SAR图像人造目标检测研究
Man-Made Target Detection of SAR Images
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摘要: 在合成孔径雷达(SAR)自动目标识别中，人造目标的检测至关重要。该文根据SAR图像的特点，对图像中的人造目标进行了检测。首先采用自适应小波滤波方法对图像进行滤波，在保留图像细节的前提下有效地去除了图像中的乘性噪声，使后续的检测变得相对容易。然后采用基于自适应遗传算法的C-划分二维模糊熵算法对图像进行分割。实验结果表明，该文方法能够有效地检测出图像中的人造目标。Abstract: In the process of SAR (Synthetic Aperture Radar) ATR (Automatic Target Recognition), man-made target detection is very important. In this paper, analyzing the characteristics of SAR images, a new method is proposed to detect man-made targets in SAR images. Firstly, the image is smoothed with the adaptive wavelet filter; the multiple speckles are removed while the edge property of SAR images is sustained. It made the detection easier. Then, the images is segmented with the 2-D C-partition fussy entropy method based on adaptive genetic algorithm. Test results show that the algorithm can detect man-made targets effectively.
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