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Artykuły w czasopismach na temat „Assessment; Monitoring; Point cloud”

Autor: Grafiati

Data publikacji: 28 lipca 2024

Data aktualizacji: 31 lipca 2025

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1

Jaalama, Kaisa, Heikki Kauhanen, Aino Keitaanniemi, et al. "3D Point Cloud Data in Conveying Information for Local Green Factor Assessment." ISPRS International Journal of Geo-Information 10, no. 11 (2021): 762. http://dx.doi.org/10.3390/ijgi10110762.

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The importance of ensuring the adequacy of urban ecosystem services and green infrastructure has been widely highlighted in multidisciplinary research. Meanwhile, the consolidation of cities has been a dominant trend in urban development and has led to the development and implementation of the green factor tool in cities such as Berlin, Melbourne, and Helsinki. In this study, elements of the green factor tool were monitored with laser-scanned and photogrammetrically derived point cloud datasets encompassing a yard in Espoo, Finland. The results show that with the support of 3D point clouds, it

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Mayr, A., M. Rutzinger, and C. Geitner. "MULTITEMPORAL ANALYSIS OF OBJECTS IN 3D POINT CLOUDS FOR LANDSLIDE MONITORING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 691–97. http://dx.doi.org/10.5194/isprs-archives-xlii-2-691-2018.

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To date multi-temporal 3D point clouds from close-range sensing are used for landslide and erosion monitoring in an operational manner. Morphological changes are typically derived by calculating distances between points from different acquisition epochs. The identification of the underlying processes resulting in surface changes, however, is often challenging, for example due to the complex surface structures and influences from seasonal vegetation dynamics. We present an approach for object-based 3D landslide monitoring based on topographic LiDAR point cloud time series separating specific su

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Kyriou, Aggeliki, Konstantinos Nikolakopoulos, and Ioannis Koukouvelas. "Timely and Low-Cost Remote Sensing Practices for the Assessment of Landslide Activity in the Service of Hazard Management." Remote Sensing 14, no. 19 (2022): 4745. http://dx.doi.org/10.3390/rs14194745.

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Landslides are among the most dangerous and catastrophic events in the world. The increasing progress in remote sensing technology made landslide observations timely, systematic and less costly. In this context, we collected multi-dated data obtained by Unmanned Aerial Vehicle (UAV) campaigns and Terrestrial Laser Scanning (TLS) surveys for the accurate and immediate monitoring of a landslide located in a steep and v-shaped valley, in order to provide operational information concerning the stability of the area to the local authorities. The derived data were processed appropriately, and UAV-ba

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Liu, Dan, Dajun Li, Meizhen Wang, and Zhiming Wang. "3D Change Detection Using Adaptive Thresholds Based on Local Point Cloud Density." ISPRS International Journal of Geo-Information 10, no. 3 (2021): 127. http://dx.doi.org/10.3390/ijgi10030127.

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In recent years, because of highly developed LiDAR (Light Detection and Ranging) technologies, there has been increasing demand for 3D change detection in urban monitoring, urban model updating, and disaster assessment. In order to improve the effectiveness of 3D change detection based on point clouds, an approach for 3D change detection using point-based comparison is presented in this paper. To avoid density variation in point clouds, adaptive thresholds are calculated through the k-neighboring average distance and the local point cloud density. A series of experiments for quantitative evalu

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Gonizzi Barsanti, Sara, Marco Raoul Marini, Saverio Giulio Malatesta, and Adriana Rossi. "Evaluation of Denoising and Voxelization Algorithms on 3D Point Clouds." Remote Sensing 16, no. 14 (2024): 2632. http://dx.doi.org/10.3390/rs16142632.

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Proper documentation is fundamental to providing structural health monitoring, damage identification and failure assessment for Cultural Heritage (CH). Three-dimensional models from photogrammetric and laser scanning surveys usually provide 3D point clouds that can be converted into meshes. The point clouds usually contain noise data due to different causes: non-cooperative material or surfaces, bad lighting, complex geometry and low accuracy of the instruments utilized. Point cloud denoising has become one of the hot topics of 3D geometric data processing, removing these noise data to recover

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Zhang, Ju, Qingwu Hu, Hongyu Wu, Junying Su, and Pengcheng Zhao. "Application of Fractal Dimension of Terrestrial Laser Point Cloud in Classification of Independent Trees." Fractal and Fractional 5, no. 1 (2021): 14. http://dx.doi.org/10.3390/fractalfract5010014.

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Tree precise classification and identification of forest species is a core issue of forestry resource monitoring and ecological effect assessment. In this paper, an independent tree species classification method based on fractal features of terrestrial laser point cloud is proposed. Firstly, the terrestrial laser point cloud data of an independent tree is preprocessed to obtain terrestrial point clouds of independent tree canopy. Secondly, the multi-scale box-counting dimension calculation algorithm of independent tree canopy dense terrestrial laser point cloud is proposed. Furthermore, a robu

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Wang, Yi, Hao Peng, Cheng Ouyang, et al. "PSCDR-BMPNet: A Point-Supervised Contrastive Deep Regression Network for Point Cloud Biomass Prediction." Applied Sciences 15, no. 14 (2025): 7671. https://doi.org/10.3390/app15147671.

