Relevant bibliographies by topics / Terrestrial laser scanning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Terrestrial laser scanning'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Terrestrial laser scanning.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Terrestrial laser scanning"

1

Hong. "3D Indoor Modeling Based on Terrestrial Laser Scanning." Journal of the Korean Society of Civil Engineers 35, no. 2 (2015): 525. http://dx.doi.org/10.12652/ksce.2015.35.2.0525.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

KOMATSUZAKI, Hiromiti, Mitiaki SADASUE, and Akira OMORI. "Terrestrial laser Scanning Survey." Journal of the Japan society of photogrammetry and remote sensing 52, no. 6 (2013): 301–3. http://dx.doi.org/10.4287/jsprs.52.301.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Van Genderen, J. L. "Airborne and terrestrial laser scanning." International Journal of Digital Earth 4, no. 2 (March 2011): 183–84. http://dx.doi.org/10.1080/17538947.2011.553487.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Luhmann, T., M. Chizhova, D. Gorkovchuk, D. Popovas, J. Gorkovchuk, and M. Hess. "DEVELOPMENT OF TERRESTRIAL LASER SCANNING SIMULATOR." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-2/W1-2022 (February 25, 2022): 329–34. http://dx.doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-329-2022.

Full text
Abstract:
Abstract. Within the project VRscan3D, funded by DAAD, a terrestrial laser scanner simulator has been developed as educational tool for learning and teaching laser scanning processes. The main goal of the VirScan3D project is to cover engineering digitisation and will be solved through the development of a virtual system that allows users to create realistic data in the absence of a real measuring device in a modelled real-life environment (digital twin). The implementation of the virtual laser scanner is realised within a game engine, which allows for fast and easy 3D visualisation and navigation. Real-life buildings and urban surroundings can be digitised, modelled and integrated into the simulator, thus creating a digital copy of a real-world environment. This article describes the technical realization of the simulator and its evaluation as well as usability testing results conducted by independent users from university courses.
APA, Harvard, Vancouver, ISO, and other styles
5

Gabriela, Kuczyńska, and Stawska Magdalena. "Modern applications of terrestrial laser scanning." Mining informational and analytical bulletin, no. 1 (2021): 160–69. http://dx.doi.org/10.25018/0236-1493-2021-1-0-160-169.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ge, X., and T. Wunderlich. "Target identification in terrestrial laser scanning." Survey Review 47, no. 341 (May 2, 2014): 129–40. http://dx.doi.org/10.1179/1752270614y.0000000097.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Karagianni, Aikaterini. "Terrestrial Laser Scanning in Building Documentation." Civil Engineering and Architecture 5, no. 6 (December 2017): 215–21. http://dx.doi.org/10.13189/cea.2017.050603.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Liang, Xinlian, Ville Kankare, Juha Hyyppä, Yunsheng Wang, Antero Kukko, Henrik Haggrén, Xiaowei Yu, et al. "Terrestrial laser scanning in forest inventories." ISPRS Journal of Photogrammetry and Remote Sensing 115 (May 2016): 63–77. http://dx.doi.org/10.1016/j.isprsjprs.2016.01.006.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Richardson, Jeffrey, L. Moskal, and Jonathan Bakker. "Terrestrial Laser Scanning for Vegetation Sampling." Sensors 14, no. 11 (October 28, 2014): 20304–19. http://dx.doi.org/10.3390/s141120304.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Damięcka-Suchocka, Marzena, and Jacek Katzer. "Terrestrial Laser Scanning of Lunar Soil Simulants." Materials 15, no. 24 (December 8, 2022): 8773. http://dx.doi.org/10.3390/ma15248773.

