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Journal articles on the topic 'M3C2 surface change detection'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Zahs, V., L. Winiwarter, K. Anders, et al. "EVALUATION OF UAV-BORNE PHOTOGRAMMETRY AND LASER SCANNING FOR 3D TOPOGRAPHIC CHANGE ANALYSIS AT AN ACTIVE ROCK GLACIER." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (May 30, 2022): 1109–16. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-1109-2022.

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Abstract. Point clouds derived from UAV-borne laser scanning and UAV-borne photogrammetry provide new opportunities for 3D topographic monitoring in geographic research. The airborne acquisition strategy overcomes common challenges of ground-based techniques, such as limited spatial coverage or heterogeneous measurement distribution, and allows flexible repeated acquisitions at high temporal and spatial resolution. While UAV-borne 3D sensing techniques are expected to thereby enhance geographic monitoring, their specific potential for methods and algorithms of 3D change analysis is yet to be i

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Nourbakhshbeidokhti, Samira, Alicia Kinoshita, Anne Chin, and Joan Florsheim. "A Workflow to Estimate Topographic and Volumetric Changes and Errors in Channel Sedimentation after Disturbance." Remote Sensing 11, no. 5 (2019): 586. http://dx.doi.org/10.3390/rs11050586.

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Light Detection and Ranging (LiDAR) methods, such as ground-based Terrestrial Laser Scanning (TLS), have enabled collection of high-resolution point clouds of elevation data to calculate changes in fluvial systems after disturbance, but are often accompanied by uncertainty and errors. This paper reviews and compares TLS analysis methods and develops a workflow to estimate topographic and volumetric changes in channel sedimentation after disturbance. Four analytic methods to estimate topographic and volumetric changes were compared by quantifying the uncertainty in TLS-derived products: Digital

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Winiwarter, Lukas, Katharina Anders, Daniel Czerwonka-Schröder, and Bernhard Höfle. "Full four-dimensional change analysis of topographic point cloud time series using Kalman filtering." Earth Surface Dynamics 11, no. 4 (2023): 593–613. http://dx.doi.org/10.5194/esurf-11-593-2023.

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Abstract. Four-dimensional (4D) topographic point clouds contain information on surface change processes and their spatial and temporal characteristics, such as the duration, location, and extent of mass movements. To automatically extract and analyze changes and patterns in surface activity from this data, methods considering the spatial and temporal properties are required. The commonly used model-to-model cloud comparison (M3C2) point cloud distance reduces uncertainty through spatial averaging for bitemporal analysis. To extend this concept into the full spatiotemporal domain, we use a Kal

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Duffy, James, Jamie Shutler, Matthew Witt, Leon DeBell, and Karen Anderson. "Tracking Fine-Scale Structural Changes in Coastal Dune Morphology Using Kite Aerial Photography and Uncertainty-Assessed Structure-from-Motion Photogrammetry." Remote Sensing 10, no. 9 (2018): 1494. http://dx.doi.org/10.3390/rs10091494.

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Coastal dunes are globally-distributed dynamic ecosystems that occur at the land-sea interface. They are sensitive to disturbance both from natural forces and anthropogenic stressors, and therefore require regular monitoring to track changes in their form and function ultimately informing management decisions. Existing techniques employing satellite or airborne data lack the temporal or spatial resolution to resolve fine-scale changes in these environments, both temporally and spatially whilst fine-scale in-situ monitoring (e.g., terrestrial laser scanning) can be costly and is therefore confi

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Williams, Jack G., Nick J. Rosser, Richard J. Hardy, Matthew J. Brain, and Ashraf A. Afana. "Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency." Earth Surface Dynamics 6, no. 1 (2018): 101–19. http://dx.doi.org/10.5194/esurf-6-101-2018.

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Abstract. We present a monitoring technique tailored to analysing change from near-continuously collected, high-resolution 3-D data. Our aim is to fully characterise geomorphological change typified by an event magnitude–frequency relationship that adheres to an inverse power law or similar. While recent advances in monitoring have enabled changes in volume across more than 7 orders of magnitude to be captured, event frequency is commonly assumed to be interchangeable with the time-averaged event numbers between successive surveys. Where events coincide, or coalesce, or where the mechanisms dr

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Luo, Weidong, Shu Gan, Xiping Yuan, et al. "Repeated UAV Observations and Digital Modeling for Surface Change Detection in Ring Structure Crater Margin in Plateau." Drones 7, no. 5 (2023): 298. http://dx.doi.org/10.3390/drones7050298.

