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- Title
AUTOMATIC GLOBAL REGISTRATION BETWEEN AIRBORNE LIDAR DATA AND REMOTE SENSING IMAGE BASED ON STRAIGHT LINE FEATURES.
- Authors
Liu, Z. Q.; Li, P. C.; Huang, S. H.; Ye, C. L.; Ma, Q.; Yang, J. J.
- Abstract
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.
- Subjects
LIDAR; AIRBORNE-based remote sensing; IMAGE registration
- Publication
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2018, Vol 42, Issue 3, p1191
- ISSN
1682-1750
- Publication type
Article
- DOI
10.5194/isprs-archives-XLII-3-1191-2018