Full text
Abstract:
In the near future, permanent human settlements on the Moon will become increasingly realistic. It is very likely that the Moon will serve as a transit point for deep space exploration (e.g., to Mars). The key to human presence on the Moon is the ability to erect the necessary structures and habitats using locally available materials, such as lunar soil. This study explores the feasibility of using terrestrial laser scanning technology as a measurement method for civil engineering applications on the Moon. Three lunar soil simulants representing highland regions (LHS-1, AGK-2010, CHENOBI) and three lunar soil simulants representing mare regions (LMS-1, JSC-1A, OPRL2N) were used in this study. Measurements were performed using three terrestrial laser scanners (Z+F IMAGER 5016, FARO Focus3D, and Leica ScanStation C10). The research programme focused on the radiometric analysis of datasets from the measurement of lunar soil simulants. The advantages and limitations of terrestrial laser scanning technology for possible lunar applications are discussed. Modifications of terrestrial laser scanners that are necessary to enable their use on the Moon are suggested.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Terrestrial laser scanning"

1

Hetherington, David. "Terrestrial laser scanning of the river environment." Thesis, University of Salford, 2009. http://usir.salford.ac.uk/26714/.

Full text
Abstract:
This thesis describes the results of three field studies concerned with the utilisation of terrestrial laser scanning in the river environment, over different spatial scales. Existing research and technical literature has also been reviewed relating to scale, form and process in the river environment, conventional measurement techniques and the general utility and testing of terrestrial laser scanning technology. In physical geography and geomorphology, scales of interest in the river environment can range from very small scales such as an individual grain up to large scales that cover entire floodplains or catchments. Improved measurement and spatial representation of the river environment over all these scales will reduce error and improve confidence in research into river form and process. Terrestrial Laser Scanning (TLS) - sometimes referred to as Terrestrial LiDAR (Light Detection and Ranging) - is an exciting and relatively new measurement technique that is based upon the time-of-flight principles of laser pulses from a static origin. The term "scanning" relates to the way that the laser pulses are systematically deployed and received in an automated fashion over a swath by the main measurement unit. These data are acquired from a terrestrial perspective, which gives the technique an advantage over airborne measurement and terrestrial contact measurement methods. This research's aim is to evaluate the performance of TLS as a tool for measuring and representing the river environment, whilst focusing on three distinct scales of river features - the reach scale, the floodplain/braid plain scale and the grain scale. Overall, TLS has proved itself to be an extremely useful tool for measuring and representing (spatially and temporally) the river environment, whilst focusing on various scales and features. This is especially the case when investigating rivers at the reach and plain scales. If used correctly, it can undoubtedly provide scientists and engineers with the data that they need to increase their knowledge of river environment form and process. The findings of this thesis have many broader implications relating to how TLS should be used and how it fits into the suite of measurement tools that we have at our disposal.
APA, Harvard, Vancouver, ISO, and other styles
2

Scharf, Alexander. "Terrestrial Laser Scanning for Wooden Facade-system Inspection." Thesis, Luleå tekniska universitet, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-77159.

Full text
Abstract:
The objective of this study was to evaluate the feasibility of measuring movement, deformation and displacement in wooden façade-systems by terrestrial laser scanning. An overview of different surveying techniques and methods has been created. Point cloud structure and processing was explained in detail as it is the foundation for understanding the advantages and disadvantages of laser scanning.    The boundaries of monitoring façades with simple and complex façade structures were tested with the phase-based laser scanner FARO Focus 3DS. In-field measurements of existing facades were done to show the capabilities of extracting defect features such as cracks by laser scanning. The high noise in the data caused by the limited precision of 3D laser scanners is problematic. Details on a scale of several mm are hidden by the data noise. Methods to reduce the noise during point cloud processing have proven to be very data-specific. The uneven point cloud structure of a façade scan made it therefore difficult to find a method working for the whole scans. Dividing the point cloud data automatically into different façade parts by a process called segmentation could make it possible. However, no suitable segmentation algorithm was found and developing an own algorithm would have exceeded the scope of this thesis. Therefore, the goal of automatic point cloud processing was not fulfilled and neglected in the further analyses of outdoor facades and laboratory experiments. The experimental scans showed that several information could be extracted out of the scans. The accuracy of measured board and gap dimensions were, however, highly depended on the point cloud cleaning steps but provided information which could be used for tracking development of a facade’s features. Extensive calibration might improve the accuracy of the measurements. Deviation of façade structures from flat planes were clearly visible when using colorization of point clouds and might be the main benefit of measuring spatial information of facades by non-contact methods. The determination of façade displacement was done under laboratory conditions. A façade panel was displaced manually, and displacement was calculated with different algorithms. The algorithm determining distance to the closest point in a pair of point clouds provided the best results, while being the simplest one in terms of computational complexity. Out-of-plane displacement was the most suitable to detect with this method. Displacement sideways or upwards required more advanced point cloud processing and manual interpretation by the software operator. Based on the findings during the study it can be concluded that laser scanning is not the correct methods for structural health monitoring of facades when the tracking of small deformations, especially deformations below 5 mm and defects like cracks are the main goal. Displacements, defects and deformations of larger scale can be detected but are tied to a large amount of point cloud processing. It is not clear if the equipment costs, surveying time and the problems caused by high variability of scans results based on façade color, shape and texture are in a positive relation to the benefits obtained from using laser scanning over manually surveying.
APA, Harvard, Vancouver, ISO, and other styles
3