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Accurate assessment of above-ground biomass (AGB) is essential for optimizing crop growth and enhancing agricultural efficiency. However, predicting above-ground biomass (AGB) presents significant challenges. Traditional point cloud networks often struggle with processing crop structures and data characteristics, hindering their ability to predict biomass accurately. To address these limitations, we propose a point-supervised contrastive deep regression method (PSCDR) and a novel network, BMP_Net (BioMixerPoint_Net). The PSCDR method leverages the benefits of deep contrastive regression while

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Sirmacek, Beril, Roderik Lindenbergh, and Jinhu Wang. "QUALITY ASSESSMENT AND COMPARISON OF SMARTPHONE AND LEICA C10 LASER SCANNER BASED POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 581–86. http://dx.doi.org/10.5194/isprs-archives-xli-b5-581-2016.

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3D urban models are valuable for urban map generation, environment monitoring, safety planning and educational purposes. For 3D measurement of urban structures, generally airborne laser scanning sensors or multi-view satellite images are used as a data source. However, close-range sensors (such as terrestrial laser scanners) and low cost cameras (which can generate point clouds based on photogrammetry) can provide denser sampling of 3D surface geometry. Unfortunately, terrestrial laser scanning sensors are expensive and trained persons are needed to use them for point cloud acquisition. A pote

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Sirmacek, Beril, Roderik Lindenbergh, and Jinhu Wang. "QUALITY ASSESSMENT AND COMPARISON OF SMARTPHONE AND LEICA C10 LASER SCANNER BASED POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 581–86. http://dx.doi.org/10.5194/isprsarchives-xli-b5-581-2016.

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3D urban models are valuable for urban map generation, environment monitoring, safety planning and educational purposes. For 3D measurement of urban structures, generally airborne laser scanning sensors or multi-view satellite images are used as a data source. However, close-range sensors (such as terrestrial laser scanners) and low cost cameras (which can generate point clouds based on photogrammetry) can provide denser sampling of 3D surface geometry. Unfortunately, terrestrial laser scanning sensors are expensive and trained persons are needed to use them for point cloud acquisition. A pote

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Dhruwa, L., and P. K. Garg. "POSITIONAL ACCURACY ASSESSMENT OF FEATURES USING LIDAR POINT CLOUD." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-3-2023 (September 5, 2023): 77–80. http://dx.doi.org/10.5194/isprs-archives-xlviii-m-3-2023-77-2023.

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Abstract. Nowadays, Light Detection and Ranging (LiDAR) data acquisition technology is gaining popularity due to its accuracy, precision, and rapid data collection. In recent years, many applications have demanded 3-D models and 3-D mapping for fly-through views of cities. LiDAR data is used to map topographic features as well as the height and density of high-rise objects, such as trees and buildings, on the earth's surface. Although there are numerous traditional surveying and space-based technologies existing to determine the elevation or height of any object are time-consuming, inaccurate,

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del Río-Barral, Pablo, Mario Soilán, Silvia María González-Collazo, and Pedro Arias. "Pavement Crack Detection and Clustering via Region-Growing Algorithm from 3D MLS Point Clouds." Remote Sensing 14, no. 22 (2022): 5866. http://dx.doi.org/10.3390/rs14225866.

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Road condition monitoring plays a critical role in transportation infrastructure maintenance and traffic safety assurance. This research introduces a methodology to detect cracks on pavement point clouds acquired with Mobile Laser Scanning systems, which offer more versatility and comprehensive information about the road environment than other specific surveying systems (i.e., profilometers, 3D cameras). The methodology comprises the following steps: (1) Road segmentation; (2) the detection of candidate crack points in individual scanning lines of the point cloud, based on point elevation; (3)

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Xu, Zhuangzhi, Xin Shen, and Lin Cao. "Extraction of Forest Structural Parameters by the Comparison of Structure from Motion (SfM) and Backpack Laser Scanning (BLS) Point Clouds." Remote Sensing 15, no. 8 (2023): 2144. http://dx.doi.org/10.3390/rs15082144.

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Forest structural parameters are key indicators for forest growth assessment, and play a critical role in forest resources monitoring and ecosystem management. Terrestrial laser scanning (TLS) can obtain three-dimensional (3D) forest structures with ultra-high precision without destruction, whereas some shortcomings such as non-portability and cost-consuming can limit the quick and broad acquisition of forest structure. Structure from motion (SfM) and backpack laser scanning (BLS) technology have the advantages of low-cost and high-portability while obtaining 3D structure information of forest

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Wang, Lujia, Yifan Chen, Jianghao Qi, Kai Zhou, Zhijie He, and Lei Jin. "A Detection Method for Open–Close States of High-Voltage Disconnector in Smoky Environments." Sensors 25, no. 5 (2025): 1280. https://doi.org/10.3390/s25051280.

