SAR圖像中運動目標重聚焦改進的最小熵方法
An improved method of the minimum entropy for refocusing the moving target image in the SAR observation
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摘要: 合成孔徑雷達(Synthetic Aperture Radar，SAR)利用回波多普勒(Doppler)頻移生成高分辨率的SAR圖像。高速運動的目標產生額外的多普勒頻移，在SAR圖像上會呈現(xiàn)出帶有拖曳尾跡的散焦圖像。最小熵方法是一種無參數(shù)的優(yōu)化方法。該文以圖像的信息熵為目標函數(shù)，對最小熵方法的優(yōu)化算法進行了改進，加快該方法對于目標重聚焦的實現(xiàn)速度。該文中用模擬的飛行目標散焦圖像進行最小熵優(yōu)化實現(xiàn)重聚焦，為在SAR圖像中快速識別模糊散焦的運動目標提供了一種應用方法。Abstract: Employing the synthetic technology with the Doppler shift, the high resolution image has been achieved by the observation of the space- or air-bome SAR (Syiitlietic. Aperture R.adar). However, unexpected Doppler shift caused by the high speed moving target can defocus the image. The Minimum Entropy Method (MEM) is an optimized method with no request of additional parameters. In this paper, an improved method of MEM is developed. The entropy, as a target function, is optimized for refocusing the image. This method is demonstrated fast and effective when it is applied to a simulated SAR image of a moving aircraft.
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