Pose estimation of SAR imagery using the two dimensional continuous wavelet transform

被引:24
作者
Kaplan, LM
Murenzi, R
机构
[1] Clark Atlanta Univ, CTSPS, Dept Engn, Atlanta, GA 30314 USA
[2] Minist Educ Sci Technol & Res, Kigali, Rwanda
关键词
automatic target recognition; continuous wavelet transform; pose estimation; synthetic aperture radar;
D O I
10.1016/S0167-8655(03)00053-9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We develop a novel pose estimation technique for synthetic aperture radar image chips based on the 2-D continuous wavelet transform (CWT). The pose estimator exploits a fast approximation of the 2-D CWT so that its computational complexity is comparable to a principle component analysis (PCA) based approach. By incorporating energy from various scales, the CWT approach is more robust than the PCA method. Experiments over the MSTAR database confirm the robustness of the CWT method. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:2269 / 2280
页数:12
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