A 3-D scattering centre model-based SAR target recognition method using multi-level region matching

IF 1.4 4区地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Remote Sensing Letters Pub Date : 2024-02-07 DOI:10.1080/2150704x.2024.2313609

Baiyuan Ding, Ao Zhang, Rui Li

引用次数: 0

Abstract

A 3-D scattering centre model-based synthetic aperture radar (SAR) automatic target recognition (ATR) method is proposed. Multi-level dominant scattering areas (DSAs) are generated from the test sa...

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基于三维散射中心模型的合成孔径雷达目标识别方法（使用多级区域匹配

本文提出了一种基于三维散射中心模型的合成孔径雷达（SAR）自动目标识别（ATR）方法。多层次的主要散射区域（DSAs）是由测试的合成孔径雷达（SAR）产生的。

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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来源期刊

Remote Sensing Letters REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

4.10

自引率

4.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Remote Sensing Letters is a peer-reviewed international journal committed to the rapid publication of articles advancing the science and technology of remote sensing as well as its applications. The journal originates from a successful section, of the same name, contained in the International Journal of Remote Sensing from 1983 –2009. Articles may address any aspect of remote sensing of relevance to the journal’s readership, including – but not limited to – developments in sensor technology, advances in image processing and Earth-orientated applications, whether terrestrial, oceanic or atmospheric. Articles should make a positive impact on the subject by either contributing new and original information or through provision of theoretical, methodological or commentary material that acts to strengthen the subject.