AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES
In this paper, a framework for adjusting mobile laser scanning point cloud data to improve the accuracy is proposed by integrating high resolution UAV images and MLS. First, aerial triangulated images with a few high accuracy ground control points are taken as control information. Then, a hierarchic...
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Format: | Article |
Language: | English |
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Copernicus Publications
2015-08-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W4/41/2015/isprsarchives-XL-1-W4-41-2015.pdf |
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author | Y. Gao X. Huang F. Zhang Z. Fu C. Yang |
author_facet | Y. Gao X. Huang F. Zhang Z. Fu C. Yang |
author_sort | Y. Gao |
collection | DOAJ |
description | In this paper, a framework for adjusting mobile laser scanning point cloud data to improve the accuracy is proposed by integrating high resolution UAV images and MLS. First, aerial triangulated images with a few high accuracy ground control points are taken as control information. Then, a hierarchical strategy is proposed for robust pairwise registration of feature points between point cloud and images, so as to find the deviation of the point cloud. In the next step, a shape-preserving piecewise cubic interpolating method is employed to fit the time dependent error model of the trajectory. Finally, experiments are given to prove the effectiveness of proposed framework. |
first_indexed | 2024-12-12T02:31:17Z |
format | Article |
id | doaj.art-ac5094318d104a62a4d08d195447c9d8 |
institution | Directory Open Access Journal |
issn | 1682-1750 2194-9034 |
language | English |
last_indexed | 2024-12-12T02:31:17Z |
publishDate | 2015-08-01 |
publisher | Copernicus Publications |
record_format | Article |
series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-ac5094318d104a62a4d08d195447c9d82022-12-22T00:41:24ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-08-01XL-1-W4414610.5194/isprsarchives-XL-1-W4-41-2015AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGESY. Gao0X. Huang1F. Zhang2Z. Fu3C. Yang4LIESMARS, Wuhan University, ChinaLIESMARS, Wuhan University, ChinaLIESMARS, Wuhan University, ChinaLIESMARS, Wuhan University, ChinaLIESMARS, Wuhan University, ChinaIn this paper, a framework for adjusting mobile laser scanning point cloud data to improve the accuracy is proposed by integrating high resolution UAV images and MLS. First, aerial triangulated images with a few high accuracy ground control points are taken as control information. Then, a hierarchical strategy is proposed for robust pairwise registration of feature points between point cloud and images, so as to find the deviation of the point cloud. In the next step, a shape-preserving piecewise cubic interpolating method is employed to fit the time dependent error model of the trajectory. Finally, experiments are given to prove the effectiveness of proposed framework.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W4/41/2015/isprsarchives-XL-1-W4-41-2015.pdf |
spellingShingle | Y. Gao X. Huang F. Zhang Z. Fu C. Yang AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES |
title_full | AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES |
title_fullStr | AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES |
title_full_unstemmed | AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES |
title_short | AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES |
title_sort | automatic geo referencing mobile laser scanning data to uav images |
url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W4/41/2015/isprsarchives-XL-1-W4-41-2015.pdf |
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