Target decomposition and recognition from wide-angle SAR imaging based on a Gaussian amplitude-phase model

被引：0

作者：

Yongchen LI ^{[1
]}

Ya-Qiu JIN ^{[1
]}

机构：

[1] Key Laboratory for Information Science of Electromagnetic Waves, Fudan University

来源：

Science China(Information Sciences) | 2017年 / 60卷 / 06期

基金：

中国国家自然科学基金;

关键词：

wide-angle SAR; Gaussian amplitude-phase; time-frequency; target decomposition; target recognition;

D O I：

暂无

中图分类号：

TN957.52 [数据、图像处理及录取];

学科分类号：

080904 ; 0810 ; 081001 ; 081002 ; 081105 ; 0825 ;

摘要：

Wide-angle synthetic aperture radar(W-SAR) imaging accounts for multi-azimuthal scattering and is feasible for retrieving more comprehensive features of complex targets. Because a typical target is seen as composed of its components(typically, some simple geometric objects), a Gaussian amplitude-phase(GAP)model has been developed for the analysis of multi-azimuthal scattering from these objects. Based on the timefrequency analysis of wide-angle scattering, the parameters of the GAP model were estimated, including the Gaussian variance, the surface curvature, and the number of objects in all imaged pixels. Numerical simulations and real measurements demonstrate the capability of the GAP model for decomposing and recognizing complex electric-large targets.

引用

页码：212 / 224

页数：13