New Discrimination Features for SAR Automatic Target Recognition

被引：96

作者：

Park, Jong-Il ^{[1
,2
,3
]}

Park, Sang-Hong ^{[4
]}

Kim, Kyung-Tae ^{[1
,2
,3
]}

机构：

[1] Pohang Univ Sci & Technol, Dept Elect Engn, Pohang 790784, South Korea

[2] Pohang Univ Sci & Technol, Dept Creat IT Excellence Engn, Pohang 790784, South Korea

[3] Pohang Univ Sci & Technol, Future IT Innovat Lab, Pohang 790784, South Korea

[4] Pukyong Natl Univ, Dept Elect Engn, Pusan 608737, South Korea

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2013年 / 10卷 / 03期

关键词：

Automatic target recognition (ATR); feature selection; synthetic aperture radar (SAR); target discrimination; FEATURE-SELECTION; IMAGES; ALGORITHM;

D O I：

10.1109/LGRS.2012.2210385

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

We propose new features and a redundancy-free feature selection scheme for discriminating targets from clutter in high-resolution synthetic aperture radar imagery. These were found to be very useful for discriminating targets from clutter and well combined with various classical discriminative features. If a feature set with a larger dimension is used, its redundancy may increase. In order to reduce this redundancy, a rank-based feature selection scheme is devised. Our discriminating features and feature selection algorithm are evaluated using the moving and stationary target acquisition and recognition (MSTAR) data set.

引用

页码：476 / 480

页数：5

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