15 November 2007 Speckle reduction for target extraction in synthetic aperture radar images using adaptive space separation based on independent component analysis
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Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67870D (2007) https://doi.org/10.1117/12.747489
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Proposed is a novel approach based on independent component analysis (ICA) for speckle reduction and target extraction of SAR (synthetic aperture radar) images using adaptive space separation with weighted information entropy incorporated. First the basis and the independent components are respectively obtained by ICA technique, and Weighted Information Entropy of the image is computed, then based on the threshold computed from function T-WIE (Threshold VS. Weighted-Information-Entropy), independent components are adaptively separated and the basis are classified accordingly. Thus, the image space is separated into two subspaces -'clean' and 'noise'. Then, a proposed nonlinear operator 'ABO' is applied on each component of the 'clean' subspace for further optimization. Finally, recovery image is obtained reconstructing this subspace and target is easily extracted with binarisation. Note that here T-WIE is an interpolated function based on several representative target SAR images using proposed space separation algorithm.
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Xifeng An, Yutong Li, "Speckle reduction for target extraction in synthetic aperture radar images using adaptive space separation based on independent component analysis", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870D (15 November 2007); doi: 10.1117/12.747489; https://doi.org/10.1117/12.747489
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