Evans, Hywel F. J. "Construction material classification using multi-spectral terrestrial laser scanning." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/33511/.

Full text
Abstract:
This research addresses the problem of populating Building Information Model databases with information on building construction materials using a new classification method which uses multi-spectral laser scanning intensity and geometry data. Research in multi-spectral laser scanning will open up a new era in survey and mapping; the 3D surface spectral response sensitive to the transmitted wavelengths could be derived day or night in complex environments using a single sensor. At the start of this research a commercial multi-spectral sensor did not exist, but a few prototype level instruments had been developed; this work wished to get ahead of the hardware development and assess capability and develop applications from multi-spectral laser scanning. These applications could include high density topographic surveying, seamless shallow water bathymetry, environmental modelling, urban surface mapping, or vegetative classification. This was achieved by using from multiple terrestrial laser scanners, each with a different laser wavelength. The fused data provided a spectral and geometric signature of each material which was subsequently classified using a supervised neural network. The multi-spectral data was created by precise co-positioning of the scanner optical centres and sub-centimetre registration using common sphere targets. A common point cloud, with reflected laser intensity values for each laser wavelength, was created from the data. The three intensity values for each point were then used as input to the classifier; ratios of the actual intensities were used to reduce the effect of range and incidence angle differences. Analysis of five classes of data showed that they were not linearly separable; an artificial neural network classifier was the chosen classifier has been shown to separate this type of data. The classifier training dataset was manually created from a small section of the original scan; five classes of building materials were selected for training. The performance of the classification was tested against a reference point cloud of the complete scene. The classifier was able to distinguish the chosen test classes with a mean rate of 84.9% and maximum for individual classes of 100%. The classes with the highest classification rate were brick, gravel and pavement. The success rate was found to be affected by several factors, among these the most significant, inter-scan registration, limitation on available wavelengths and the number of classes of material chosen. Additionally, a method which included a measure of texture through variations in intensity was tested successfully. This research presents a new method of classifying materials using multi-spectral laser scanning, a novel method for registering dissimilar point clouds from different scanners and an insight into the part played by laser speckle interpretation of reflected intensity.
APA, Harvard, Vancouver, ISO, and other styles
4

Resop, Jonathan Patrick. "Terrestrial Laser Scanning for Quantifying Uncertainty in Fluvial Applications." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/38694.

