AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE
Laser scanning technique from airborne and land platforms has been largely used for collecting 3D data in large volumes in the field of geosciences. Furthermore, the laser pulse intensity has been widely exploited to analyze and classify rocks and biomass, and for carbon storage estimation. In gen...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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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/XLI-B5/779/2016/isprs-archives-XLI-B5-779-2016.pdf |
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| author | F. Bordin L. Gonzaga Jr L. Gonzaga Jr F. G. Muller M. R. Veronez M. R. Veronez M. Scaioni |
| author_facet | F. Bordin L. Gonzaga Jr L. Gonzaga Jr F. G. Muller M. R. Veronez M. R. Veronez M. Scaioni |
| author_sort | F. Bordin |
| collection | DOAJ |
| description | Laser scanning technique from airborne and land platforms has been largely used for collecting 3D data in large volumes in the field of
geosciences. Furthermore, the laser pulse intensity has been widely exploited to analyze and classify rocks and biomass, and for carbon
storage estimation. In general, a laser beam is emitted, collides with targets and only a percentage of emitted beam returns according to
intrinsic properties of each target. Also, due interferences and partial collisions, the laser return intensity can be incorrect, introducing
serious errors in classification and/or estimation processes. To address this problem and avoid misclassification and estimation errors,
we have proposed a new algorithm to correct return intensity for laser scanning sensors. Different case studies have been used to
evaluate and validated proposed approach. |
| first_indexed | 2024-12-13T03:46:15Z |
| format | Article |
| id | doaj.art-4392cd49564f459eb2b6c2708e3290f4 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-13T03:46:15Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-4392cd49564f459eb2b6c2708e3290f42022-12-22T00:00:49ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B577978310.5194/isprs-archives-XLI-B5-779-2016AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUEF. Bordin0L. Gonzaga Jr1L. Gonzaga Jr2F. G. Muller3M. R. Veronez4M. R. Veronez5M. Scaioni6Advanced Visualization Laboratory (VIZLab), University of Vale do Rio dos Sinos (UNISINOS) S˜ao Leopoldo, BrazilAdvanced Visualization Laboratory (VIZLab), University of Vale do Rio dos Sinos (UNISINOS) S˜ao Leopoldo, BrazilGraduate Program in Applied Computing (PIPCA), University of Vale do Rio dos Sinos (UNISINOS) S˜ao Leopoldo, BrazilAdvanced Visualization Laboratory (VIZLab), University of Vale do Rio dos Sinos (UNISINOS) S˜ao Leopoldo, BrazilAdvanced Visualization Laboratory (VIZLab), University of Vale do Rio dos Sinos (UNISINOS) S˜ao Leopoldo, BrazilGraduate Program in Geology (PPGEO), University of Vale doRio dos Sinos (UNISINOS) S˜ao Leopoldo, BrazilDepartment of Architecture, Built Environment and Construction Engineering, Politecnico di Milano Milano, ItalyLaser scanning technique from airborne and land platforms has been largely used for collecting 3D data in large volumes in the field of geosciences. Furthermore, the laser pulse intensity has been widely exploited to analyze and classify rocks and biomass, and for carbon storage estimation. In general, a laser beam is emitted, collides with targets and only a percentage of emitted beam returns according to intrinsic properties of each target. Also, due interferences and partial collisions, the laser return intensity can be incorrect, introducing serious errors in classification and/or estimation processes. To address this problem and avoid misclassification and estimation errors, we have proposed a new algorithm to correct return intensity for laser scanning sensors. Different case studies have been used to evaluate and validated proposed approach.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/779/2016/isprs-archives-XLI-B5-779-2016.pdf |
| spellingShingle | F. Bordin L. Gonzaga Jr L. Gonzaga Jr F. G. Muller M. R. Veronez M. R. Veronez M. Scaioni AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE |
| title_full | AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE |
| title_fullStr | AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE |
| title_full_unstemmed | AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE |
| title_short | AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE |
| title_sort | automatic algorithm for minimizing anomalies and discrepancies in point clouds acquired by laser scanning technique |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/779/2016/isprs-archives-XLI-B5-779-2016.pdf |
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