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As UAV technology has been leaping forward, small consumer-grade UAVs equipped with optical sensors are capable of easily acquiring high-resolution images, which show bright prospects in a wide variety of terrains and different fields. First, the crater rim landscape of the Dinosaur Valley ring formation located on the central Yunnan Plateau served as the object of the surface change detection experiment, and two repetitive UAV ground observations of the study area were performed at the same altitude of 180 m with DJI Phantom 4 RTK in the rainy season (P1) and the dry season (P2). Subsequently

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Blanch, Xabier, Anette Eltner, Marta Guinau, and Antonio Abellan. "Multi-Epoch and Multi-Imagery (MEMI) Photogrammetric Workflow for Enhanced Change Detection Using Time-Lapse Cameras." Remote Sensing 13, no. 8 (2021): 1460. http://dx.doi.org/10.3390/rs13081460.

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Photogrammetric models have become a standard tool for the study of surfaces, structures and natural elements. As an alternative to Light Detection and Ranging (LiDAR), photogrammetry allows 3D point clouds to be obtained at a much lower cost. This paper presents an enhanced workflow for image-based 3D reconstruction of high-resolution models designed to work with fixed time-lapse camera systems, based on multi-epoch multi-images (MEMI) to exploit redundancy. This workflow is part of a fully automatic working setup that includes all steps: from capturing the images to obtaining clusters from c

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Wang, Jiapan, Rasoul Eskandari, ChengHan Lin, et al. "Investigation of Riverbank Peat Erosion in a small Alpine catchment by Multi-Temporal Point Cloud Change Analysis and Time Series Clustering." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-G-2025 (July 14, 2025): 937–44. https://doi.org/10.5194/isprs-annals-x-g-2025-937-2025.

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Abstract. Peatlands play an important role as local carbon sinks and climate archives in natural environments. In addition to degradation by human activities, peatlands can also be affected by geomorphological processes such as fluvial erosion. This study used a collection of multi-temporal 3D point clouds to investigate such a situation in a valley of the Central Alps (Austria), where a dynamically migrating river is eroding peat. To detect time periods and locations where strong erosion occurred and to quantify the local peat erosion rate over the years 2006 to 2024, 3D point clouds from air

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Bernard, Thomas G., Dimitri Lague, and Philippe Steer. "Beyond 2D landslide inventories and their rollover: synoptic 3D inventories and volume from repeat lidar data." Earth Surface Dynamics 9, no. 4 (2021): 1013–44. http://dx.doi.org/10.5194/esurf-9-1013-2021.

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Abstract. Efficient and robust landslide mapping and volume estimation is essential to rapidly infer landslide spatial distribution, to quantify the role of triggering events on landscape changes, and to assess direct and secondary landslide-related geomorphic hazards. Many efforts have been made to develop landslide mapping methods, based on 2D satellite or aerial images, and to constrain the empirical volume–area (V–A) relationship which, in turn, would allow for the provision of indirect estimates of landslide volume. Despite these efforts, major issues remain, including the uncertainty in

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Lercari, Nicola, Denise Jaffke, Arianna Campiani, et al. "Building Cultural Heritage Resilience through Remote Sensing: An Integrated Approach Using Multi-Temporal Site Monitoring, Datafication, and Web-GL Visualization." Remote Sensing 13, no. 4130 (2021): 1–24. https://doi.org/10.3390/rs13204130.

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In the American West, wildfires and earthquakes are increasingly threatening the archaeological, historical, and tribal resources that define the collective identity and connection with the past for millions of Americans. The loss of said resources diminishes societal understanding of the role cultural heritage plays in shaping our present and future. This paper examines the viability of employing stationary and SLAM-based terrestrial laser scanning, close-range photogrammetry, automated surface change detection, GIS, and WebGL visualization techniques to enhance the preservation of cultural r

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Ren, X., Z. Zhang, and H. Sun. "RESEARCH ON SELF-CROSS-TRANSFORMER MODEL OF POINT CLOUD CHANGE DETECTION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 179–86. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-179-2023.

