SAR image change detection using watershed and spectral clustering

Ruican Niu; L. C. Jiao; Guiting Wang; Jie Feng

doi:10.1117/12.902021

23 November 2011 SAR image change detection using watershed and spectral clustering

Ruican Niu, L. C. Jiao, Guiting Wang, Jie Feng

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 800613 (2011) https://doi.org/10.1117/12.902021
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

A new method of change detection in SAR images based on spectral clustering is presented in this paper. Spectral clustering is employed to extract change information from a pair images acquired on the same geographical area at different time. Watershed transform is applied to initially segment the big image into non-overlapped local regions, leading to reduce the complexity. Experiments results and system analysis confirm the effectiveness of the proposed algorithm.

Citation Download Citation

Ruican Niu, L. C. Jiao, Guiting Wang, and Jie Feng "SAR image change detection using watershed and spectral clustering", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 800613 (23 November 2011); https://doi.org/10.1117/12.902021

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