基于SAR图像参数化重建目标三维散射中心模型位置的方法

Q2 Physics and Astronomy
Liu Xiao-ming, Wen Gong-jian, Zhong Jin-rong
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引用次数: 0

摘要

(61302部队,北京100016)摘要:本文提出了一种基于SAR图像参数化重建目标三维散射中心模型的方法,用于目标识别。首先,提出了一种基于SAR图像重建目标三维位置的框架。然后,采用从SAR图像中获取目标散射中心参数的方法重建目标的三维散射中心模型;最后,用仿真数据对所提方法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for Parametrically Reconstructing Position of 3D Scattering Center Model of Targets from SAR Images
② (61302 PLA Troops, Beijing 100016, China) Abstract: In this paper, we present the methods of parametrically reconstructing the position of a 3D scattering center model of the targets from SAR images for a target recognition application. First, a framework for reconstructing the 3D position of the targets from the SAR images is proposed. Then, a method that uses the parameters obtained from the scattering center of the targets from the SAR images is used for reconstructing the 3D scattering center model. Finally, the proposed methods are confirmed using the simulated data.
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来源期刊
雷达学报
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)’.
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