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Abstract. With the vigorous development of the urban construction industry, engineering deformation or changes often occur during the construction process. To combat this phenomenon, it is necessary to detect changes in order to detect construction loopholes in time, ensure the integrity of the project and reduce labor costs. Or the inconvenience and injuriousness of the road. In the study of change detection in 3D point clouds, researchers have published various research methods on 3D point clouds. Directly based on but mostly based on traditional threshold distance methods (C2C, M3C2, M3C2-E

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Liu, Xiaoyu, Wu Zhu, Xugang Lian, and Xuanyu Xu. "Monitoring Mining Surface Subsidence with Multi-Temporal Three-Dimensional Unmanned Aerial Vehicle Point Cloud." Remote Sensing 15, no. 2 (2023): 374. http://dx.doi.org/10.3390/rs15020374.

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Long-term and high-intensity coal mining has led to the increasingly serious surface subsidence and environmental problems. Surface subsidence monitoring plays an important role in protecting the ecological environment of the mining area and the sustainable development of modern coal mines. The development of surveying technology has promoted the acquisition of high-resolution terrain data. The combination of an unmanned aerial vehicle (UAV) point cloud and the structure from motion (SfM) method has shown the potential of collecting multi-temporal high-resolution terrain data in complex or ina

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Fahle, Lukas, Andrew J. Petruska, Gabriel Walton, Jurgen F. Brune, and Elizabeth A. Holley. "Development and Testing of Octree-Based Intra-Voxel Statistical Inference to Enable Real-Time Geotechnical Monitoring of Large-Scale Underground Spaces with Mobile Laser Scanning Data." Remote Sensing 15, no. 7 (2023): 1764. http://dx.doi.org/10.3390/rs15071764.

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Convergence and rockmass failure are significant hazards to personnel and physical assets in underground tunnels, caverns, and mines. Mobile Laser Scanning Systems (MLS) can deliver large volumes of point cloud data at a high frequency and on a large scale. However, current change detection approaches do not deliver sufficient sensitivity and precision for real-time performance on large-scale datasets. We present a novel, octree-based computational framework for intra-voxel statistical inference change detection and deformation analysis. Our approach exploits high-density MLS data to test for

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Winiwarter, Lukas, Katharina Anders, and Bernhard Höfle. "M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation." ISPRS Journal of Photogrammetry and Remote Sensing 178 (August 2021): 240–58. http://dx.doi.org/10.1016/j.isprsjprs.2021.06.011.

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Yiğit, Abdurahman Yasin, and Halil İbrahim Şenol. "Surface Change and Stability Analysis in Open-Pit Mines Using UAV Photogrammetric Data and Geospatial Analysis." Drones 9, no. 7 (2025): 472. https://doi.org/10.3390/drones9070472.

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Significant morphological transformations resulting from open-pit mining activities always present major problems with site safety and slope stability. This study investigates an active marble quarry in Dinar, Türkiye by combining geospatial analysis and photogrammetry based on unmanned aerial vehicles (UAV). Acquired in 2024 and 2025, high-resolution images were combined with dense point clouds produced by Structure from Motion (SfM) methods. Iterative Closest Point (ICP) registration (RMSE = 2.09 cm) and Multiscale Model-to-Model Cloud Comparison (M3C2) analysis was used to quantify the surf

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Dinkel, A., L. Hoegner, A. Emmert, L. Raffl, and U. Stilla. "CHANGE DETECTION IN PHOTOGRAMMETRIC POINT CLOUDS FOR MONITORING OF ALPINE, GRAVITATIONAL MASS MOVEMENTS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 687–93. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-687-2020.

