Applications of independent component analysis in SAR images
2009
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.
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