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Computer vision-based state recognition is widely employed in substations, but conventional video monitoring systems often encounter challenges during emergency situations, such as smoke from fires. In such scenarios, LiDAR emerges as an appealing alternative, capable of capturing the depth information of the target. However, when smoke concentration is high, the quality of collected point cloud data deteriorates, impacting the assessment of the disconnector open–close status. This paper delves into the impact of a smoky environment on point cloud data and introduces a two-stage discrimination

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Matwij, Wojciech, Tomasz Lipecki, and Wojciech Franciszek Jaśkowski. "Selection of an Algorithm for Assessing the Verticality of Complex Slender Objects Using Semi-Automatic Point Cloud Analysis." Remote Sensing 16, no. 3 (2024): 435. http://dx.doi.org/10.3390/rs16030435.

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Remote technologies, including laser scanning, are frequently employed to acquire data describing the geometric condition of engineering objects. The automation of point cloud processing becomes essential for promptly and reliably monitoring changes in their current shape. The article introduces a methodology for generating point clouds, focusing on detecting the shape of the object’s cross profiles and subsequently determining its inclination through simulations and real data recorded using terrestrial laser scanning technology. The simulations enabled the identification of variations in the

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Dąbrowski, Paweł, Łukasz Marchel, Radosław Kiciński, and Roderik Lindenbergh. "Assessment of the Symmetry and Deformation of a Submarine Hull Using the PCSE Method." Polish Maritime Research 31, no. 4 (2024): 174–86. https://doi.org/10.2478/pomr-2024-0061.

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Abstract The paper presents a new dry-dock method for assessing the deformation of submarine hulls using TLS point cloud data and the point cloud spatial expansion method (PCSE). The advantage of the proposed approach is the high-resolution deformation analysis that can be conducted in the case of both the availability and a lack of technical documentation on the submarine hull. The geometry assessment involves two-plane hull symmetry in longitudinal sections of a tested Kobben-class submarine located in Gdynia, Poland. The features of PCSE introduce additional geometrical parameters that are

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Zhou, Hong, Qingda Li, and Qiuju Xie. "Individual Pig Identification Using Back Surface Point Clouds in 3D Vision." Sensors 23, no. 11 (2023): 5156. http://dx.doi.org/10.3390/s23115156.

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The individual identification of pigs is the basis for precision livestock farming (PLF), which can provide prerequisites for personalized feeding, disease monitoring, growth condition monitoring and behavior identification. Pig face recognition has the problem that pig face samples are difficult to collect and images are easily affected by the environment and body dirt. Due to this problem, we proposed a method for individual pig identification using three-dimension (3D) point clouds of the pig’s back surface. Firstly, a point cloud segmentation model based on the PointNet++ algorithm is esta

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Aboutalebi, Mahyar, Alfonso F. Torres-Rua, Mac McKee, et al. "Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models." Remote Sensing 12, no. 1 (2019): 50. http://dx.doi.org/10.3390/rs12010050.

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In recent years, the deployment of satellites and unmanned aerial vehicles (UAVs) has led to production of enormous amounts of data and to novel data processing and analysis techniques for monitoring crop conditions. One overlooked data source amid these efforts, however, is incorporation of 3D information derived from multi-spectral imagery and photogrammetry algorithms into crop monitoring algorithms. Few studies and algorithms have taken advantage of 3D UAV information in monitoring and assessment of plant conditions. In this study, different aspects of UAV point cloud information for enhan

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Yin, Chao, Haoran Li, Zhinan Hu, and Ying Li. "Application of the Terrestrial Laser Scanning in Slope Deformation Monitoring: Taking a Highway Slope as an Example." Applied Sciences 10, no. 8 (2020): 2808. http://dx.doi.org/10.3390/app10082808.

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Slope deformation monitoring is the prerequisite for disaster risk assessment and engineering control. Terrestrial laser scanning (TLS) is highly applicable to this field. Coarse registration method of point cloud based on scale-invariant feature transform (SIFT) feature points and fine registration method based on the k-dimensional tree (K-D tree) improved iterative closest point (ICP) algorithm were proposed. The results show that they were superior to other algorithms (such as speeded-up robust features (SURF) feature points, Harris feature points, and Levenberg-Marquardt (LM) improved ICP

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Wang, Xianwei, Yidan Wang, Xionghui Liao, et al. "Monitoring of Levee Deformation for Urban Flood Risk Management Using Airborne 3D Point Clouds." Water 16, no. 4 (2024): 559. http://dx.doi.org/10.3390/w16040559.

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In the low-lying, river-rich Pearl River Delta in South China, an extensive network of flood defense levees, spanning over 4400 km, plays a crucial role in urban flood management. These levees are designed to withstand floods and storm surges, yet their failure can lead to significant human and economic losses, highlighting the need for robust urban flood defense strategies. This necessitates the development of a sophisticated geographic information system for the levee network and rapid, accurate assessment methods for levee conditions to support water management and flood mitigation efforts.

