Automatic registration of remote sensing images based on SIFT and fuzzy block matching for change detection

This paper presents an automated image registration approach to detecting changes in multi-temporal remote sensing images. The proposed algorithm is based on the scale invariant feature transform (SIFT) and has two phases. The first phase focuses on SIFT feature extraction and on estimation of image...

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Bibliographic Details
Main Authors: Cai Guo-Rong, Li Shao-Zi, Wu Yun-Dong, Chen Shui-Li, Su Song-Zhi
Format: Article
Language:English
Published: Springer 2011-10-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/2378.pdf