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Abstract. This contribution discusses the accuracy and the applicability of Photogrammetric point clouds based on dense image matching for the monitoring of gravitational mass movements caused by crevices. Four terrestrial image sequences for three different time epochs have been recorded and oriented using ground control point in a local reference frame. For the first epoch, two sequences are recorded, one in the morning and one in the afternoon to evaluate the noise level within the point clouds for a static geometry and changing light conditions. The second epoch is recorded a few months af

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Westoby, M. J., S. A. Dunning, J. Woodward, et al. "Inter-annual surface evolution of an Antarctic blue-ice moraine using multi-temporal DEMs." Earth Surface Dynamics Discussions 3, no. 4 (2015): 1317–44. http://dx.doi.org/10.5194/esurfd-3-1317-2015.

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Abstract. Multi-temporal and fine resolution topographic data products are being increasingly used to quantify surface elevation change in glacial environments. In this study, we employ 3-D digital elevation model (DEM) differencing to quantify the topographic evolution of a blue-ice moraine complex in front of Patriot Hills, Heritage Range, Antarctica. Terrestrial laser scanning (TLS) was used to acquire multiple topographic datasets of the moraine surface at the beginning and end of the austral summer season in 2012/2013 and during a resurvey field campaign in 2014. A complementary topograph

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Algadhi, Ali, Panos Psimoulis, Athina Grizi, and Luis Neves. "Assessment of the Accuracy of Terrestrial Laser Scanners in Detecting Local Surface Anomaly." Remote Sensing 16, no. 24 (2024): 4647. https://doi.org/10.3390/rs16244647.

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The surface anomaly is a common defect for structures that resist lateral stresses, such as retaining walls. The accurate detection of an anomaly using contactless techniques, such as the Terrestrial Laser Scanner (TLS), is significant for the reliable structural assessment. The influence of the scanning geometry on the accuracy of the TLS point-clouds was investigated in previous studies; however, a deeper analysis is needed to investigate their impact in the context of structural health monitoring. This paper aims to empirically assess the performance of the TLS in detecting surface anomalie

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Westoby, Matthew J., Stuart A. Dunning, John Woodward, et al. "Interannual surface evolution of an Antarctic blue-ice moraine using multi-temporal DEMs." Earth Surface Dynamics 4, no. 2 (2016): 515–29. http://dx.doi.org/10.5194/esurf-4-515-2016.

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Abstract. Multi-temporal and fine-resolution topographic data products are increasingly used to quantify surface elevation change in glacial environments. In this study, we employ 3-D digital elevation model (DEM) differencing to quantify the topographic evolution of a blue-ice moraine complex in front of Patriot Hills, Heritage Range, Antarctica. Terrestrial laser scanning (TLS) was used to acquire multiple topographic datasets of the moraine surface at the beginning and end of the austral summer season in 2012/2013 and during a resurvey field campaign in 2014. A complementary topographic dat

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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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de Gélis, Iris, Sébastien Lefèvre, and Thomas Corpetti. "Change Detection in Urban Point Clouds: An Experimental Comparison with Simulated 3D Datasets." Remote Sensing 13, no. 13 (2021): 2629. http://dx.doi.org/10.3390/rs13132629.

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In the context of rapid urbanization, monitoring the evolution of cities is crucial. To do so, 3D change detection and characterization is of capital importance since, unlike 2D images, 3D data contain vertical information of utmost importance to monitoring city evolution (that occurs along both horizontal and vertical axes). Urban 3D change detection has thus received growing attention, and various methods have been published on the topic. Nevertheless, no quantitative comparison on a public dataset has been reported yet. This study presents an experimental comparison of six methods: three tr

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Konsolaki, Aliki, Efstratios Karantanellis, Emmanuel Vassilakis, Evelina Kotsi, and Efthymios Lekkas. "Multitemporal Monitoring for Cliff Failure Potential Using Close-Range Remote Sensing Techniques at Navagio Beach, Greece." Remote Sensing 16, no. 23 (2024): 4610. https://doi.org/10.3390/rs16234610.