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Zeybek, M., and İ. Şanloğlu. "LANDSLIDE MONITORING AND ASSESSMENT FOR HIGHWAY RETAININGWALL: THE CASE STUDY OF TAŞKENT(TURKEY) LANDSLIDE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4 (March 6, 2018): 603–8. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w4-603-2018.

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<p><strong>Abstract.</strong> Landslide monitoring and assessment of the highways retaining walls are a crucial task. Because there exist a risk and danger with regard to the movement of the wall to the highway by landslide force that may spread further. To evaluate the changing, movements have to be monitored. For this reason, we practised mobile LiDAR surveys on the landslide effected wall on the highway. The usage of the mobile LiDAR systems have significantly increased in recent years, especially for road management. Currently, mobile LiDAR technology is capable of measur

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Chidburee, P., J. P. Mills, P. E. Miller, and K. D. Fieber. "TOWARDS A LOW-COST, REAL-TIME PHOTOGRAMMETRIC LANDSLIDE MONITORING SYSTEM UTILISING MOBILE AND CLOUD COMPUTING TECHNOLOGY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 791–97. http://dx.doi.org/10.5194/isprs-archives-xli-b5-791-2016.

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Close-range photogrammetric techniques offer a potentially low-cost approach in terms of implementation and operation for initial assessment and monitoring of landslide processes over small areas. In particular, the Structure-from-Motion (SfM) pipeline is now extensively used to help overcome many constraints of traditional digital photogrammetry, offering increased user-friendliness to nonexperts, as well as lower costs. However, a landslide monitoring approach based on the SfM technique also presents some potential drawbacks due to the difficulty in managing and processing a large volume of

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Chidburee, P., J. P. Mills, P. E. Miller, and K. D. Fieber. "TOWARDS A LOW-COST, REAL-TIME PHOTOGRAMMETRIC LANDSLIDE MONITORING SYSTEM UTILISING MOBILE AND CLOUD COMPUTING TECHNOLOGY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 791–97. http://dx.doi.org/10.5194/isprsarchives-xli-b5-791-2016.

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Close-range photogrammetric techniques offer a potentially low-cost approach in terms of implementation and operation for initial assessment and monitoring of landslide processes over small areas. In particular, the Structure-from-Motion (SfM) pipeline is now extensively used to help overcome many constraints of traditional digital photogrammetry, offering increased user-friendliness to nonexperts, as well as lower costs. However, a landslide monitoring approach based on the SfM technique also presents some potential drawbacks due to the difficulty in managing and processing a large volume of

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Eboigbe, M. A., and D. B. Kidner. "ASSESSMENT OF THE PRECISION OF A SMART-PHONE POLE PHOTOGRAMMETRY FOR A SECOND-ORDER CLIFF SURFACE DEFORMATION STUDIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-M-2-2020 (November 17, 2020): 15–24. http://dx.doi.org/10.5194/isprs-archives-xliv-m-2-2020-15-2020.

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Abstract. Coastal cliff is almost a vertical elongated structure with a wave-cut notch and a landslip. Cliffs are geological formations with an almost unpredictable and unstoppable detachment between constitutes formations. Due to health, safety, environmental, and military restrictions, there are more regulations and restrictions on the use of drones. There are also the issues of portability and high cost for the purchase of hybrid drones and Terrestrial Laser Scanners (TLS). These negate the regular monitoring of the coastal cliff. This research develops a rapid, low-cost, and precise digita

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Markiewicz, Jakub. "Evaluation of 2D affine — hand-crafted detectors for feature-based TLS point cloud registration." Reports on Geodesy and Geoinformatics 117, no. 1 (2024): 69–88. http://dx.doi.org/10.2478/rgg-2024-0008.

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Abstract The development of modern surveying methods, particularly, Terrestrial Laser Scanning (TLS), has found wide application in protecting and monitoring engineering and objects and sites of cultural heritage. For this reason, it is crucial that several factors a˛ecting the correctness of point cloud registration are considered, including the correctness of the distribution of control points (both signalised and natural), the quality of the process, and robustness analysis. The aim of this article is to evaluate the quality and correctness of TLS registration based on point clouds converte

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Zhang, Hongwei, Yanjie Zhu, Wen Xiong, and C. S. Cai. "Point Cloud Registration Methods for Long-Span Bridge Spatial Deformation Monitoring Using Terrestrial Laser Scanning." Structural Control and Health Monitoring 2023 (February 9, 2023): 1–16. http://dx.doi.org/10.1155/2023/2629418.

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In recent years, efforts have been devoted to utilizing terrestrial laser scanning for bridge spatial performance inspection, but they are still restricted to small or medium-span bridges, like some historical heritages. Due to the large-scale dimensional features of long-span bridges, applications of 3D point cloud techniques still remain challenging, such as the extra-long scan range and extreme-small incidence angle when scanning a bridge with a span over 1000 m. Moreover, rare attempts can be found for the performance evaluation of point cloud registration methods for long-span bridges as

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Ma, Hao, Yarui Liu, Shijie Jiang, et al. "Winter Wheat Canopy Height Estimation Based on the Fusion of LiDAR and Multispectral Data." Agronomy 15, no. 5 (2025): 1094. https://doi.org/10.3390/agronomy15051094.