Full text
Abstract:
Stream morphology is an important aspect of many hydrological and ecological applications such as stream restoration design (SRD) and estimating sediment loads for total maximum daily load (TMDL) development. Surveying of stream morphology traditionally involves point measurement tools, such as total stations, or remote sensing technologies, such as aerial laser scanning (ALS), which have limitations in spatial resolution. Terrestrial laser scanning (TLS) can potentially offer improvements over other surveying methods by providing greater resolution and accuracy. The first two objectives were to quantify the measurement and interpolation errors from total station surveying using TLS as a reference dataset for two fluvial applications: 1) measuring streambank retreat (SBR) for sediment load calculations; and 2) measuring topography for habitat complexity quantification. The third objective was to apply knowledge uncertainties and stochastic variability to the application of SRD. A streambank on Stroubles Creek in Blacksburg, VA was surveyed six times over two years to measure SBR. Both total station surveying and erosion pins overestimated total volumetric retreat compared to TLS by 32% and 17%, respectively. The error in SBR using traditional methods would be significant when extrapolating to reach-scale estimates of sediment load. TLS allowed for collecting topographic data over the entire streambank surface and provides small-scale measurements on the spatial variability of SBR. The topography of a reach on the Staunton River in Shenandoah National Park, VA was measured to quantify habitat complexity. Total station surveying underestimated the volume of in-stream rocks by 55% compared to TLS. An algorithm was developed for delineating in-stream rocks from the TLS dataset. Complexity metrics, such as percent in-stream rock cover and cross-sectional heterogeneity, were derived and compared between both methods. TLS quantified habitat complexity in an automated, unbiased manner at a high spatial resolution. Finally, a two-phase uncertainty analysis was performed with Monte Carlo Simulation (MCS) on a two-stage channel SRD for Stroubles Creek. Both knowledge errors (Manning's n and Shield's number) and natural stochasticity (bankfull discharge and grain size) were incorporated into the analysis. The uncertainty design solutions for possible channel dimensions varied over a range of one to four times the magnitude of the deterministic solution. The uncertainty inherent in SRD should be quantified and used to provide a range of design options and to quantify the level of risk in selected design outcomes.
Ph. D.
APA, Harvard, Vancouver, ISO, and other styles
5

Reshetyuk, Yuriy. "Self-calibration and direct georeferencing in terrestrial laser scanning." Doctoral thesis, Stockholm : Arkitektur och samhällsbyggnad, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9879.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Olsen, Michael James. "Methodology for assessing coastal change using terrestrial laser scanning." Diss., [La Jolla] : University of California, San Diego, 2009. http://nsgl.gso.uri.edu/casg/casgy09005.pdf.

Full text
Abstract:
Thesis (Ph. D.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed July 14, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 258-267).
APA, Harvard, Vancouver, ISO, and other styles
7

Ososinski, Marek. "Environment perception in the context of 3D terrestrial laser scanning." Thesis, Aberystwyth University, 2016. http://hdl.handle.net/2160/8de63213-6dba-4062-8aca-be0335537b67.

Full text
Abstract:
Terrestrial laser scanning has become a popular way of digitising buildings and complex environments. Laser scanning was adopted as the means of capturing 3D data in many elds, including architecture, engineering and environmental survey. It was only a matter of time for the Heritage sector to start using the technology. This thesis describes the scienti c contributions from the collaboration project that explored the viability of automating the laser data acquisition process. The project concentrated on the reduction of the skill set required by the operator of the laser scanner as well as the improvement of the usability of large datasets. The contributions involved the development of a new data representation method, a new visibility estimation metric and an improved volumetric decimation algorithm.
APA, Harvard, Vancouver, ISO, and other styles
8

Campbell, Lorraine. "Assessing the utility of Airborne Laser Scanning for Terrestrial Ecosystem Mapping." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62453.

Full text
Abstract:
Observing landscape patterns at various temporal and spatial scales is central to mapping ecosystems. Traditionally, ecosystem mapping uses a combination of fieldwork and aerial photography interpretation. These methods, however, are time-consuming, prone to subjectivity, and difficult to update. Airborne Laser Scanning (ALS) is an advanced remote sensing technology that has increased in application in the past decade and has the potential to significantly increase and refine information content of ecosystem mapping, especially in the vertical dimension. ALS technology provides detailed information on topography and vegetation structure and has considerable potential to be used for terrestrial ecosystem classification and mapping. In this thesis, the potential to use ALS data to advance ecosystem mapping is examined. The current state of the science for using ALS data to classify and map key ecosystem attributes within an existing ecosystem mapping scheme is discussed by focusing on British Columbia’s Terrestrial Ecosystem Mapping (TEM) and its associated Predictive Ecosystem Mapping (PEM). Based on a detailed literature review, a site-specific case study was also developed with the goal of mapping TEM polygons for a forested landscape on Vancouver Island, British Columbia. To do so an object-based image analysis approach was used. The analysis examined which were the best suite of ALS-based terrain and vegetation metrics to define and distinguish individual site series. It established a workflow for the classification of site series within the study site and examined the capacity to map site series based on ALS derived values. Best segmentation parameters were first established and then the study area was classified for slope position-wetness and finally into the specific site series. In the classification of site series two approaches were used. One approach used only terrain metrics and the other incorporated vegetation metrics. Overall accuracies were 59% and 56% respectively. While this workflow requires refinement, it shows potential for improved accuracies by applying suggestions discussed. The thesis concludes with a discussion summarizing the findings of this research and highlighting future refinement to the methods applied in the case study, while also providing recommendations for the current application of ALS technology to TEM.
Forestry, Faculty of
Graduate
APA, Harvard, Vancouver, ISO, and other styles
9

