星载SAR图像生成算法综述

Q2 Physics and Astronomy 雷达学报 Pub Date : 2013-03-01 DOI:10.3724/SP.J.1300.2013.20071

Chunsheng Li, Yang Wei, Pengbo Wang

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引用次数: 11

摘要

本文首先回顾了美国和欧洲星载合成孔径雷达(SAR)卫星技术的发展历史和趋势。介绍了已发射卫星的基本情况和未来卫星计划。然后，对星载SAR卫星的成像算法进行了总结和分类，分析了每种算法的优缺点。其次，介绍了各种算法的适用范围和应用现状。然后，详细介绍了SAR成像算法的发展趋势，主要介绍了基于压缩感知理论的SAR成像算法和新的成像模式。最后给出了仿真结果。最后，总结了星载SAR成像算法的发展方向。

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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A Review of Spaceborne SAR Algorithm for Image Formation

This paper first reviews the history and trends in the development of spaceborne Synthetic Aperture Radar (SAR) satellite technology in the USA and Europe. The basic information regarding launched satellites and future satellite plans are introduced. Then, this paper summarizes and categorizes the imaging algorithms of spaceborn SAR satellites, and analyzes the advantages and disadvantages of each algorithm. Next, the scope and the application status of each algorithm are presented. Then, the paper presents details of trends related to the SAR imaging algorithm, which mainly introduces the algorithms based on compressive sensing theory and new image modes. The simulation results are also presented. Finally, we summarize the development direction of the spaceborne SAR imaging algorithm.

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来源期刊

雷达学报 Physics and Astronomy-Instrumentation

CiteScore

4.10

自引率

0.00%

发文量

882

期刊介绍： Journal of Radars was founded in 2012 by the Institute of Space and Astronautical Information Innovation of the Chinese Academy of Sciences (formerly the Institute of Electronics) and the China Radar Industry Association (CRIA), which is located in the high-end academic journal and academic exchange platform in the field of radar, and is committed to promoting and leading the scientific and technological development in the field of radar. The journal can publish Chinese papers and English papers, and is now a bimonthly journal. Journal of Radars focuses on theory, originality and foresight, and its scope of coverage mainly includes: radar theory and system, radar signal and data processing technology, radar imaging technology, radar identification and application technology. Journal of Radars has been included in domestic core journals and foreign Scopus, Ei and other databases, and was selected as ‘China's high-quality science and technology journals’, and ranked the first in the category of electronic technology and communication technology in the ‘Chinese Core Journals List (2023 Edition)’.