SAR platform geo-location based on least squares support vector machines

被引：0
|
作者：
Cheng H. [1 ]
Lu W.-W. [1 ]
Tian J.-W. [1 ]
机构：
[1] State Key Laboratory for Multi-Spectral Information Processing Technologies, Institute for Pattern Recognition and Artificial Intelligence, Huazhong Univ. of Sci. and Technol.
来源：
Yuhang Xuebao/Journal of Astronautics | 2010年 / 31卷 / 02期
关键词：
Curve fitting; Error propagation; LSSVM; Platform geo-location; SAR;
D O I：
10.3873/j.issn.1000-1328.2010.02.029
中图分类号：
学科分类号：
摘要：
The SAR geo-location method is composed of two stages. The first stage employs a nonlinear least squares adjustment method which using all control points in an azimuth door to coarsely estimate the SAR platform location at the azimuth time under zero imaging squint angle. And the error propagation law from control point to coarse SAR position is deduced theoretically. The second stage employs a least squares support vector machine which based on coarsely evaluated SAR positions at each azimuth time to finely estimate the SAR platform motion equation in the imaging process. And the accurate SAR platform position at any time is calculated by the least squares support vector machine. Simulated experiment results show the excellent performance of the SAR geo-location method proposed in this paper.
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收藏
页码：489 / 494
页数：5
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