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Proceedings Paper

Applications of independent component analysis in SAR images
Author(s): Shiqi Huang; Xinhua Cai; Weihua Hui; Ping Xu
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Paper Abstract

The detection of faint, small and hidden targets in synthetic aperture radar (SAR) image is still an issue for automatic target recognition (ATR) system. How to effectively separate these targets from the complex background is the aim of this paper. Independent component analysis (ICA) theory can enhance SAR image targets and improve signal clutter ratio (SCR), which benefits to detect and recognize faint targets. Therefore, this paper proposes a new SAR image target detection algorithm based on ICA. In experimental process, the fast ICA (FICA) algorithm is utilized. Finally, some real SAR image data is used to test the method. The experimental results verify that the algorithm is feasible, and it can improve the SCR of SAR image and increase the detection rate for the faint small targets.

Paper Details

Date Published: 11 July 2009
PDF: 6 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890D (11 July 2009); doi: 10.1117/12.836951
Show Author Affiliations
Shiqi Huang, Xi'an Research Institute of Hi-Tech (China)
Xinhua Cai, Xi'an Research Institute of Hi-Tech (China)
Weihua Hui, Xi'an Research Institute of Hi-Tech (China)
Ping Xu, Xi'an Research Institute of Hi-Tech (China)


Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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