Unsupervised segmentation of polarimetric SAR data using the covariance matrix
作者： E. Rignot , R. Chellappa , P. Dubois
DOI: 10.1109/36.158863
关键词: Covariance 、 Backscatter 、 Synthetic aperture radar 、 Computer science 、 Image processing 、 Radar imaging 、 Fuzzy clustering 、 Radar 、 Remote sensing 、 Cluster analysis 、 Microwave 、 Covariance matrix 、 Speckle pattern 、 Microwave imaging 、 Polarimetry 、 Image segmentation
摘要: A method for unsupervised segmentation of polarimetric synthetic aperture radar (SAR) data into classes homogeneous microwave backscatter characteristics is presented. Classes are selected on the basis a multidimensional fuzzy clustering logarithm parameters composing covariance matrix. The procedure uses both amplitude and phase information, adapted to presence image speckle, does not require an arbitrary weighting different channels; it also provides partitioning each sample used multiple clusters. Given backscatter, entire classified using maximum posteriori classifier. Four-look SAR complex lava flows sea ice acquired by NASA/JPL airborne (AIRSAR) segmented this technique. >
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H.A. Yueh, J.A. Kong, L.M. Novak, R.T. Shin, A.A. Swartz, Identification of Terrain Cover Using the Optimum Polarimetric Classifier Journal of Electromagnetic Waves and Applications. ,vol. 2, pp. 171- 194 ,(2012) , 10.1163/156939387X00324
James C. Bezdek, Robert Ehrlich, William Full, FCM: The fuzzy c-means clustering algorithm Computers & Geosciences. ,vol. 10, pp. 191- 203 ,(1984) , 10.1016/0098-3004(84)90020-7
Geoffrey H. Ball, David J. Hall, A clustering technique for summarizing multivariate data Behavioral Science. ,vol. 12, pp. 153- 155 ,(1967) , 10.1002/BS.3830120210
James C. Bezdek, Richard J. Hathaway, Michael J. Sabin, William T. Tucker, Convergence theory for fuzzy c-means: Counterexamples and repairs systems man and cybernetics. ,vol. 17, pp. 873- 877 ,(1987) , 10.1109/TSMC.1987.6499296
Howard A. Zebker, Jakob J. van Zyl, Daniel N. Held, Imaging radar polarimetry from wave synthesis Journal of Geophysical Research. ,vol. 92, pp. 683- 701 ,(1987) , 10.1029/JB092IB01P00683
E. RIGNOT, R. KWOK, Characterization of spatial statistics of distributed targets in SAR data International Journal of Remote Sensing. ,vol. 14, pp. 345- 363 ,(1993) , 10.1080/01431169308904341
J. J. VAN ZYL, C. F. BURNETTE, Bayesian classification of polarimetric SAR images using adaptive a priori probabilities International Journal of Remote Sensing. ,vol. 13, pp. 835- 840 ,(1992) , 10.1080/01431169208904157
A. A. Swartz, H. A. Yueh, J. A. Kong, L. M. Novak, R. T. Shin, Optimal polarizations for achieving maximum contrast in radar images Journal of Geophysical Research: Solid Earth. ,vol. 93, pp. 15252- 15260 ,(1988) , 10.1029/JB093IB12P15252
M. Borgeaud, R.T. Shin, J.A. Kong, Theoretical models for polarimetric radar clutter Journal of Electromagnetic Waves and Applications. ,vol. 1, pp. 73- 89 ,(1987) , 10.1163/156939387X00108
D.H. Hoekman, Speckle ensemble statistics of logarithmically scaled data (radar) IEEE Transactions on Geoscience and Remote Sensing. ,vol. 29, pp. 180- 182 ,(1991) , 10.1109/36.103311