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This study aims to address the challenges associated with rockfall assessment and monitoring, focusing on the coastal cliffs of “Navagio Shipwreck Beach” in Zakynthos. A complete time-series analysis was conducted using state-of-the-art methodologies including a 2020 survey using unmanned aerial systems (UASs) and two subsequent surveys, incorporating terrestrial laser scanning (TLS) and UAS survey techniques in 2023. Achieving high precision and accuracy in georeferencing involving direct georeferencing, the utilization of pseudo ground control points (pGCPs), and integrating post-processing

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Nikolova, Valentina, and Asparuh Kamburov. "Geoinformation technologies in the evaluation of short-term geomorphic change: An example of Damdere debris flood area (Bulgaria)." Journal of the Geographical Institute Jovan Cvijic, SASA 72, no. 2 (2022): 133–45. http://dx.doi.org/10.2298/ijgi2202133n.

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A debris flood is a hazardous hydrogeomorphic process that can change the topographic surface in a short time due to a high streamflow and a large volume of sediment transport. Large areas of the Eastern Rhodopes Mountains (Bulgaria) are susceptible to erosion, debris flows, and debris floods due to loose earth masses, rare vegetation, and alternating dry and wet periods with extreme rainfall. The study area is located in the lower part of the river Damdere catchment and covers the area around the check dam. Studying the geomorphic changes of the debris flood areas can provide information abou

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Bian, Z., and G. Andersen. "The ground surface advantage in change detection: coherent surface structure." Journal of Vision 8, no. 6 (2010): 456. http://dx.doi.org/10.1167/8.6.456.

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Dixon, T. "SAR interferometry and surface change detection: Workshop held." Eos, Transactions American Geophysical Union 75, no. 24 (1994): 269. http://dx.doi.org/10.1029/94eo00943.

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Yang, Yihui, and Volker Schwieger. "Patch-based M3C2: Towards lower-uncertainty and higher-resolution deformation analysis of 3D point clouds." International Journal of Applied Earth Observation and Geoinformation 125 (December 2023): 103535. http://dx.doi.org/10.1016/j.jag.2023.103535.

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Wagstaff, Kiri L., Julian Panetta, Adnan Ansar, et al. "Dynamic Landmarking for Surface Feature Identification and Change Detection." ACM Transactions on Intelligent Systems and Technology 3, no. 3 (2012): 1–22. http://dx.doi.org/10.1145/2168752.2168763.

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Di, Kaichang, Yiliang Liu, Wenmin Hu, Zongyu Yue, and Zhaoqin Liu. "Mars Surface Change Detection from Multi-temporal Orbital Images." IOP Conference Series: Earth and Environmental Science 17 (March 18, 2014): 012015. http://dx.doi.org/10.1088/1755-1315/17/1/012015.

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Dang, Hongyan, Nathan P. Gillett, Andrew J. Weaver, and Francis W. Zwiers. "Climate Change detection over different land surface vegetation classes." International Journal of Climatology 27, no. 2 (2007): 211–20. http://dx.doi.org/10.1002/joc.1397.

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Baschir, L., S. Miclosa, D. Savastru, and A. A. Popescu. "E. Coli detection using surface plasmon resonance." Chalcogenide Letters 18, no. 6 (2021): 283–88. http://dx.doi.org/10.15251/cl.2021.186.283.

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The high sensitivity of chalcogenide surface plasmon resonance (SPR) structures with chalcogenide films is fructified to elaborate the salinity sensor for the seawater. A four layers configuration was taken into consideration, comprising a BK7 prism, a gold thin film, a chalcogenide As2S3 film and the ambient medium, which is the β-Galactosidase solution. The transfer matrix formalism was used in our study to determine the reflectances characterizing the plasmonic structure. The two polarization modes (TE and TM) were taken into consideration, in order to determine the best configuration that

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Wang, Ying, and Ki-Young Koo. "Vegetation Removal on 3D Point Cloud Reconstruction of Cut-Slopes Using U-Net." Applied Sciences 12, no. 1 (2021): 395. http://dx.doi.org/10.3390/app12010395.

