Applications of independent component analysis in SAR images

Shiqi Huang; Xinhua Cai; Weihua Hui; Ping Xu

doi:10.1117/12.836951

10 July 2009 Applications of independent component analysis in SAR images

Shiqi Huang, Xinhua Cai, Weihua Hui, Ping Xu

Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74890D (2009) https://doi.org/10.1117/12.836951
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

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.

Citation Download Citation

Shiqi Huang, Xinhua Cai, Weihua Hui, and Ping Xu "Applications of independent component analysis in SAR images", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890D (10 July 2009); https://doi.org/10.1117/12.836951

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