24 October 2011 Matching of terrestrial laser intensity image and optical image
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Proceedings Volume 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications; 82860A (2011); doi: 10.1117/12.912832
Event: International Symposium on Lidar and Radar Mapping Technologies, 2011, Nanjing, China
Abstract
The matching of terrestrial laser intensity image and optical image is one of the active research areas in terrestrial laser scanning technique. In this paper, we introduce an algorithm based on gray scale to match intensity image and optical image. The similarity measure and the size of matching template are two crucial issues of this algorithm. Firstly, the correlation coefficient based on gray values and the mutual information based on statistical distribution are combined. Thus an integrated criterion is produced to extract corresponding points in an intensity image and an optical image. Secondly, an experiment was done to perceive the relations between the correlation coefficient and the mutual information of corresponding points and the size of a matching template. This image matching algorithm has two steps, coarse image matching and fine image matching. The coarse image matching step is carried out to search three precise pairs of corresponding points to calculate a mapping polynomial, by which a primary search region can be obtained for reducing the possibility of false correspondence and increasing the speed of image matching. While the fine image matching step aims at obtaining more precise corresponding points in the region determined by the mapping polynomial.
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Yi Zhang, Weiwei Li, Hong Yang, Xiangyang Chen, "Matching of terrestrial laser intensity image and optical image", Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 82860A (24 October 2011); doi: 10.1117/12.912832; https://doi.org/10.1117/12.912832
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KEYWORDS
Digital imaging

Image registration

3D image reconstruction

Associative arrays

Image fusion

Image processing

Image sensors

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