Wavelet Based SAR Speckle Reduction and Image Compression

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dc.citation.bibtexNametechreporten_US
dc.citation.journalTitleNoneen_US
dc.citation.volumeNumberCML TR95-08en_US
dc.contributor.authorOdegard, Jan E.en_US
dc.contributor.authorGuo, Haitaoen_US
dc.contributor.authorLang, Markusen_US
dc.contributor.authorBurrus, C. Sidneyen_US
dc.contributor.authorWells, R.O.en_US
dc.contributor.authorNovak, L.M.en_US
dc.contributor.authorHiett, M.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:45:21Zen_US
dc.date.available2007-10-31T00:45:21Zen_US
dc.date.issued1995-01-15en_US
dc.date.modified2004-04-24en_US
dc.date.submitted2004-04-24en_US
dc.descriptionTech Reporten_US
dc.description.abstractThis paper evaluates the performance of the recently published wavelet based algorithm for speckle reduction of SAR images. The original algorithm, based on the theory of wavelet thresholding due to Donoho and Johnstone, has been shown to improve speckle statistics. In this paper we give more extensive results based on tests performed at Lincoln Laboratory (LL). The LL benchmarks show that the SAR imagery is significantly enhanced perceptually. Although the wavelet processed data results in an increase in the number of natural clutter false alarms (from trees etc.) an appropriately modified CFAR detector (i.e., by clamping the estimated clutter standard deviation) eliminates the extra false alarms. The paper also gives preliminary results on the performance of the new and improved wavelet denoising algorithm based on the shift invariant wavelet transform. By thresholding the shift invariant discrete wavelet transform we can further reduce speckle to achieve a perceptually superior SAR image with ground truth information significantly enhanced. Preliminary results on the speckle statistics of this new algorithm is improved over the classical wavelet denoising algorithm. Finally, we show that the classical denoising algorithm as proposed by Donoho and Johnstone and applied to SAR has the added benefit of achieving about 3:1 compression with essentially no loss in image fidelity.en_US
dc.description.sponsorshipTexas Instrumentsen_US
dc.identifier.citationJ. E. Odegard, H. Guo, M. Lang, C. S. Burrus, R. Wells, L. Novak and M. Hiett, "Wavelet Based SAR Speckle Reduction and Image Compression," <i>None,</i> vol. CML TR95-08, 1995.en_US
dc.identifier.urihttps://hdl.handle.net/1911/19915en_US
dc.language.isoengen_US
dc.subjectWavelet thresholdingen_US
dc.subjectSARen_US
dc.subjectspeckle reductionen_US
dc.subjectcompressionen_US
dc.subject.keywordWavelet thresholdingen_US
dc.subject.keywordSARen_US
dc.subject.keywordspeckle reductionen_US
dc.subject.keywordcompressionen_US
dc.subject.otherWavelet based Signal/Image Processingen_US
dc.titleWavelet Based SAR Speckle Reduction and Image Compressionen_US
dc.typeReporten_US
dc.type.dcmiTexten_US
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