采用自适应加权范数外推法提高条形SAR图像的方位分辨率

Goran Antonijević, S. Simic, Dimitrije Bujaković
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引用次数: 1

摘要

本文介绍了在采用多普勒波束锐化(DBS)算法生成的条形SAR图像上应用自适应加权范数外推法(AWNE)提高方位轴分辨率的过程。列举了条形图SAR记录的特点,以及DBS算法方位轴分辨率差的原因。在使用AWNE方法之前,先在方位轴上对SAR数据进行修改。结果表明,信号在频域的分辨率得到了提高,这代表了条带图SAR图像方位轴分辨率的提高。
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Improving the azimuth resolution of stripmap SAR image using Adaptive Weighted Norm Extrapolation
The content — This paper describes the procedure of application Adaptive Weighted Norm Extrapolation (AWNE) method on stripmap SAR image which was formed using Doppler Beam Sharpening (DBS) algorithm, in order to improve resolution in the azimuth axis. The characteristics of stripmap SAR recording are listed, as well as the causes of poor resolution in the azimuth axis of the DBS algorithm. Before using the AWNE method, the SAR data were modified in the azimuth axis. The result is that the resolution of the signal in the frequency domain is improved, which represents resolution improvement in the azimuth axis of stripmap SAR image.
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