Bayesian speckle noise reduction using the discrete wavelet transform

TitleBayesian speckle noise reduction using the discrete wavelet transform
Publication TypeConference Paper
Year of Publication1998
AuthorsZeng, Z., and I. Cumming
Conference NameGeoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Pagination7 -9 vol.1
Date Publishedjul.
KeywordsBayes method, Bayes methods, Bayesian estimator, Bayesian speckle noise reduction, discrete wavelet transform, geophysical measurement technique, geophysical signal processing, geophysical techniques, image processing, land surface, Laplacian point statistics, radar imaging, radar remote sensing, remote sensing by radar, SAR image, spaceborne radar, speckle, speckle reduction, standard-deviation-to-mean ratio, sub-band decomposition, synthetic aperture radar, target-to-clutter ratio, terrain mapping, wavelet transforms

Speckle noise is an inherent property of SAR images. The discrete wavelet transform results in sub-band decompositions of SAR images which have Laplacian point statistics. The authors propose a Bayesian estimator to perform speckle reduction. They evaluate the speckle reduction results using two measurements: standard-deviation-to-mean ratio and target-to-clutter ratio. They show that good speckle reduction results can be achieved while maintaining the significant information of the SAR image


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