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This paper presents an evaluation of different features for polarimetric SAR (PolSAR) image classification. Firstly, we select several of the polarimetric features to give a summary on them. Then we give an insight into their classification performance together with a texture feature using the support vector machine (SVM). Finally, we employ a feature combination and selection strategy that optimizes...
In the proposed general processing framework for road network extraction in synthetic aperture radar (SAR) images, this paper deals with automatic extraction of the road network. The general framework is based on road candidate detection, followed by optimization using a Markov random field description of road networks. The first part introduces the segment extraction technique in the road detection...
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