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The 3D point cloud reconstruction from photos taken by an unmanned aerial vehicle (UAV) is a promising tool for monitoring and managing risks of cut-slopes. However, surface changes on cut-slopes are likely to be hidden by seasonal vegetation variations on the cut-slopes. This paper proposes a vegetation removal method for 3D reconstructed point clouds using (1) a 2D image segmentation deep learning model and (2) projection matrices available from photogrammetry. For a given point cloud, each 3D point of it is reprojected into the image coordinates by the projection matrices to determine if it

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Smith, M. W., and D. W. Riseborough. "Permafrost monitoring and detection of climate change." Permafrost and Periglacial Processes 7, no. 4 (1996): 301–9. http://dx.doi.org/10.1002/(sici)1099-1530(199610)7:4<301::aid-ppp231>3.0.co;2-r.

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Anders, K., L. Winiwarter, D. Schröder, and B. Höfle. "INTEGRATION OF KALMAN FILTERING OF NEAR-CONTINUOUS SURFACE CHANGE TIME SERIES INTO THE EXTRACTION OF 4D OBJECTS-BY-CHANGE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (May 30, 2022): 973–80. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-973-2022.

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Abstract. Automatic extraction of surface activity from near-continuous 3D time series is essential for geographic monitoring of natural scenes. Recent change analysis methods leverage the temporal domain to improve the detection in time and the spatial delineation of surface changes, which occur with highly variable spatial and temporal properties. 4D objects-by-change (4D-OBCs) are specifically designed to extract individual surface activities which may occur in the same area, both consecutively or simultaneously. In this paper, we investigate how the extraction of 4D-OBCs can improve by con

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Mulahusić, Admir, and Nedim Tuno. "Methods for Change Detection in Remote Sensing." Geodetski glasnik, no. 40 (March 31, 2011): 3–13. http://dx.doi.org/10.58817/2233-1786.2011.45.40.3.

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In this paper, the different ways to identify changes in remote sensing are given. Various authors have presented different methods of detecting changes on the Earth's surface. Detection of changes, among other things, are very important for tracking changes, as well as assessment and evaluation of changes and interrelations of natural and artificial objects. All this leads to better understanding of potential causes of change.

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Fyfe, John C., and Gregory M. Flato. "Enhanced Climate Change and Its Detection over the Rocky Mountains." Journal of Climate 12, no. 1 (1999): 230–43. http://dx.doi.org/10.1175/1520-0442-12.1.230.

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Abstract Results from an ensemble of climate change experiments with increasing greenhouse gas and aerosols using the Canadian Centre for Climate Modelling and Analysis Coupled Climate Model are presented with a focus on surface quantities over the Rocky Mountains. There is a marked elevation dependency of the simulated surface screen temperature increase over the Rocky Mountains in the winter and spring seasons, with more pronounced changes at higher elevations. The elevation signal is linked to a rise in the snow line in the winter and spring seasons, which amplifies the surface warming via

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Soleimani, Seyfollah, Jacob Sukumaran, Koen Douterloigne, Patrick De Baets, and Wilfried Philips. "Online Wear Detection Using High-Speed Imaging." Microscopy and Microanalysis 22, no. 4 (2016): 820–40. http://dx.doi.org/10.1017/s1431927616011387.

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AbstractIn this paper, the change detection of a fast turning specimen is studied at micro-level, whereas the images are acquired without stopping the rotation. In the beginning of the experiment, the imaging system is focused on the surface of the specimen. By starting the rotation of the specimen, the diameter of the specimen changes due to wear, which results in de-focusing of the imaging system. So the amount of blur in the images can be used as evidence of the wear phenomenon. Due to the properties of the microscope, the corners of the frames were dark and had to be cropped. So, each micr

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Akca, Devrim, Efstratios Stylianidis, Konstantinos Smagas, et al. "VOLUMETRIC FOREST CHANGE DETECTION THROUGH VHR SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1213–20. http://dx.doi.org/10.5194/isprs-archives-xli-b8-1213-2016.

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Quick and economical ways of detecting of planimetric and volumetric changes of forest areas are in high demand. A research platform, called FORSAT (A satellite processing platform for high resolution forest assessment), was developed for the extraction of 3D geometric information from VHR (very-high resolution) imagery from satellite optical sensors and automatic change detection. This 3D forest information solution was developed during a Eurostars project. FORSAT includes two main units. The first one is dedicated to the geometric and radiometric processing of satellite optical imagery and 2

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Akca, Devrim, Efstratios Stylianidis, Konstantinos Smagas, et al. "VOLUMETRIC FOREST CHANGE DETECTION THROUGH VHR SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1213–20. http://dx.doi.org/10.5194/isprsarchives-xli-b8-1213-2016.

