Efficient simulation of SAR interferometric raw signal pairs

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.609031

G. Franceschetti, A. Iodice, M. Migliaccio, D. Riccio

引用次数: 5

Abstract

An efficient SAR raw signal simulator of cross-track interferometric pairs is presented. It is based on the physical optics evaluation of the scattering contributes and it is efficiently implemented via an analytic formulation of the SAR system transfer function. A certain number of meaningful examples are also presented and discussed.

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SAR干涉原始信号对的高效仿真

提出了一种高效的交叉航迹干涉对SAR原始信号模拟器。它基于散射贡献的物理光学评估，并通过SAR系统传递函数的解析公式有效地实现。文中还列举和讨论了一些有意义的例子。

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

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.