Speckle reduction via wavelet shrinkage with application to synthetic-aperture-radar-based automatic target detection/reduction (ATD/R)

Haitao Guo; Jan Erik Odegard; Markus Lang; Ramesh A. Gopinath; Ivan W. Selesnick; C. Sidney Burrus

doi:10.1117/12.188782

11 October 1994 Speckle reduction via wavelet shrinkage with application to synthetic-aperture-radar-based automatic target detection/reduction (ATD/R)

Haitao Guo, Jan Erik Odegard, Markus Lang, Ramesh A. Gopinath, Ivan W. Selesnick, C. Sidney Burrus

Author Affiliations +

Proceedings Volume 2303, Wavelet Applications in Signal and Image Processing II; (1994) https://doi.org/10.1117/12.188782
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

We propose a novel speckle reduction method based on shrinking the wavelet coefficients of the logarithmically transformed image. The method is computational efficient and can significantly reduce the speckle while preserving the resolution of the original image. Wavelet processed imagery is shown to provide better detection performance for synthetic-aperture radar based automatic target detection/recognition problem.

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Haitao Guo, Jan Erik Odegard, Markus Lang, Ramesh A. Gopinath, Ivan W. Selesnick, and C. Sidney Burrus "Speckle reduction via wavelet shrinkage with application to synthetic-aperture-radar-based automatic target detection/reduction (ATD/R)", Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); https://doi.org/10.1117/12.188782

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