Enhanced resolution in fully polarimetric synthetic aperture radar imaging using bandwidth extrapolation

被引：0

作者：

Huang, Darong ^{[1
]}

Zhang, Lei ^{[1
]}

Guo, Xinrong ^{[1
]}

Xing, Mengdao ^{[1
]}

Bao, Zheng ^{[1
]}

机构：

[1] National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an , 710071, Shaanxi

来源：

Dianbo Kexue Xuebao/Chinese Journal of Radio Science | 2014年 / 29卷 / 05期

关键词：

Bandwidth extrapolation; Pauli decomposition; Polarimetric synthetic aperture radar (PolSAR); Super resolution;

D O I：

10.13443/j.cjors.2013090903

中图分类号：

学科分类号：

摘要：

The resolution of polarimetric SAR (PolSAR) can be improved by using the conventional method to different polarization-channel data independently. However, it doesn't exploit the polarization information entirely, which essentially presents the target scattering. In this paper, full-polarization data is decomposed according to Pauli's basis. Under this decomposition, we develop a PolSAR bandwidth extrapolation algorithm, which is jointly extrapolating the frequency bandwidth of all polarization-channel data. By the joint extrapolation, the proposed method can obtain more accurate prediction model than the conventional bandwidth extrapolation method, yielding higher resolution. Experimental results of real data are presented to demonstrate the effectiveness of the proposed method. © 2014 by Editorial Department of Chinese Journal of Radio Science.

引用

页码：799 / 805and814

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