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Quick and economical ways of detecting of planimetric and volumetric changes of forest areas are in high demand. A research platform, called FORSAT (A satellite processing platform for high resolution forest assessment), was developed for the extraction of 3D geometric information from VHR (very-high resolution) imagery from satellite optical sensors and automatic change detection. This 3D forest information solution was developed during a Eurostars project. FORSAT includes two main units. The first one is dedicated to the geometric and radiometric processing of satellite optical imagery and 2

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Shirvani, A. "Change point detection of the Persian Gulf sea surface temperature." Theoretical and Applied Climatology 127, no. 1-2 (2015): 123–27. http://dx.doi.org/10.1007/s00704-015-1625-5.

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Nguyen Hung An. "AN APPROACH FOR IMPROVING ACCURACY OF CHANGE DETECTION IN MULTI-TEMOPRAL SAR IMAGES." Journal of Military Science and Technology, no. 66A (May 6, 2020): 47–54. http://dx.doi.org/10.54939/1859-1043.j.mst.66a.2020.47-54.

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Algorithms of change detection in multi-temporal SAR images have received great interests for recent decades, and been widely applied in natural resource supervision activities. However, these algorithms still expose the limitation of detection accuracy due to inhenrent presence of speckle noise in SAR images. This paper developed a novel approach of change detection in multi-temporal SAR images of sea surface. The algorithm has increased accuracy of change detection in multi-temporal SAR images of sea surface compared with recent other methods.

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Putri, A. R. D., P. Sidiropoulos, and J. P. Muller. "ANOMALY DETECTION PERFORMANCE COMPARISON ON ANOMALY-DETECTION BASED CHANGE DETECTION ON MARTIAN IMAGE PAIRS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1437–41. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1437-2019.

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<p><strong>Abstract.</strong> The surface of Mars has been imaged in visible wavelengths for more than 40 years since the first flyby image taken by Mariner 4 in 1964. With higher resolution from orbit from MOC-NA, HRSC, CTX, THEMIS, and HiRISE, changes can now be observed on high-resolution images from different instruments, including spiders (Piqueux et al., 2003) near the south pole and Recurring Slope Lineae (McEwen et al., 2011) observable in HiRISE resolution. With the huge amount of data and the small number of datasets available on Martian changes, semi-automatic or a

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Wood, J. L., S. Harrison, L. Reinhardt, and F. E. Taylor. "Landslide databases for climate change detection and attribution." Geomorphology 355 (April 2020): 107061. http://dx.doi.org/10.1016/j.geomorph.2020.107061.

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Goldsberry, Kirk, and Sarah Battersby. "Issues of Change Detection in Animated Choropleth Maps." Cartographica: The International Journal for Geographic Information and Geovisualization 44, no. 3 (2009): 201–15. http://dx.doi.org/10.3138/carto.44.3.201.

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Cheng, Xian-Ming, Ting-Ting Wang, Wen-Bin Zhu, Bai-Di Shi, and Wei Chen. "Phase Deflectometry for Defect Detection of High Reflection Objects." Sensors 23, no. 3 (2023): 1607. http://dx.doi.org/10.3390/s23031607.

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A method for detecting the surface defects of high reflection objects using phase deflection is proposed. The abrupt change in the surface gradient at the defect leads to the change in the fringe phase. Therefore, Gray code combined with a four-step phase-shift method was employed to obtain the surface gradients to characterize the defects. Then, through the double surface illumination model, the relationship between illumination intensity and phase was established. The causes of periodic error interference were analyzed, and the method of adjusting the fringe width to eliminate it was propose

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Zhu, L., C. Li, L. Liu, J. Shen, L. Yang, and Z. Liu. "A SPEED-UP GEOMETRIC CHANGE DETECTION ALGORITHM FOR VECTOR SURFACE FEATURE SET." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4 (September 19, 2018): 263–66. http://dx.doi.org/10.5194/isprs-annals-iv-4-263-2018.