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Wheat canopy height is an important parameter for monitoring growth status. Accurately predicting the wheat canopy height can improve field management efficiency and optimize fertilization and irrigation. Changes in the growth characteristics of wheat at different growth stages affect the canopy structure, leading to changes in the quality of the LiDAR point cloud (e.g., lower density, more noise points). Multispectral data can capture these changes in the crop canopy and provide more information about the growth status of wheat. Therefore, a method is proposed that fuses LiDAR point cloud fea

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Farmakis, I., D. Bonneau, D. J. Hutchinson, and N. Vlachopoulos. "SUPERVOXEL-BASED MULTI-SCALE POINT CLOUD SEGMENTATION USING FNEA FOR OBJECT-ORIENTED ROCK SLOPE CLASSIFICATION USING TLS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 1049–56. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1049-2020.

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Abstract. Computer vision applications have been increasingly gaining space in the field of remote sensing and geosciences for automated terrain classification and semantic labelling purposes. The continuous and rapid development of monitoring techniques and enhancements in the spatial resolution of sensors have increased the demand for new remote sensing data analysis approaches. For semantic labelling of 2D (or 2.5D) image terrain representations for rock slopes, it has been shown that Object-Based Image Analysis (OBIA) results in high efficiency and accurate identification of landslide haza

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Kaiser, Soraya, Julia Boike, Guido Grosse, and Moritz Langer. "The Potential of UAV Imagery for the Detection of Rapid Permafrost Degradation: Assessing the Impacts on Critical Arctic Infrastructure." Remote Sensing 14, no. 23 (2022): 6107. http://dx.doi.org/10.3390/rs14236107.

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Ground subsidence and erosion processes caused by permafrost thaw pose a high risk to infrastructure in the Arctic. Climate warming is increasingly accelerating the thawing of permafrost, emphasizing the need for thorough monitoring to detect damages and hazards at an early stage. The use of unoccupied aerial vehicles (UAVs) allows a fast and uncomplicated analysis of sub-meter changes across larger areas compared to manual surveys in the field. In our study, we investigated the potential of photogrammetry products derived from imagery acquired with off-the-shelf UAVs in order to provide a low

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Özkan, Taşkın, Iosif Lavric, Georg Hochreiner, and Norbert Pfeifer. "Automated 3D Modeling vs. Manual Methods: A Comparative Study on Historic Timber Tower Structure Assessment." Remote Sensing 17, no. 3 (2025): 448. https://doi.org/10.3390/rs17030448.

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The present study focuses on the preservation of historic timber constructions, crucial cultural heritage assets that demand effective structural health monitoring (SHM) to ensure safety and integrity. SHM aims to detect and evaluate potential structural deviations that may compromise performance, requiring both detailed geometric data acquisition and 3D modeling. For this purpose, contactless tools such as photogrammetry, laser scanning, and other topographic methods are employed to gather point cloud data. This research utilizes a terrestrial laser scanner (TLS) to generate 3D models of the

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Antón, Daniel, and José-Lázaro Amaro-Mellado. "Engineering Graphics for Thermal Assessment: 3D Thermal Data Visualisation Based on Infrared Thermography, GIS and 3D Point Cloud Processing Software." Symmetry 13, no. 2 (2021): 335. http://dx.doi.org/10.3390/sym13020335.

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Engineering graphics are present in the design stage, but also constitute a way to communicate, analyse, and synthesise. In the Architecture-Engineering-Construction sector, graphical data become essential in analysing buildings and constructions throughout their lifecycles, such as in the thermal behaviour assessment of building envelopes. Scientific research has addressed the thermal image mapping onto three-dimensional (3D) models for visualisation and analysis. However, the 3D point cloud data creation of buildings’ thermal behaviour directly from rectified infrared thermography (IRT) ther

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Antón, Daniel, and José-Lázaro Amaro-Mellado. "Engineering graphics for thermal assessment: 3D thermal data visualisation based on infrared thermography, GIS and 3D point cloud processing software." Symmetry 13, no. 2 (2021): 335. https://doi.org/10.3390/sym13020335.

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Engineering graphics are present in the design stage, but also constitute a way to communicate, analyse, and synthesise. In the Architecture-Engineering-Construction sector, graphical data become essential in analysing buildings and constructions throughout their lifecycles, such as in the thermal behaviour assessment of building envelopes. Scientific research has addressed the thermal image mapping onto three-dimensional (3D) models for visualisation and analysis. However, the 3D point cloud data creation of buildings’ thermal behaviour directly from rectified infrared thermography (IRT

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Almac, Umut, Isıl Polat Pekmezci, and Metin Ahunbay. "Numerical Analysis of Historic Structural Elements Using 3D Point Cloud Data." Open Construction and Building Technology Journal 10, no. 1 (2016): 233–45. http://dx.doi.org/10.2174/1874836801610010233.

