Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 9, Issue 6, Pages 1122-1126Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2012.2191387
Keywords
Change detection; log-ratio image; mean-ratio image; synthetic aperture radar (SAR) image; wavelet fusion
Categories
Funding
- National High Technology Research and Development Program (863 Program) of China [2009AA12Z210]
- Program for New Century Excellent Talents in University [NCET-08-0811]
- Program for New Scientific and Technological Star of Shaanxi Province [2010KJXX-03]
- Fundamental Research Funds for the Central Universities [K50510020001]
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This letter presents a novel method based on wavelet fusion for change detection in synthetic aperture radar (SAR) images. The proposed approach is applied to generate the difference image (DI) by using complementary information from mean-ratio and log-ratio images. To restrain the background (unchanged areas) information and enhance the information of changed regions in the fused DI, fusion rules based on weight averaging and minimum standard deviation are chosen to fuse the wavelet coefficients for low-and high-frequency bands, respectively. Experiments on real SAR images confirm that the proposed approach does better than the mean-ratio, log-ratio, and Rayleigh-distribution-ratio operators.
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