Improved polarimetric SAR calibration algorithm considering channel noise

被引:0
|
作者
Zhang H. [1 ]
Li Z. [1 ]
Li J. [1 ]
Fang C. [1 ]
机构
[1] National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an
来源
| 1600年 / Science Press卷 / 43期
关键词
Ainsworth algorithm; Polarimetric calibration; Polarimetric SAR;
D O I
10.3969/j.issn.1001-2400.2016.06.008
中图分类号
学科分类号
摘要
It is necessary to calibrate polarimetric SAR (Synthetic Aperture Radar) data in order to use the data for scientific applications. The present Ainsworth algorithm does not consider the cross-polarization channel noise in estimating the cross-polarization imbalance parameter and therefore the estimation of this parameter is not robust. To solve the above problem, an improved Ainsworth algorithm is presented, which takes the cross-polarization channel noise into consideration. This algorithm can preserve a high performance under the situations of difference cross-polarization channel noise powers and a low signal noise ratio. Experimental results based on simulated and real data confirm the effectiveness of the improved algorithm. © 2016, The Editorial Board of Journal of Xidian University. All right reserved.
引用
收藏
页码:45 / 50
页数:5
相关论文
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