文献类型：期刊文献

英文题名：A Novel Rapid SAR Simulator Based on Equivalent Scatterers for Three-Dimensional Forest Canopies

作者：Zeng, Tao[1] Hu, Cheng[1] Sun, Hanwei[2] Chen, Erxue[3]

第一作者：Zeng, Tao

通信作者：Hu, C[1]

机构：[1]Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China;[2]Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China;[3]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China

年份：2014

卷号：52

期号：9

起止页码：5243-5255

外文期刊名：IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

收录：;EI(收录号：20141617598309);Scopus(收录号：2-s2.0-84898602314);WOS:【SCI-EXPANDED(收录号:WOS:000337171900001)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61032009 and Grant 60890073 and in part by the Postdoctoral Science Foundation of China under Grant 2013M540961.

语种：英文

外文关键词：Equivalent scattering model; rapid simulator; raw-signal generation; synthetic aperture radar (SAR); Three-dimensional forest canopies

摘要：Synthetic aperture radar (SAR) simulation of 3-D forest canopies is a powerful tool for studying the interaction between radar and forest, for testing new applications, and for devising inversion algorithms of forest structures. SAR raw-signal generation is frequently used in point-target simulation but is rarely used in 3-D forest simulation. The existing simulators directly produce SAR images based on an impulse response function (IRF) without involving raw-signal generation and various nonideal factors. In this paper, a novel simulator to produce SAR images of 3-D forest canopies is proposed. It incorporates a SAR raw-signal generation process taking account of various nonideal factors such as trajectory deviation of radar platforms and complexity of natural environments, which is more faithful to realistic remote sensing systems. Furthermore, an approach to speed up the raw-signal generation is put forward based on the equivalent scattering model consisting of a few virtual scatterers with specially calculated positions and backscattering matrices. Thus, the raw signals received from the entire forest canopy can be equivalent to those from virtual scatterers in the case of tiny slant-range errors. The error sensitivity of equivalent conditions is analyzed, and the optimum selection of equivalent parameters is derived considering the compromise between precision and efficiency. The results of simulation and forest height inversion demonstrate the feasibility and potential utilities of the proposed simulator.