An Approach for SAR Image Despeckling Based on 2D-Wavelet Transform and ICA

Lee J S. Speckle analysis and smoothing algorithm forsynthetic aperture radar images [J].Computer Graphic andImage Processing.1981, 17(1):24-32[2]Frost V S, Stiles J A, and Shanmugan K S, et al.. A model forradar images and its application to adaptive digital filteringof multiplicative noise [J].IEEE Trans. on Pattern Analysisand Machine Intelligence.1982, PAMI-4(2):157-166[3]Zhang J, Cheng X G, and Liu J. A speckle reductionalgorithm by soft-thresholding based on wavelet filters forSAR images [C]. Proc. Int. Conf. Signal Processing, Beijing,1998, 2: 1469-1472.[4]Xie H, Pierce L E, and Ulaby F T. SAR speckle reductionusing wavelet denoising and Markov random field modeling[J].IEEE Trans. on Geoscience and Remote Sensing.2002,40(10):2196-2212[5]Achim A, Tsakalides P, and Bezerianos A. SAR imagedenoising via Bayesian wavelet shrinkage based onheavy-tailed modeling [J].IEEE Trans. on Geoscience andRemote Sensing.2003, 41(8):1773-1784[6]Field D J. What is the goal of sensory coding [J]. NeuralComputation, 1994, 6(4): 559-601.[7]Hyv鋜inen A, Oja E, and Hoyer P, et al.. Image featureextraction by sparse coding and independent componentanalysis [C]. Proc. Int. Conf. on Pattern Recognition(ICPR'98), Brisbane, Australia, 1998, 12: 1268-1273.[8]Chen C H and Wang X J. A novel theory of SAR imagerestoration and enhancement with ICA [C]. IEEE Geoscienceand Remote Sensing Symposium, Anchorage, America, 2004,6: 3911-3914.[9]Hyv鋜inen A. Fast and robust fixed-point algorithms forindependent component analysis [J]. IEEE Trans. on NeuralNetworks, 1999, 10(3): 626-634.[10]Bell A J and Sejnowski T J. An Information-Maximizationapproach to blind separation and blind deconvolution [J].Neural Computation.1995, 7(6):1129-1159[11]Mallat S G. A theory for multiresolution signaldecomposition: The wavelet representation [J].IEEE Trans.on Pattern Analysis and Machine Intelligence.1989, 11(7):674-693[12]Daubechies I. Ten Lectures on Wavelets. CBMS-NSFRegional Conf. Series in Applied Mathematics, PhiladelphiaPennsylvania, March 1992, 61: 67-72.[13]Azzerboni B, Finocchio G, and Ipsale M, et al.. A newapproach to detection of muscle activation by independentcomponent analysis and wavelet transform. Springer-Verlag,Lecture Notes in Computer Science, 2002, 2486: 109-116.[14]Azzerboni B, Carpentieri M, and La Foresta F, et al..Neural-ICA and wavelet transform for artifacts removal insurface EMG [J]. Proceedings of 2004 International JointConf. on Neural Networks, Budapest, Hungary, 2004, 4:3223-3228.[15]Oliver C and Quegan S. Understanding Synthetic ApertureRadar Images [M]. Boston: Artech House, 1998, Part 4.4.