Segmentation for SAR image based on a new spectral clustering algorithm

Authors:
Li-Li Liu;Xian-Bin Wen;Xing-Xing Gao
Affiliations:
Key Laboratory of Computer Vision and System of Ministry of Education, Tianjin University of Technology, Tianjin, China and Tianjin Key Laboratory of Intelligence Computing and Novel Software Tech ...;Key Laboratory of Computer Vision and System of Ministry of Education, Tianjin University of Technology, Tianjin, China and Tianjin Key Laboratory of Intelligence Computing and Novel Software Tech ...;Key Laboratory of Computer Vision and System of Ministry of Education, Tianjin University of Technology, Tianjin, China and Tianjin Key Laboratory of Intelligence Computing and Novel Software Tech ...
Venue:
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
Year:
2010

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Abstract

A new spectral clustering (SC) algorithm with Nyström method is proposed for SAR image segmentation in this paper. The proposed algorithm differs from previous approaches in that not only with Nyström method are employed for alleviating the computational and storage burdens of the SC algorithm, but also a new similarity function is constructed by combining the pixel value and the spatial location of each pixel to depict the intrinsic structure of the original SAR image better. Our algorithm and the classic spectral clustering algorithm with Nyström method are evaluated using the real-world SAR images. The results demonstrate the running time and the error rate of the proposed approach and the classic spectral clustering algorithm with Nyström method.