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

Haito Guo, Jan E. Odegard, Markus Lang, Ramesh A. Gopinath, Ivan Selesnick, C. Sidney Burrus

Research output: Chapter in Book/Report/Conference proceedingChapter

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages333-344
Number of pages12
Volume2303
ISBN (Print)0819416274
Publication statusPublished - 1994
EventWavelet Applications in Signal and Image Processing II - San Diego, CA, USA
Duration: Jul 27 1994Jul 29 1994

Other

OtherWavelet Applications in Signal and Image Processing II
CitySan Diego, CA, USA
Period7/27/947/29/94

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Guo, H., Odegard, J. E., Lang, M., Gopinath, R. A., Selesnick, I., & Burrus, C. S. (1994). Speckle reduction via wavelet shrinkage with application to synthetic-aperture-radar-based automatic target detection/reduction (ATD/R). In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 2303, pp. 333-344). Society of Photo-Optical Instrumentation Engineers.