极化SAR数据的细节保持分割

Abstract

Abstract: An unsupervised detail-preserving segmentation method of polarimetric synthetic aperture radar(POLSAR) data is proposed.This method combines the classical POLSAR data classification method based on polarimetric target decomposition and the classification method based on Markov random field(MRF).An Iterated conditional modes(ICM) method is used to obtain the segmentation results.In order to preserve details and smooth the homogeneous regions,the classification result is modified by using the scene homogeneity of the total power(span) image.Experiment results indicate that the proposed method achieves some improvements for detail preservation compared with existed methods.

CLC Number:

TN957.51

ZHANG Tao, HU Feng-ming, YANG Ru-liang. Detail-preserving segmentation of polarimetric synthetic aperture radar data[J]. Journal of Systems Engineering and Electronics, 2009, 31(10): 2372-2375.

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Detail-preserving segmentation of polarimetric synthetic aperture radar data

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