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The 3D laser scanner has become a common instrument in numerous field applications such as structural health monitoring, assessment and documentation of structural damages, volume and dimension control of excavations, geometrical recording of built environment, and construction progress monitoring in different fields. It enables capture of millions of points from the surface of objects with high accuracy and in a very short time. These points can be employed to extrapolate the shape of the elements. In this way, the collected data can be developed to construct three-dimensional digital models

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Lattanzio, A., F. Fell, R. Bennartz, I. F. Trigo, and J. Schulz. "Quality assessment and improvement of the EUMETSAT Meteosat Surface Albedo Climate Data Record." Atmospheric Measurement Techniques 8, no. 10 (2015): 4561–71. http://dx.doi.org/10.5194/amt-8-4561-2015.

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Abstract. Surface albedo has been identified as an important parameter for understanding and quantifying the Earth's radiation budget. EUMETSAT generated the Meteosat Surface Albedo (MSA) Climate Data Record (CDR) currently comprising up to 24 years (1982–2006) of continuous surface albedo coverage for large areas of the Earth. This CDR has been created within the Sustained, Coordinated Processing of Environmental Satellite Data for Climate Monitoring (SCOPE-CM) framework. The long-term consistency of the MSA CDR is high and meets the Global Climate Observing System (GCOS) stability requiremen

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Lattanzio, A., F. Fell, R. Bennartz, I. F. Trigo, and J. Schulz. "Quality assessment and improvement of the EUMETSAT Meteosat Surface Albedo Climate Data Record." Atmospheric Measurement Techniques Discussions 8, no. 7 (2015): 7535–71. http://dx.doi.org/10.5194/amtd-8-7535-2015.

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Abstract. Surface albedo has been identified as an important parameter for understanding and quantifying the Earth's radiation budget. EUMETSAT generated the Meteosat Surface Albedo (MSA) Climate Data Record (CDR) currently comprising up to 24 years (1982–2006) of continuous surface albedo coverage for large areas of the Earth. This CDR has been created within the Sustained and Coordinated Processing of Environmental Satellite Data for Climate Monitoring (SCOPE-CM) framework. The long-term consistency of the MSA CDR is high and meets the Global Climate Observing System (GCOS) stability require

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Shafaat, Osama Bin, Heikki Kauhanen, Arttu Julin, and Matti Vaaja. "Comparative analysis of high-resolution UAV photogrammetry and terrestrial laser scanning for detecting and quantifying urban vegetation changes." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-G-2025 (July 12, 2025): 795–803. https://doi.org/10.5194/isprs-annals-x-g-2025-795-2025.

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Abstract. Extensive urban expansion has significantly impacted green spaces leading to the degradation of urban vegetation. Hence, monitoring variations in vegetation using remote sensing methods is essential. However, 2D remote sensing methods have drawbacks as they lack vertical structures in urban areas, shadows caused by buildings, cloud cover and require substantial preprocessing to encounter these limitations. This study focuses on identifying and quantifying changes in Malminkartano, Helsinki during the leaf-off and leaf-on seasons for the year 2022. The research utilized terrestrial la

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Shlyahova, M. M., and I. Yu Lakeev. "Monitoring of oil and gas industry facilities using airborne laser scanning." Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 27, no. 6 (2022): 64–72. http://dx.doi.org/10.33764/2411-1759-2022-27-6-64-72.

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The article presents a progressive method for performing aerial laser scanning of the territory of a well pad from an unmanned aerial vehicle DJI Matrice 300. The method includes the stages of planning, surveying, data processing and accuracy assessment. A description of the scanning process is given with a complete description of the experimental part and the main steps for processing the obtained data in the CoPre 2. By analyzing the profile of the point cloud, an accuracy assessment was made, which showed that the array of scanning points was obtained with an absolute accuracy not exceeding

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Khan, Rehana Sultana. "Cloud Integration Strategies for Modern Applications: A Systematic Approach." European Journal of Computer Science and Information Technology 13, no. 8 (2025): 50–60. https://doi.org/10.37745/ejcsit.2013/vol13n85060.

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Cloud integration represents a critical capability for organizations navigating the complex digital transformation landscape. This comprehensive examination explores the fundamental principles, methodologies, architectures, and implementation strategies for effective cloud integration across enterprise environments. The extensive adoption of cloud services has created an urgent need for sophisticated integration approaches that connect disparate systems while maintaining security, performance, and compliance. Key integration patterns, including message channels, content-based routers, and even

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Zhang, H., Y. W. Guo, Y. Hou, L. Tang, and M. Deveci. "Improved Whale Optimization Algorithm for supply chain financial risk assessment of cloud warehouse platform." Advances in Production Engineering & Management 19, no. 3 (2024): 395–407. https://doi.org/10.14743/apem2024.3.515.

