QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATA
Backpack laser scanning systems have emerged recently enabling fast data collection and flexibility to make measurements also in areas that cannot be reached with, for example, vehicle-based laser scanners. Backpack laser scanning systems have been developed both for indoor and outdoor use. We have...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-1/41/2016/isprs-annals-III-1-41-2016.pdf |
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| author | P. Rönnholm X. Liang A. Kukko A. Jaakkola J. Hyyppä |
| author_facet | P. Rönnholm X. Liang A. Kukko A. Jaakkola J. Hyyppä |
| author_sort | P. Rönnholm |
| collection | DOAJ |
| description | Backpack laser scanning systems have emerged recently enabling fast data collection and flexibility to make measurements also in
areas that cannot be reached with, for example, vehicle-based laser scanners. Backpack laser scanning systems have been developed
both for indoor and outdoor use. We have developed a quality analysis process in which the quality of backpack laser scanning data
is evaluated in the forest environment. The reference data was collected with an unmanned aerial vehicle (UAV) laser scanning
system. The workflow included noise filtering, division of data into smaller patches, ground point extraction, ground data
decimation, and ICP registration. As a result, we managed to observe the misalignments of backpack laser scanning data for 97
patches each including data from circa 10 seconds period of time. This evaluation revealed initial average misalignments of 0.227 m,
0.073 and -0.083 in the easting, northing and elevation directions, respectively. Furthermore, backpack data was corrected according
to the ICP registration results. Our correction algorithm utilized the time-based linear transformation of backpack laser scanning
point clouds. After the correction of data, the ICP registration was run again. This revealed remaining misalignments between the
corrected backpack laser scanning data and the original UAV data. We found average misalignments of 0.084, 0.020 and -0.005
meters in the easting, northing and elevation directions, respectively. |
| first_indexed | 2024-12-21T20:52:24Z |
| format | Article |
| id | doaj.art-bb6cc76adfd348938513a8a0e69ad5f1 |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-12-21T20:52:24Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-bb6cc76adfd348938513a8a0e69ad5f12022-12-21T18:50:40ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502016-06-01III-1414710.5194/isprs-annals-III-1-41-2016QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATAP. Rönnholm0X. Liang1A. Kukko2A. Jaakkola3J. Hyyppä4Aalto University, Department of Built Environment, P.O. Box 15800, 00076 Aalto, FinlandFinnish Geospatial Research Institute, FGI, National Land Survey of Finland, Helsinki, FinlandAalto University, Department of Built Environment, P.O. Box 15800, 00076 Aalto, FinlandFinnish Geospatial Research Institute, FGI, National Land Survey of Finland, Helsinki, FinlandFinnish Geospatial Research Institute, FGI, National Land Survey of Finland, Helsinki, FinlandBackpack laser scanning systems have emerged recently enabling fast data collection and flexibility to make measurements also in areas that cannot be reached with, for example, vehicle-based laser scanners. Backpack laser scanning systems have been developed both for indoor and outdoor use. We have developed a quality analysis process in which the quality of backpack laser scanning data is evaluated in the forest environment. The reference data was collected with an unmanned aerial vehicle (UAV) laser scanning system. The workflow included noise filtering, division of data into smaller patches, ground point extraction, ground data decimation, and ICP registration. As a result, we managed to observe the misalignments of backpack laser scanning data for 97 patches each including data from circa 10 seconds period of time. This evaluation revealed initial average misalignments of 0.227 m, 0.073 and -0.083 in the easting, northing and elevation directions, respectively. Furthermore, backpack data was corrected according to the ICP registration results. Our correction algorithm utilized the time-based linear transformation of backpack laser scanning point clouds. After the correction of data, the ICP registration was run again. This revealed remaining misalignments between the corrected backpack laser scanning data and the original UAV data. We found average misalignments of 0.084, 0.020 and -0.005 meters in the easting, northing and elevation directions, respectively.http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-1/41/2016/isprs-annals-III-1-41-2016.pdf |
| spellingShingle | P. Rönnholm X. Liang A. Kukko A. Jaakkola J. Hyyppä QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATA ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATA |
| title_full | QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATA |
| title_fullStr | QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATA |
| title_full_unstemmed | QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATA |
| title_short | QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATA |
| title_sort | quality analysis and correction of mobile backpack laser scanning data |
| url | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-1/41/2016/isprs-annals-III-1-41-2016.pdf |
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