Computer Science ›› 2014, Vol. 41 ›› Issue (11): 282-285.doi: 10.11896/j.issn.1002-137X.2014.11.055

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New Wishart MRF Method for Fully PolSAR Image Classification

ZHANG Shuang,WANG Shuang and JIAO Li-cheng   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The unsupervised Wishart classifier has usually given some misclassified pixels,i.e.,several classes present the same polarimetric scattering mechanism,or one class has several different polarimetric scattering mechanisms.Aiming at it,this paper proposed a new Wishart MRF method for fully polarimetric synthetic aperture radar (PolSAR) image classification.Instead of preserving the fixed scattering characteristic,the new method sets a constrained scope for the label shifting from one to another.In addition,prior information is extracted by MRF method with an adaptive neighborhood.The physical scattering characteristic is considered,as well as the statistics information and the spatial information,and the physical scattering characteristics are preserved in a certain degree.Compared with traditional Wishart classifier and modified Wishart classifier preserving polarimetric scattering characteristics,the proposed method has better classification results on JPL/NASA AIRSAR data of San Francisco.

Key words: PolSAR image classification,Target decomposition,Scattering mechanism

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