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This study provides an in-depth analysis of a new financial model for cloud warehouses and evaluates the associated credit risk within the context of supply chain financing, focusing on the intelligent transformation in this field. Concurrently, an optimization problem was derived from the evaluation issue, with the whale optimization algorithm (WOA) used to identify a reasonable default point and distance. To simplify the identification of these points, we enhanced the traditional WOA, resulting in an improved version, the IWOA, which demonstrated very good optimization performance. The IWOA'

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Shi, Mengxi, Shuhan Xing, He Bai, Dawei Xu, and Lei Shi. "The Effect of Vegetation Ecological Restoration by Integrating Multispectral Remote Sensing and Laser Point Cloud Monitoring Technology." Plants 13, no. 22 (2024): 3164. http://dx.doi.org/10.3390/plants13223164.

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This research aims to evaluate and monitor the effectiveness of vegetation ecological restoration by integrating Multispectral Remote Sensing (MRS) and laser point cloud (LPC) monitoring technologies. Traditional vegetation restoration monitoring methods often face challenges of inaccurate data and insufficient coverage, and the use of MRS or LPC techniques alone has its limitations. Therefore, to more accurately monitor the vegetation restoration status, this study proposes a new monitoring method that combines the advantages of the large-scale coverage of MRS technology and the high-precisio

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Venkata Surya Hanuma Sivakrishna Penugonda. "Regulatory convergence in financial cloud computing: A framework for compliance in the digital Banking Era." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 445–53. https://doi.org/10.30574/wjaets.2025.15.2.0579.

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This article explores how financial institutions can achieve regulatory compliance when adopting cloud technologies. It introduces a structured framework integrating encryption, IAM, audit logging, and real-world cloud provider capabilities. Case studies and future technology trends offer actionable insights for compliance officers and technologists navigating the evolving digital banking ecosystem. Executive Summary Problem: Financial institutions face a complex and fragmented regulatory landscape when migrating to cloud services, creating challenges in governance, data protection, and compli

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Arroyo-Mora, Juan Pablo, Margaret Kalacska, Alireza Roghani, and Oliver Lucanus. "Assessment of UAS Photogrammetry and Planet Imagery for Monitoring Water Levels around Railway Tracks." Drones 7, no. 9 (2023): 553. http://dx.doi.org/10.3390/drones7090553.

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High water levels near railway tracks can be a major factor affecting the safety of train passage. Water conditions near the tracks are normally monitored through visual inspections. However, this method is limited in spatial coverage and may not provide comparable information over time. We evaluated the utility of satellite imagery (Planet Dove constellation at 3 m pixel size) at the landscape level to assess overall water surface area along railway tracks. Comparatively, we evaluated the use of Structure- from-Motion 3D point clouds and high spatial detail orthomosaics (3 cm) generated from

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Zakeri, Abdollah, Bikram Koirala, Jiming Kang, et al. "SMS3D: 3D Synthetic Mushroom Scenes Dataset for 3D Object Detection and Pose Estimation." Computers 14, no. 4 (2025): 128. https://doi.org/10.3390/computers14040128.

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The mushroom farming industry struggles to automate harvesting due to limited large-scale annotated datasets and the complex growth patterns of mushrooms, which complicate detection, segmentation, and pose estimation. To address this, we introduce a synthetic dataset with 40,000 unique scenes of white Agaricus bisporus and brown baby bella mushrooms, capturing realistic variations in quantity, position, orientation, and growth stages. Our two-stage pose estimation pipeline combines 2D object detection and instance segmentation with a 3D point cloud-based pose estimation network using a Point T

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Alsadik, Bashar, Nagham Amer Abdulateef, and Yousif Husain Khalaf. "Out of Plumb Assessment for Cylindrical-Like Minaret Structures Using Geometric Primitives Fitting." ISPRS International Journal of Geo-Information 8, no. 2 (2019): 64. http://dx.doi.org/10.3390/ijgi8020064.

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Cultural heritage documentation and monitoring represents one of the major tasks for experts in the field of surveying, photogrammetry and geospatial engineering. Cultural heritage objects in countries like Iraq and Syria have suffered from intentional destruction or demolition during the last few years. Furthermore, many heritage sites in the mentioned places have an added religious value, and were either destroyed or are still in danger. Mosques, churches and shrines typically include one or multiple tower structures, and these towers or minarets are in many cases cylindrical-like objects. B

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Nikolova, Valentina, Veselina Gospodinova, and Asparuh Kamburov. "Assessment of Unmanned Aerial System Flight Plans for Data Acquisition from Erosional Terrain." Geosciences 14, no. 3 (2024): 75. http://dx.doi.org/10.3390/geosciences14030075.

