4.7 Article

Wavelet Fusion on Ratio Images for Change Detection in SAR Images

期刊

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 9, 期 6, 页码 1122-1126

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2012.2191387

关键词

Change detection; log-ratio image; mean-ratio image; synthetic aperture radar (SAR) image; wavelet fusion

资金

  1. National High Technology Research and Development Program (863 Program) of China [2009AA12Z210]
  2. Program for New Century Excellent Talents in University [NCET-08-0811]
  3. Program for New Scientific and Technological Star of Shaanxi Province [2010KJXX-03]
  4. Fundamental Research Funds for the Central Universities [K50510020001]

向作者/读者索取更多资源

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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