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Proceedings Paper

A multi-sensor image registration algorithm of window segmentation based on SIFT point and line features vector
Author(s): Yun Jiang; Jun Wang
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Paper Abstract

According to the deficiency of SIFT algorithm for matching multi-source remote sensing image feature points, this paper provides a multi-sensor image registration algorithm of window segmentation based on SIFT point and line feature vector. Firstly, we roughly matched the remote sensing images, and then we divided the remote sensing images into several separate temporary windows based on their characteristics. In the sub-window, we extracted SIFT feature point of remote sensing images and selected the eight directions points with the same name around the feature points to build line feature vectors. Finally, we ended up match point set by constraining the initial point of the SIFT algorithm. Tests show that this method achieved a high matching accuracy.

Paper Details

Date Published: 31 December 2010
PDF: 6 pages
Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 75443I (31 December 2010); doi: 10.1117/12.885454
Show Author Affiliations
Yun Jiang, Wuhan Univ. (China)
Jun Wang, Heilongjiang Geomatics Ctr. of SBSM (China)


Published in SPIE Proceedings Vol. 7544:
Sixth International Symposium on Precision Engineering Measurements and Instrumentation
Jiubin Tan; Xianfang Wen, Editor(s)

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