AUTOMATIC CLASSIFICATION OF BRIDGES AND CONTINENTAL WATER BODIES FROM 3D POINT CLOUDS (AERIAL LIDAR)
<p>The use of algorithms for automatic classification of aerial laser scanner 3D Point Clouds is the main process that improves its thematic quality. The main objectives of using 3D Point Clouds are the description of the surface and the detection of objects. The aim of this proposal for bridg...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1047/2019/isprs-archives-XLII-2-W13-1047-2019.pdf |
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| author | S. Lorite Martínez J. Moreno Jabato J. M. Garrido Sáenz de Tejada B. Rodríguez-Cuenca |
| author_facet | S. Lorite Martínez J. Moreno Jabato J. M. Garrido Sáenz de Tejada B. Rodríguez-Cuenca |
| author_sort | S. Lorite Martínez |
| collection | DOAJ |
| description | <p>The use of algorithms for automatic classification of aerial laser scanner 3D Point Clouds is the main process that improves its thematic quality. The main objectives of using 3D Point Clouds are the description of the surface and the detection of objects. The aim of this proposal for bridge and water detection algorithms is to increase the range and accuracy of the classification parameters of these products obtained with LiDAR technologies. With this methodology, the Digital Elevation Models (DEM) quality is improved and they are obtained by automated models of bridges and hydrography.</p><p>This paper describes a methodology to detect and classify bridges and continental water bodies in points using the properties of LiDAR technology such as radiometric and geometric variables implementing indexes like NDVI, NDWI or NFC. In addition, the Network of Roads and Hydrographic models in Spain are used to reduce the area of interest and errors. Part of the province of Teruel (Spain) has been used as study area.</p> |
| first_indexed | 2024-12-20T02:36:24Z |
| format | Article |
| id | doaj.art-f26996ce32984d35b21732cdd0cce2e6 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-20T02:36:24Z |
| publishDate | 2019-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-f26996ce32984d35b21732cdd0cce2e62022-12-21T19:56:26ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-06-01XLII-2-W131047105110.5194/isprs-archives-XLII-2-W13-1047-2019AUTOMATIC CLASSIFICATION OF BRIDGES AND CONTINENTAL WATER BODIES FROM 3D POINT CLOUDS (AERIAL LIDAR)S. Lorite Martínez0J. Moreno Jabato1J. M. Garrido Sáenz de Tejada2B. Rodríguez-Cuenca3Instituto Geográfico Nacional, Calle del General Ibáñez de Ibero, 3, 28003, Madrid, SpainInstituto Geográfico Nacional, Calle del General Ibáñez de Ibero, 3, 28003, Madrid, SpainInstituto Geográfico Nacional, Calle del General Ibáñez de Ibero, 3, 28003, Madrid, SpainInstituto Geográfico Nacional, Calle del General Ibáñez de Ibero, 3, 28003, Madrid, Spain<p>The use of algorithms for automatic classification of aerial laser scanner 3D Point Clouds is the main process that improves its thematic quality. The main objectives of using 3D Point Clouds are the description of the surface and the detection of objects. The aim of this proposal for bridge and water detection algorithms is to increase the range and accuracy of the classification parameters of these products obtained with LiDAR technologies. With this methodology, the Digital Elevation Models (DEM) quality is improved and they are obtained by automated models of bridges and hydrography.</p><p>This paper describes a methodology to detect and classify bridges and continental water bodies in points using the properties of LiDAR technology such as radiometric and geometric variables implementing indexes like NDVI, NDWI or NFC. In addition, the Network of Roads and Hydrographic models in Spain are used to reduce the area of interest and errors. Part of the province of Teruel (Spain) has been used as study area.</p>https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1047/2019/isprs-archives-XLII-2-W13-1047-2019.pdf |
| spellingShingle | S. Lorite Martínez J. Moreno Jabato J. M. Garrido Sáenz de Tejada B. Rodríguez-Cuenca AUTOMATIC CLASSIFICATION OF BRIDGES AND CONTINENTAL WATER BODIES FROM 3D POINT CLOUDS (AERIAL LIDAR) The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | AUTOMATIC CLASSIFICATION OF BRIDGES AND CONTINENTAL WATER BODIES FROM 3D POINT CLOUDS (AERIAL LIDAR) |
| title_full | AUTOMATIC CLASSIFICATION OF BRIDGES AND CONTINENTAL WATER BODIES FROM 3D POINT CLOUDS (AERIAL LIDAR) |
| title_fullStr | AUTOMATIC CLASSIFICATION OF BRIDGES AND CONTINENTAL WATER BODIES FROM 3D POINT CLOUDS (AERIAL LIDAR) |
| title_full_unstemmed | AUTOMATIC CLASSIFICATION OF BRIDGES AND CONTINENTAL WATER BODIES FROM 3D POINT CLOUDS (AERIAL LIDAR) |
| title_short | AUTOMATIC CLASSIFICATION OF BRIDGES AND CONTINENTAL WATER BODIES FROM 3D POINT CLOUDS (AERIAL LIDAR) |
| title_sort | automatic classification of bridges and continental water bodies from 3d point clouds aerial lidar |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1047/2019/isprs-archives-XLII-2-W13-1047-2019.pdf |
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