Precise estimation of pose for vehicles in MSTAR imagery

被引：1
|
作者：
McFadden, Frank [1 ]
机构：
[1] Gen Dynam Adv Informat Syst, Chantilly, VA 20151 USA
来源：
AUTOMATIC TARGET RECOGNITION XVII | 2007年 / 6566卷
关键词：
SAR; pose; MSTAR; ATR;
D O I：
10.1117/12.718140
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A new algorithm for pose estimation of vehicles in SAR imagery is presented. Using robust features and a structured decision process, the algorithm achieves high precision. Four neural networks are used to make estimates conditional on angular regions, and another neural network is used to fuse these estimates. For the MSTAR Test Sample, the absolute error has a mean of 2 degrees with a standard deviation of 2.1, which is significantly more precise than previously reported results.
引用
收藏
页数：17
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