对比度最优自聚焦算法
Contrast optimization autofocus algorithm
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摘要: 该文研究了一种适用于SAR的自聚焦算法,称作对比度最优自聚焦算法(Contrast Optimiza-tion Autofocus Algorithm,COAA)。该算法是一种原理简单、收敛快、计算量小、鲁棒性强的自聚焦算法,该文着重研究了COAA的实现方法。通过计算机仿真模拟证明了该算法的有效性。将COAA运用于中关村地区L-SAR数据并得到了理想的图像,这说明该算法具有重要的实际应用价值。最后,该文通过一些具体例子验证了该算法与其他算法相比具有更强的鲁棒性。Abstract: To focus a synthetic-aperture radar image which suffers from phase errors, an autofocus algorithm, Contrast Optimization Autofocus Algorithm (COAA), is proposed. This algorithm is based on the optimization of the contrast function, which represents a measure of the focus degree of the image. The main steps of the COAA are described. Experimental results show that this algorithm is very efficient. The COAA has many advantages. The relative performances of COAA and another autofocus algorithm, MAPDRIFT autofocus algorithm, arc compared.
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W.G. Carrara, et al., Spotlight Synthetic Aperture Radar, Boston, London, Artech House. 1995,245-246.[2]F. Berizzi, G. Corsini, Autofocusing of inverse synthetic aperture radar images using contrast optimization, IEEE Trans. on Aerospace Electron. Syst, 1996, 32(3), 1185-1191.[3]张澄波,综合孔径雷达:原理、系统分析与应用,科学出版社,1989,55. -
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