Cardozo, Francisco Alberto Ramirez. "Terrestrial laser scanning measurements to characterise temporal changes in forest canopies." Thesis, University of Salford, 2011. http://usir.salford.ac.uk/26605/.

Full text
Abstract:
Light detection and ranging (lidar) systems are active sensors capable of creating a permanent three-dimensional (3D) record of forest canopy structure. This 3D characterisation can provide increased accuracy for aboveground biomass estimates in high-biomass ecosystems, where passive optical sensors only provide a two-dimensional (2D) perspective. The aim of this study was to test a quantitative, accurate, and repeatable method to obtain estimates of canopy biophysical properties and monitor seasonal variations in forests by using multi-temporal terrestrial laser scanner (TLS) data. This research is one of the first detailed multi-temporal terrestrial lidar studies undertaken anywhere in the world. The study site chosen for this research was Delamere Forest, located in Cheshire, Northwest England. TLS data on vegetation structure were acquired for seven sampling plots, comprising two broad-leaf and five conifer stands, between March 2008 and April 2009. Canopy directional gap fractions were derived from the TLS datasets collected and compared with estimates derived from coincident hemispherical photographs. The comparison showed that TLS gap fractions estimates were consistently lower than those estimated from hemispherical photographs. To examine this apparent difference further the potential information available from the intensity values recorded by TLS were investigated. The use of this information in the computation of gap fractions led to a better agreement between estimates derived from both sources, as well as a better understanding of how intensity values are activated within forest canopies. Estimates of other biophysical properties were also computed from the TLS data, including leaf area index, average leaf angle distributions, and clumping index. The analysis of these estimates highlighted the repeatability and consistency of the TLS measurements in comparison with corresponding results derived from the hemispherical photographs. Analysis of the TLS datasets was conducted in order to improve the understanding of the interaction between lasers and vegetation canopies. The novelty of this research is in applying a ground-based lidar sensor to characterise the structure of a range of tree canopies using intensity corrected data, and assessing the utility of estimates of biophysical properties for monitoring temporal variations in forest canopies.
APA, Harvard, Vancouver, ISO, and other styles
10

Barber, David Matthew. "Terrestrial laser scanning for the metric survey of cultural heritage structures." Thesis, University of Newcastle Upon Tyne, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270827.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Terrestrial laser scanning"

1

Slob, Siefko. Automated rock mass characterisation using 3-D terrestrial laser scanning. [Enschede, Netherlands]: ITC, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Airborne And Terrestrial Laser Scanning. CRC Press, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Airborne and Terrestrial Laser Scanning. Whittles Publishing Ltd, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Airborne And Terrestrial Laser Scanning. Whittles, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Terrestrial laser scanning"

