AUTOMATIC GLOBAL REGISTRATION BETWEEN AIRBORNE LIDAR DATA AND REMOTE SENSING IMAGE BASED ON STRAIGHT LINE FEATURES
An automatic global registration approach for point clouds and remote sensing image based on straight line features is proposed which is insensitive to rotational and scale transformation. First, the building ridge lines and contour lines in point clouds are automatically detected as registration pr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-04-01
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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-3/1191/2018/isprs-archives-XLII-3-1191-2018.pdf |
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| author | Z. Q. Liu Z. Q. Liu P. C. Li P. C. Li S. H. Huang C. L. Ye Q. Ma J. J. Yang |
| author_facet | Z. Q. Liu Z. Q. Liu P. C. Li P. C. Li S. H. Huang C. L. Ye Q. Ma J. J. Yang |
| author_sort | Z. Q. Liu |
| collection | DOAJ |
| description | An automatic global registration approach for point clouds and remote sensing image based on straight line features is proposed which is insensitive to rotational and scale transformation. First, the building ridge lines and contour lines in point clouds are automatically detected as registration primitives by integrating region growth and topology identification. Second, the collinear condition equation is selected as registration transformation function which is based on rotation matrix described by unit quaternion. The similarity measure is established according to the distance between the corresponding straight line features from point clouds and the image in the same reference coordinate system. Finally, an iterative Hough transform is adopted to simultaneously estimate the parameters and obtain correspondence between registration primitives. Experimental results prove the proposed method is valid and the spectral information is useful for the following classification processing. |
| first_indexed | 2024-12-22T12:28:07Z |
| format | Article |
| id | doaj.art-40431a6fe1e44f3193dbf3e24279034a |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-22T12:28:07Z |
| publishDate | 2018-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-40431a6fe1e44f3193dbf3e24279034a2022-12-21T18:25:43ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-04-01XLII-31191119710.5194/isprs-archives-XLII-3-1191-2018AUTOMATIC GLOBAL REGISTRATION BETWEEN AIRBORNE LIDAR DATA AND REMOTE SENSING IMAGE BASED ON STRAIGHT LINE FEATURESZ. Q. Liu0Z. Q. Liu1P. C. Li2P. C. Li3S. H. Huang4C. L. Ye5Q. Ma6J. J. Yang7Zhengzhou Campus, Army Academy of Artillery and Air Defense, ChinaState Key Laboratory of Geo-information Engineering, ChinaZhengzhou Institute of Surveying and Mapping, ChinaState Key Laboratory of Geo-information Engineering, ChinaZhengzhou Campus, Army Academy of Artillery and Air Defense, ChinaZhengzhou Campus, Army Academy of Artillery and Air Defense, ChinaZhengzhou Campus, Army Academy of Artillery and Air Defense, ChinaZhengzhou Campus, Army Academy of Artillery and Air Defense, ChinaAn automatic global registration approach for point clouds and remote sensing image based on straight line features is proposed which is insensitive to rotational and scale transformation. First, the building ridge lines and contour lines in point clouds are automatically detected as registration primitives by integrating region growth and topology identification. Second, the collinear condition equation is selected as registration transformation function which is based on rotation matrix described by unit quaternion. The similarity measure is established according to the distance between the corresponding straight line features from point clouds and the image in the same reference coordinate system. Finally, an iterative Hough transform is adopted to simultaneously estimate the parameters and obtain correspondence between registration primitives. Experimental results prove the proposed method is valid and the spectral information is useful for the following classification processing.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1191/2018/isprs-archives-XLII-3-1191-2018.pdf |
| spellingShingle | Z. Q. Liu Z. Q. Liu P. C. Li P. C. Li S. H. Huang C. L. Ye Q. Ma J. J. Yang AUTOMATIC GLOBAL REGISTRATION BETWEEN AIRBORNE LIDAR DATA AND REMOTE SENSING IMAGE BASED ON STRAIGHT LINE FEATURES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | AUTOMATIC GLOBAL REGISTRATION BETWEEN AIRBORNE LIDAR DATA AND REMOTE SENSING IMAGE BASED ON STRAIGHT LINE FEATURES |
| title_full | AUTOMATIC GLOBAL REGISTRATION BETWEEN AIRBORNE LIDAR DATA AND REMOTE SENSING IMAGE BASED ON STRAIGHT LINE FEATURES |
| title_fullStr | AUTOMATIC GLOBAL REGISTRATION BETWEEN AIRBORNE LIDAR DATA AND REMOTE SENSING IMAGE BASED ON STRAIGHT LINE FEATURES |
| title_full_unstemmed | AUTOMATIC GLOBAL REGISTRATION BETWEEN AIRBORNE LIDAR DATA AND REMOTE SENSING IMAGE BASED ON STRAIGHT LINE FEATURES |
| title_short | AUTOMATIC GLOBAL REGISTRATION BETWEEN AIRBORNE LIDAR DATA AND REMOTE SENSING IMAGE BASED ON STRAIGHT LINE FEATURES |
| title_sort | automatic global registration between airborne lidar data and remote sensing image based on straight line features |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1191/2018/isprs-archives-XLII-3-1191-2018.pdf |
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