New Tools or Trends for Large-Scale Mapping and 3D Modelling

Topographic surveys are used to capture the shape of the world and represent it as a topographic map or three-dimensional (3D) model. Large-scale topographic maps are essential for (a) the design and construction of infrastructure in an urban environment, (b) 3D/city modeling, and (c) general-purpos...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2024
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Online Access:ONIX_20240704_9783725806515_168
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collection Directory of Open Access Books
description Topographic surveys are used to capture the shape of the world and represent it as a topographic map or three-dimensional (3D) model. Large-scale topographic maps are essential for (a) the design and construction of infrastructure in an urban environment, (b) 3D/city modeling, and (c) general-purpose mapping. Topographic surveys are normally carried out with traditional surveying, photogrammetry, LiDAR/laser scanning, unmanned aerial vehicles (UAVs), and satellite remote sensing. Remote sensing tools have shown their efficacy in exploring natural, human, and social systems at unprecedented resolutions. These tools have been used for acquiring the spatial data needed for mapping since the early 1970s, because they are rapid, cost-effective, and reliable. Now, the demand for geospatial data has increased exponentially, coupled with the need for high-quality large-scale maps and 3D models. The recent developments in remote sensing cameras have opened the door for the high-quality and large-scale mapping of our environment, 3D/city modeling, and many useful applications, such as infrastructure monitoring, crack measurement, etc. These include depth (stereo) cameras, fine-resolution satellite sensors, and state-of-the-art cameras for terrestrial photogrammetric applications.
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institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1393722024-07-04T09:47:30Z New Tools or Trends for Large-Scale Mapping and 3D Modelling Ali, Tarig García, Jorge Delgado Kurdi, Fayez Tarsha LiDAR classification modelling filtering segmentation unmanned aerial vehicle (UAV) drone regulations restrictions privacy safety point clouds databases NoSQL Machine Learning (ML) point cloud 3D modeling buildings cross-section rotating surface terrestrial lidar TLS forest structure depth openness viewshed Research Natural Areas forest vegetation assessment LIDAR GPS surveying RMSE accuracy confidence calculation depth estimation multiview stereo plane supplementation weakly textured regions mixed pixels spectral unmixing spatial validation LoD2 LoD3 3D buildings automatic building modeling thema EDItEUR::R Earth Sciences, Geography, Environment, Planning thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences Topographic surveys are used to capture the shape of the world and represent it as a topographic map or three-dimensional (3D) model. Large-scale topographic maps are essential for (a) the design and construction of infrastructure in an urban environment, (b) 3D/city modeling, and (c) general-purpose mapping. Topographic surveys are normally carried out with traditional surveying, photogrammetry, LiDAR/laser scanning, unmanned aerial vehicles (UAVs), and satellite remote sensing. Remote sensing tools have shown their efficacy in exploring natural, human, and social systems at unprecedented resolutions. These tools have been used for acquiring the spatial data needed for mapping since the early 1970s, because they are rapid, cost-effective, and reliable. Now, the demand for geospatial data has increased exponentially, coupled with the need for high-quality large-scale maps and 3D models. The recent developments in remote sensing cameras have opened the door for the high-quality and large-scale mapping of our environment, 3D/city modeling, and many useful applications, such as infrastructure monitoring, crack measurement, etc. These include depth (stereo) cameras, fine-resolution satellite sensors, and state-of-the-art cameras for terrestrial photogrammetric applications. 2024-07-04T09:47:27Z 2024-07-04T09:47:27Z 2024 book ONIX_20240704_9783725806515_168 9783725806515 9783725806522 https://directory.doabooks.org/handle/20.500.12854/139372 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9370 https://mdpi.com/books/pdfview/book/9370 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0652-2 10.3390/books978-3-7258-0652-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725806515 9783725806522 260 open access
spellingShingle LiDAR
classification
modelling
filtering
segmentation
unmanned aerial vehicle (UAV)
drone
regulations
restrictions
privacy
safety
point clouds
databases
NoSQL
Machine Learning (ML)
point cloud
3D modeling
buildings
cross-section
rotating surface
terrestrial lidar
TLS
forest structure
depth
openness
viewshed
Research Natural Areas
forest vegetation
assessment
LIDAR
GPS
surveying
RMSE
accuracy
confidence calculation
depth estimation
multiview stereo
plane supplementation
weakly textured regions
mixed pixels
spectral unmixing
spatial validation
LoD2
LoD3
3D buildings
automatic building modeling
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences
New Tools or Trends for Large-Scale Mapping and 3D Modelling
title New Tools or Trends for Large-Scale Mapping and 3D Modelling
title_full New Tools or Trends for Large-Scale Mapping and 3D Modelling
title_fullStr New Tools or Trends for Large-Scale Mapping and 3D Modelling
title_full_unstemmed New Tools or Trends for Large-Scale Mapping and 3D Modelling
title_short New Tools or Trends for Large-Scale Mapping and 3D Modelling
title_sort new tools or trends for large scale mapping and 3d modelling
topic LiDAR
classification
modelling
filtering
segmentation
unmanned aerial vehicle (UAV)
drone
regulations
restrictions
privacy
safety
point clouds
databases
NoSQL
Machine Learning (ML)
point cloud
3D modeling
buildings
cross-section
rotating surface
terrestrial lidar
TLS
forest structure
depth
openness
viewshed
Research Natural Areas
forest vegetation
assessment
LIDAR
GPS
surveying
RMSE
accuracy
confidence calculation
depth estimation
multiview stereo
plane supplementation
weakly textured regions
mixed pixels
spectral unmixing
spatial validation
LoD2
LoD3
3D buildings
automatic building modeling
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences
topic_facet LiDAR
classification
modelling
filtering
segmentation
unmanned aerial vehicle (UAV)
drone
regulations
restrictions
privacy
safety
point clouds
databases
NoSQL
Machine Learning (ML)
point cloud
3D modeling
buildings
cross-section
rotating surface
terrestrial lidar
TLS
forest structure
depth
openness
viewshed
Research Natural Areas
forest vegetation
assessment
LIDAR
GPS
surveying
RMSE
accuracy
confidence calculation
depth estimation
multiview stereo
plane supplementation
weakly textured regions
mixed pixels
spectral unmixing
spatial validation
LoD2
LoD3
3D buildings
automatic building modeling
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences
url ONIX_20240704_9783725806515_168