1

Lemmens, Mathias. "Terrestrial Laser Scanning." In Geo-information, 101–21. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1667-4_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Olsen, Michael J. "Terrestrial Laser Scanning." In Surveying and Geomatics Engineering, 233–302. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784416037.ch8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Petrie, Gordon, and Charles K. Toth. "Terrestrial Laser Scanners." In Topographic Laser Ranging and Scanning, 29–88. Second edition. | Boca Raton : Taylor & Francis, CRC Press, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9781315154381-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kopáčik, Alojz, Ján Erdélyi, and Peter Kyrinovič. "Terrestrial Laser Scanning Systems." In Engineering Surveys for Industry, 83–120. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48309-8_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Crosilla, Fabio, Alberto Beinat, Andrea Fusiello, Eleonora Maset, and Domenico Visintini. "Basics of Terrestrial Laser Scanning." In Advanced Procrustes Analysis Models in Photogrammetric Computer Vision, 87–97. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11760-3_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Olsen, Michael J., Jaehoon Jung, Erzhuo Che, and Chris Parrish. "Mobile Terrestrial Laser Scanning and Mapping." In Surveying and Geomatics Engineering, 303–40. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784416037.ch9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Pu, Shi. "Automatic building modeling from terrestrial laser scanning." In Lecture Notes in Geoinformation and Cartography, 147–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-72135-2_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Lercari, Nicola. "Terrestrial Laser Scanning in the Age of Sensing." In Digital Methods and Remote Sensing in Archaeology, 3–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40658-9_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Vasilakos, Christos, Stamatis Chatzistamatis, Olga Roussou, and Nikolaos Soulakellis. "Comparison of Terrestrial Photogrammetry and Terrestrial Laser Scanning for Earthquake Response Management." In Intelligent Systems for Crisis Management, 33–57. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05330-7_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Barbarella, Maurizio, Margherita Fiani, and Andrea Lugli. "Multi-temporal Terrestrial Laser Scanning Survey of a Landslide." In Modern Technologies for Landslide Monitoring and Prediction, 89–121. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45931-7_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Terrestrial laser scanning"

1

Negrila, Aurel. "MODELING BRIDGES USING TERRESTRIAL LASER SCANNING." In 18th International Multidisciplinary Scientific GeoConference SGEM2018. Stef92 Technology, 2018. http://dx.doi.org/10.5593/sgem2018/2.2/s09.111.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

HERBAN, Ioan�Sorin. "TERRESTRIAL�LASER�SCANNING�USED�FOR�3D�MODELING." In SGEM2012 12th International Multidisciplinary Scientific GeoConference and EXPO. Stef92 Technology, 2012. http://dx.doi.org/10.5593/sgem2012/s07.v2017.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Chen, Walter W., Che-Hao Chang, Ming-Ko Chung, Pei-Shan Huang, Wan-Ting Chung, Ya-Lan Chung, and Yi-Wen Chen. "Landslide site reconstruction with terrestrial laser scanning." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567591.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Mumtaz, S. A. "Integrating terrestrial laser scanning models into 3d Geodatabase." In 2008 2nd International Conference on Advances in Space Technologies (ICAST). IEEE, 2008. http://dx.doi.org/10.1109/icast.2008.4747699.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Gridan, Maria-Roberta. "CULTURAL HERITAGE CONSERVING USING TERRESTRIAL LASER SCANNING TECHNOLOGY." In 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgem2014/b22/s9.019.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kaasalainen, Sanna, Tuomo Malkamaki, Julian Ilinea, and Laura Ruotsalainen. "Multispectral Terrestrial Laser Scanning: New Developments and Applications." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8517590.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wan Aziz, W. A., M. Z. Syahmi, A. Anuar, and Nizam T. Khairul. "Terrain slope analyses between terrestrial laser scanner and airborne laser scanning." In 2012 IEEE Control and System Graduate Research Colloquium (ICSGRC). IEEE, 2012. http://dx.doi.org/10.1109/icsgrc.2012.6287169.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bala, Alina Corina. "USING�TERRESTRIAL�LASER�SCANNING�TECHNOLOGIES�FOR�HIGH�CONSTRUCTION�MONITORING." In SGEM2012 12th International Multidisciplinary Scientific GeoConference and EXPO. Stef92 Technology, 2012. http://dx.doi.org/10.5593/sgem2012/s07.v2021.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Adams, M. S., A. Bauer, and G. Paar. "Monitoring snow avalanche terrain with Automated Terrestrial Laser Scanning." In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947364.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Calders, K., A. Burt, N. Origo, M. Disney, J. Nightingale, P. Raumonen, and P. Lewis. "Large-area virtual forests from terrestrial laser scanning data." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7729452.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Terrestrial laser scanning"