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Accurate data mapping and visualization are of crucial importance for the detection and monitoring of slope morphodynamics, including erosion processes and studying small erosional landforms (rills and gullies). The purpose of the current research is to examine how the flight geometry of unmanned aerial systems (UASs) could affect the accuracy of photogrammetric processing products, concerning small erosion landforms that are a result of slope wash and temporary small streams formed by rain. In October 2021, three UAS flights with a different geometry were carried out in a hilly to a low-mount

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Murtiyoso, Arnadi, and Pierre Grussenmeyer. "Virtual Disassembling of Historical Edifices: Experiments and Assessments of an Automatic Approach for Classifying Multi-Scalar Point Clouds into Architectural Elements." Sensors 20, no. 8 (2020): 2161. http://dx.doi.org/10.3390/s20082161.

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3D heritage documentation has seen a surge in the past decade due to developments in reality-based 3D recording techniques. Several methods such as photogrammetry and laser scanning are becoming ubiquitous amongst architects, archaeologists, surveyors, and conservators. The main result of these methods is a 3D representation of the object in the form of point clouds. However, a solely geometric point cloud is often insufficient for further analysis, monitoring, and model predicting of the heritage object. The semantic annotation of point clouds remains an interesting research topic since tradi

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Arunajyothi, G. "Key based Access Control Policies to Solve Security in Cloud Data Sharing." International Journal of Emerging Research in Management and Technology 6, no. 12 (2018): 45. http://dx.doi.org/10.23956/ijermt.v6i12.33.

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Cloud achieves not just diverse levels of accommodation and proficiency issues albeit persistently advancing in such manner, additionally extraordinary difficulties in the field of information assurance. SaaS based distributed computing stockpiling suppliers, for example, google, send space have been there for calm at some point with the security viewpoint continually being disregarded. So we propose a cloud construction modeling that addresses the security perspective as for encryption, access control and with respect to risk assessment, key controls, and monitoring and reporting execution si

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Terokhin, Vitalii L., Mykola G. Stervoyedov, and Oleg V. Ridozub. "Application Of The IoT Technology and Cloud Services for Radiation Monitoring." Control Systems and Computers, no. 2-3 (292-293) (July 2021): 60–68. http://dx.doi.org/10.15407/csc.2021.02.060.

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Introduction. Cloud services are the most promising technologies for monitoring radiation pollution. They are a set of geographically distributed wireless sensor nodes designed to collect, sometimes pre-process, information about environmental parameters, as well as to transmit this information to remote users. Purpose. Development of basic methods for applying cloud services for IoT radiation and Environmental Research Technology. A comprehensive assessment of the state of the ecosystem, including its impact on humans, was carried out. At the same time, a promising direction is proposed, name

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Mistretta, Fausto, Giannina Sanna, Flavio Stochino, and Giuseppina Vacca. "Structure from Motion Point Clouds for Structural Monitoring." Remote Sensing 11, no. 16 (2019): 1940. http://dx.doi.org/10.3390/rs11161940.

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Dense point clouds acquired from Terrestrial Laser Scanners (TLS) have proved to be effective for structural deformation assessment. In the last decade, many researchers have defined methodology and workflow in order to compare different point clouds, with respect to each other or to a known model, assessing the potentialities and limits of this technique. Currently, dense point clouds can be obtained by Close-Range Photogrammetry (CRP) based on a Structure from Motion (SfM) algorithm. This work reports on a comparison between the TLS technique and the Close-Range Photogrammetry using the Stru

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Jarahizadeh, Sina, and Bahram Salehi. "A Comparative Analysis of UAV Photogrammetric Software Performance for Forest 3D Modeling: A Case Study Using AgiSoft Photoscan, PIX4DMapper, and DJI Terra." Sensors 24, no. 1 (2024): 286. http://dx.doi.org/10.3390/s24010286.

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Three-dimensional (3D) modeling of trees has many applications in various areas, such as forest and urban planning, forest health monitoring, and carbon sequestration, to name a few. Unmanned Aerial Vehicle (UAV) photogrammetry has recently emerged as a low cost, rapid, and accurate method for 3D modeling of urban and forest trees replacing the costly traditional methods such as plot measurements and surveying. There are numerous commercial and open-source software programs available, each processing UAV data differently to generate forest 3D modeling and photogrammetric products, including po

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Mestre-Runge, Christian, Jorge Lorenzo-Lacruz, Aaron Ortega-Mclear, and Celso Garcia. "An Optimized Workflow for Digital Surface Model Series Generation Based on Historical Aerial Images: Testing and Quality Assessment in the Beach-Dune System of Sa Ràpita-Es Trenc (Mallorca, Spain)." Remote Sensing 15, no. 8 (2023): 2044. http://dx.doi.org/10.3390/rs15082044.

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We propose an optimized Structure-from-Motion (SfM) Multi-View Stereopsis (MVS) workflow, based on minimizing different errors and inaccuracies of historical aerial photograph series (1945, 1979, 1984, and 2008 surveys), prior to generation of elevation-calibrated historical Digital Surface Models (hDSM) at 1 m resolution. We applied LiDAR techniques on Airborne Laser Scanning (ALS) point clouds (Spanish PNOA LiDAR flights of 2014 and 2019) for comparison and validation purposes. Implementation of these products in multi-temporal analysis requires quality control due to the diversity of source

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