Share Email Print
cover

Proceedings Paper

SAR image change detection using watershed and spectral clustering
Author(s): Ruican Niu; L. C. Jiao; Guiting Wang; Jie Feng
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 23 November 2011
PDF: 8 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 800613 (23 November 2011); doi: 10.1117/12.902021
Show Author Affiliations
Ruican Niu, Xidian Univ. (China)
L. C. Jiao, Xidian Univ. (China)
Guiting Wang, Xidian Univ. (China)
Jie Feng, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top