Target Detection in High Resolution SAR Imagery

Chen Zhi-peng, Xue Hui-feng
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Abstract

The aim of synthetic aperture radar (SAR) imaging is to detect, identify and track the target in the scene. In the paper, a new proposal is discussed to detect the targets in high resolution SAR imagery. First, the improved Lee filter using information entropy is proposed to reduce the noise and keep the detailed characteristic, then a threshold-based segmentation technique is employed to achieve cursory target detection, finally, the feature of target is extracted based on the directed gradient power (DGP). After above operation, the target is accurately detected. And the measured data is used to validate the effectiveness of the method.
高分辨率SAR图像中的目标检测
合成孔径雷达(SAR)成像的目的是探测、识别和跟踪场景中的目标。本文讨论了一种高分辨率SAR图像中目标检测的新方案。首先,提出了利用信息熵的改进Lee滤波器来降低噪声并保持细节特征,然后采用基于阈值的分割技术来实现粗略的目标检测,最后,基于有向梯度功率(DGP)提取目标特征。经过以上操作,目标被准确探测到。并用实测数据验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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