International Journal of Computational Intelligence Systems

Volume 4, Issue 5, October 2011, Pages 874 - 885

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

Authors
Cai Guo-Rong, Li Shao-Zi, Wu Yun-Dong, Chen Shui-Li, Su Song-Zhi
Corresponding Author
Cai Guo-Rong
Available Online 20 October 2011.
DOI
https://doi.org/10.2991/ijcis.2011.4.5.13How to use a DOI?
Keywords
Registration, scale invariant feature transform, fuzzy membership, fuzzy similarity measure, change detection.
Abstract
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 transformation. In the second phase, Structured Local Binary Haar Pattern (SLBHP) combined with a fuzzy similarity measure is then used to build a new and effective block similarity measure for change detection. Experimental results obtained on multi-temporal data sets show that compared with three mainstream block matching algorithms, the proposed algorithm is more effective in dealing with scale, rotation and illumination changes.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Journal
International Journal of Computational Intelligence Systems
Volume-Issue
4 - 5
Pages
874 - 885
Publication Date
2011/10
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2011.4.5.13How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Cai Guo-Rong
AU  - Li Shao-Zi
AU  - Wu Yun-Dong
AU  - Chen Shui-Li
AU  - Su Song-Zhi
PY  - 2011
DA  - 2011/10
TI  - Automatic registration of remote sensing images based on SIFT and fuzzy block matching for change detection
JO  - International Journal of Computational Intelligence Systems
SP  - 874
EP  - 885
VL  - 4
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.5.13
DO  - https://doi.org/10.2991/ijcis.2011.4.5.13
ID  - Guo-Rong2011
ER  -