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<p><strong>Abstract.</strong> At present, most of the researches on geometric change detection of vector data, they store the change detection results in the database, so they pay more attention to the accuracy of results, but not to the speed of processing. Nowadays, many applications require real-time change detection on vector data and rapid presentation of the result. Although the existing algorithms use spatial index technology to improve the processing speed, the processing time is still beyond the range that people can bear. In order to reduce processing time, this pap

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Dahiya, Neelam, Sartajvir Singh, Sheifali Gupta, et al. "Detection of Multitemporal Changes with Artificial Neural Network-Based Change Detection Algorithm Using Hyperspectral Dataset." Remote Sensing 15, no. 5 (2023): 1326. http://dx.doi.org/10.3390/rs15051326.

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Monitoring the Earth’s surface and objects is important for many applications, such as managing natural resources, crop yield predictions, and natural hazard analysis. Remote sensing is one of the most efficient and cost-effective solutions for analyzing land-use and land-cover (LULC) changes over the Earth’s surface through advanced computer algorithms, such as classification and change detection. In the past literature, various developments were made to change detection algorithms to detect LULC multitemporal changes using optical or microwave imagery. The optical-based hyperspectral highlig

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Altuntas, C. "URBAN AREA CHANGE DETECTION USING TIME SERIES AERIAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 29–34. http://dx.doi.org/10.5194/isprs-archives-xlii-2-29-2018.

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The urban area should be imaged in three-dimensional (3D) for planning, inspection and management. In addition fast urbanisation requires detection the urban area changes which have been occurred with new buildings, additional floor to current buildings and excavations. 3D surface model of urban area enables to extracting high information from them. On the other hand high density spatial data should be measured to creating 3D digital terrain surface model. The dense image matching method makes 3D measurement with high density from the images in a short time. The aim of this study is detection

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Shimizu, Yuki, Yuki Matsuno, Yuan-Liu Chen, and Wei Gao. "Design and Testing of a Micro Thermal Sensor for Non-Contact Surface Defect Detection." International Journal of Automation Technology 11, no. 5 (2017): 781–86. http://dx.doi.org/10.20965/ijat.2017.p0781.

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This paper presents an experimental study on a new concept of a surface defect detection method, in which surface defects will be detected by monitoring a change in heat flow between a micro thermal sensor and a smoothly-finished measuring surface such as magnetic disks, sapphire substrates and so on. In the proposed method, the micro thermal sensor is designed to detect surface defects without any contacts in between them. Since the change in heat flow across the gap is utilized, the method is expected to find out both the convex and concave defects. Searching for the possibility of the non-c

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Saponaro, M., A. Capolupo, G. Caporusso, and E. Tarantino. "INFLUENCE OF CO-ALIGNMENT PROCEDURES ON THE CO-REGISTRATION ACCURACY OF MULTI-EPOCH SFM POINTS CLOUDS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 231–38. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-231-2021.

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Abstract. The well-established spread of Remotely Piloted Aircraft Systems (RPAS) as high-performance devices in the acquisition of huge datasets has found a fertile field in the geomorphological change detection in coastal areas. The ability to retrieve image datasets with multi-epoch frequency makes them effectively incisive for planning ongoing monitoring. Considering the wide accessibility to multiple Structure-from-Motion (SfM)-3D point clouds, it follows the need for their proper management to identify a profitable co-registration approach valid for a proper comparison among them. In mos

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Zhao, Xueqiang, Zheng Wu, Yangbo Chen, Wei Zhou, and Mingan Wei. "Fine-Grained High-Resolution Remote Sensing Image Change Detection by SAM-UNet Change Detection Model." Remote Sensing 16, no. 19 (2024): 3620. http://dx.doi.org/10.3390/rs16193620.

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Remote sensing image change detection is crucial for urban planning, environmental monitoring, and disaster assessment, as it identifies temporal variations of specific targets, such as surface buildings, by analyzing differences between images from different time periods. Current research faces challenges, including the accurate extraction of change features and the handling of complex and varied image contexts. To address these issues, this study proposes an innovative model named the Segment Anything Model-UNet Change Detection Model (SCDM), which incorporates the proposed center expansion

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