不同数据处理算法的SAR图像分析与比较

2018 IEEE MTT-S International Microwave and RF Conference (IMaRC) Pub Date : 2018-11-01 DOI:10.1109/IMaRC.2018.8877141

P. P. Sastri, Tapas Kumar Pal, B. Prasad, T. Kumar

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引用次数: 2

摘要

微波合成孔径雷达(SAR)系统用于高分辨率成像。本文利用ERS卫星SAR数据，采用多普勒波束锐化(DBS)算法、距离多普勒算法(RDA)、啁啾缩放算法(CSA)和ω - k算法(ωKA)生成SAR图像，并通过测量图像中点目标的脉冲响应函数(IRF)进行分析。对研究结果进行了总结和比较。

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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Analysis of SAR Imagery with different Data Processing Algorithms and Comparison thereof

A microwave synthetic aperture radar (SAR) system is used for very high resolution imaging purpose. In this paper the authors formed SAR images with Doppler Beam Sharpening (DBS) algorithm, Range Doppler Algorithm (RDA), Chirp Scaling Algorithm (CSA) and Omega-K Algorithm (ωKA) using ERS satellite SAR data, and are analyzed by measuring the Impulse Response Function (IRF) of a point target in the images. The results are summarized and compared.

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来源期刊

2018 IEEE MTT-S International Microwave and RF Conference (IMaRC)

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