Share Email Print

Proceedings Paper

Automatic change detection based on least square image matching
Author(s): Mi Wang; Baorong Zhang; Xiaogang Ning
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The key of automatic change detection between multi-temporal images is these images' matching accuracy should reach sub-pixel level. Nevertheless, due to the influence of various factors of geometrical distortion, remote sensing images after precise geometrical correction always still have pixel-level geometrical distortion. Therefore, ideal result of automatic change detection can't be achieved by these images directly. This paper proposes a new automatic change detection approach based on least square image matching. Using least square method to correct images' distortion, we get the Maximum correlation coefficient by iteration and obtain the optimal match point. By correlation coefficient, whether change or not can also be estimated. This approach resolves the multi-temporal image matching accuracy's influence to the change detection result, by which the accuracy of automatic change detection is guaranteed. The experiment results are provided, which indicate the effectiveness and the reliability of the approach.

Paper Details

Date Published: 2 December 2005
PDF: 7 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 604534 (2 December 2005); doi: 10.1117/12.651849
Show Author Affiliations
Mi Wang, Wuhan Univ. (China)
Baorong Zhang, Wuhan Univ. (China)
Xiaogang Ning, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications
Jianya Gong; Qing Zhu; Yaolin Liu; Shuliang Wang, Editor(s)

© SPIE. Terms of Use
Back to Top