随机粗糙表面和随机离散散射体波散射角相关函数在目标检测中的应用

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.606377

Guifu Zhang, L. Tsang, Y. Kuga

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引用次数: 1

摘要

研究了粗糙表面和体散射的角相关函数，并将其应用于杂波中目标的检测。采用频率平均技术和圆方位角平均技术对二维和三维ACF进行了数值模拟研究。三维情况比二维情况有自由度的增加。这种自由度的增加使得圆方位角平均在抑制杂波方面更加成功，使该技术在实际应用中具有吸引力。

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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Application of angular correlation function of wave scattering by a random rough surface and random discrete scatterers in target detection

The authors study the angular correlation function (ACF) of a rough surface and volume scattering and apply it to the detection of a target embedded in the clutter. Both the 2D and 3D ACF are studied by using numerical simulations with frequency averaging and circular azimuthal angle averaging techniques. The 3D case has an increase of degree of freedom over the 2D case. This increase of freedom makes the circular azimuthal angle averaging more successful in suppressing the clutter, making the technique attractive in real life implementation.

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来源期刊

遥感信息

自引率

0.00%

发文量

3984

期刊介绍： Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.