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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2011-10-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/2378.pdf |