一种多孔径SAR图像目标检测方法
A Target Detection Method Based on Multi-aperture SAR Images
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摘要: 提出了一种多孔径SAR图像目标检测方法,充分利用SAR图像幅度和相位信息来区分人造目标和杂波。由于人造目标的回波能量往往集中在部分方位角范围内,当该部分方位角范围所对应的多个子孔径图像中存在目标时,其局部相关性较强,因此,该方法利用多个子孔径图像之间的相干系数检测目标。实验结果表明,该方法有效地提高了目标检测概率,同时降低了虚警概率。Abstract: A target detection method based on multi-aperture SAR images is proposed.With this method the magnitude and the phase characteristics of SAR images were jointly used to distinguish artificial target from clutter.A number of sub-aperture images are generated from SAR image.As the energy of artificial target usually masses in partial range of azimuth angle,the local correlation between the sub-aperture images which are corresponding to the partial range of azimuth angle is strong in the presence of targets.So,the use of the coherence between these sub-aperture images is proposed for target detection.Experimental results demonstrate that the proposed method enhances the detection rate and reduces the false alarm rate effectively.
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