1

Ford, David, Thomas Housel, and Johnathan Mun. Ship Maintenance Processes with Collaborative Product Lifecycle Management and 3D Terrestrial Laser Scanning Tools: Reducing Costs and Increasing Productivity. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada543988.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ford, David N., Thomas J. Housel, and Johnathan C. Mun. Ship Maintenance Processes with Collaborative Product Lifecycle Management and 3D Terrestrial Laser Scanning Tools: Reducing Costs and Increasing Productivity. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada555680.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

McCarley, Justin. Using Repeat Terrestrial Laser Scanning and Photogrammetry to Monitor Reactivation of the Silt Creek Landslide in the Western Cascade Mountains, Linn County, Oregon. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6230.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.

Full text
Abstract:
Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.
APA, Harvard, Vancouver, ISO, and other styles
5

Coastal Lidar And Radar Imaging System (CLARIS) mobile terrestrial lidar survey along the Outer Banks, North Carolina in Currituck and Dare counties. Coastal and Hydraulics Laboratory (U.S.), January 2020. http://dx.doi.org/10.21079/11681/39419.

Full text
Abstract:
The Coastal Observation and Analysis Branch (COAB) located at the Field Research Facility (FRF) conducts quarterly surveys and post-storm surveys along up to 60 kilometers of coastline within the vicinity of the FRF to assess, evaluate, and provide updated observations of the morphology of the foreshore and dune system. The surveys are conducted using a mobile terrestrial LiDAR scanner coupled with an Inertial Navigation System (INS). Traditionally the surveys coincide with a low tide, exposing the widest swath of visible sediment to the scanner as well as enough wind-sea swell or texture to induce wave breaking upon the interior sandbars. The wave field is measured with X-Band radar which records a spatial time series of wave direction and speed. Data for the survey region was collected using the VZ-2000's mobile, 3D scanning mode where the scanner continuously rotates the line scan 360 degrees as the vehicle progresses forward. Elevation measurements are acquired on all sides of the vehicle except for the topography directly underneath the vehicle. As the vehicle moves forward, the next rotation will capture the previous position's occluded data area. Laser data is acquired in mobile 3D radar mode with a pulse repetition rate of 300kHz, theta resolution of 0.19 degrees and phi resolution of 0.625 degrees. Horizontal Datum NAD83(2011), Projection North Carolina State Plane (3200) meters; Vertical Datum NAVD88, meters with geoid09 applied.
APA, Harvard, Vancouver, ISO, and other styles
6

Coastal Lidar And Radar Imaging System (CLARIS) mobile terrestrial lidar survey along the Outer Banks, North Carolina in Currituck and Dare counties. Coastal and Hydraulics Laboratory (U.S.), January 2020. http://dx.doi.org/10.21079/11681/39419.

Full text
Abstract:
The Coastal Observation and Analysis Branch (COAB) located at the Field Research Facility (FRF) conducts quarterly surveys and post-storm surveys along up to 60 kilometers of coastline within the vicinity of the FRF to assess, evaluate, and provide updated observations of the morphology of the foreshore and dune system. The surveys are conducted using a mobile terrestrial LiDAR scanner coupled with an Inertial Navigation System (INS). Traditionally the surveys coincide with a low tide, exposing the widest swath of visible sediment to the scanner as well as enough wind-sea swell or texture to induce wave breaking upon the interior sandbars. The wave field is measured with X-Band radar which records a spatial time series of wave direction and speed. Data for the survey region was collected using the VZ-2000's mobile, 3D scanning mode where the scanner continuously rotates the line scan 360 degrees as the vehicle progresses forward. Elevation measurements are acquired on all sides of the vehicle except for the topography directly underneath the vehicle. As the vehicle moves forward, the next rotation will capture the previous position's occluded data area. Laser data is acquired in mobile 3D radar mode with a pulse repetition rate of 300kHz, theta resolution of 0.19 degrees and phi resolution of 0.625 degrees. Horizontal Datum NAD83(2011), Projection North Carolina State Plane (3200) meters; Vertical Datum NAVD88, meters with geoid09 applied.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Terrestrial laser scanning' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography