A design for HMM-based SAR ATR

被引：15
|
作者：
Kottke, DP [1 ]
Fiore, PD [1 ]
Brown, KL [1 ]
Fwu, JK [1 ]
机构：
[1] A Lockheed Martin Co, Sanders, Nashua, NH 03061 USA
来源：
ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY V | 1998年 / 3370卷
关键词：
hidden Markov modeling (HMM); target recognition; image segmentation; synthetic aperture radar (SAR);
D O I：
10.1117/12.321857
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper describes progress on an Automatic Target Recognition (ATR) system for Synthetic Aperture Radar (SAR) imagery. The system is based upon a feature extraction, data ordering, and statistical modeling paradigm. Feature extraction is performed by applying image segmentation to convert the SAR imagery into one of four pixel classes. A description of a real-time image segmentation design is given. The segmented imagery is re-ordered from a two dimensional (2D) spatial representation to a sequential representation through the use of multiple Radon Transforms (RT). Finally, the re-ordered data is classified by target type by appling Hidden Markov Model (HMM) decoding techniques. Performance results on the MSTAR public targets database is provided.
引用
收藏
页码：541 / 551
页数：11
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