Subspace-Based Technique for Speckle Noise Reduction in SAR Images

Image-subspace-based approach for speckle noise removal from synthetic aperture radar (SAR) images is proposed. The underlying principle is to apply homomorphic framework in order to convert multiplicative speckle noise into additive and then to decompose the vector space of the noisy image into sig...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2014-10, Vol.52 (10), p.6257-6271
Hauptverfasser:	Yahya, Norashikin, Kamel, Nidal S., Malik, Aamir Saeed
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Eigenvalues and eigenfunctions Image denoising Noise Noise measurement Noise reduction Preservation principal component analysis (PCA) Radar spatial filters Speckle stochastic processes Subspaces Synthetic aperture radar synthetic aperture radar (SAR) Texture Vectors Wavelet
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