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| Study of Polarimetric Interferometric Unsupervised Wishart Classification of SAR Images |
| Yang Zhen①②; Yang Ru-liang①; Liu Xiu-qing①② |
| ①Institute of Electronics; Chinese Academy of Sciences; Beijing 100080; China;②Graduate School; Beijing 100039; China |
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Abstract In this paper, an unsupervised Wishart classification scheme for polarimetric interferometric SAR data sets is introduced. A 6x6 polarimetric interferometric coherency matrix is used, in order to take simultaneously into account the full polarimetric information from one single image and the coherency information between the pair of these images. This classification scheme is applied to full polarimetric interferometric L-band SAR image pairs of Tien Shan, China, acquired by the NASA/JPL SIR-C/X-SAR sensor in 1994. The results show that this scheme can identify different terrain types and at the same time keep thr details of surface features, which improve greatly the results of the polarimetric unsupervised Wishart classification.
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Received: 28 February 2003
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2004, Vol. 26 
