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| Single Channel Circular SAR Moving Targets Detection Based on Background Subtraction Algorithm |
| HONG Wen①②③ SHEN Wenjie①②③ LIN Yun①② BAO Qian①②③ |
①(National Key Laboratory of Science and Technocogy on Micvowave Imaging, Beijing 100190, China)
②(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
③(University of Chinese Academy of Sciences, Beijing 100049, China) |
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Abstract As a new high resolution ground imaging technique, Circular Synthetic Aperture Radar (CSAR) is capable of long time observation and retrieving the information of the targets. By taking the long time observation advantage, a new moving target detecting method is developed based on the single channel CSAR. Moving target signal model is analyzed with equal range equal Doppler equations, then the method is described. This method regards the original SAR image as combination of two images, one is background without moving target, the other one is foreground with moving target. Because the stationary background changes slower than the moving target signal. Thus median filter can be applied to a sequence of overlapping subaperture SAR images along the time to generate the background image. Next, each original frame is used to subtract the background image. Then the moving targets can be obtained. The proposed method is demonstrated on airborne CSAR moving targets dataset.
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Received: 01 December 2016
Published: 14 June 2017
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| Fund:The National Natural Science Foundation of China (61431018) |
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Corresponding Authors:
SHEN Wenjie
E-mail: 15234183106@163.com
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