A feature extraction method for synthetic aperture radar (SAR) automatic target recognition based on maximum interclass distance

被引：14
|
作者：
Wang Bing [1 ]
Huang YuLin [1 ]
Yang JianYu [1 ]
Wu JunJie [1 ]
机构：
[1] UESTC, Sch Elect Engn, Chengdu 611731, Peoples R China
来源：
SCIENCE CHINA-TECHNOLOGICAL SCIENCES | 2011年 / 54卷 / 09期
关键词：
synthetic aperture radar (SAR); automatic target recognition (ATR); manifold learning; feature extraction; DIMENSIONALITY REDUCTION; EIGENFACES;
D O I：
10.1007/s11431-011-4430-0
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Synthetic aperture radar (SAR) automatic target recognition is an important application in SAR. How to extract features has restricted the application of SAR technology seriously. In this paper, a new feature extraction method for SAR automatic target recognition based on maximum interclass distance is proposed, which integrates class and neighborhood information. This method can reinforce discriminative power using maximum interclass distance, so it can improve recognition rate effectively.
引用
收藏
页码：2520 / 2524
页数：5
相关论文
共 50 条
  • [1] A feature extraction method for synthetic aperture radar(SAR) automatic target recognition based on maximum interclass distance
    WANG Bing
    [J]. Science China Technological Sciences, 2011, (09) : 2520 - 2524
  • [2] A feature extraction method for synthetic aperture radar(SAR) automatic target recognition based on maximum interclass distance
    WANG BingHUANG YuLinYANG JianYuWU JunJie School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaUESTCChendu China
    [J]. Science China(Technological Sciences)., 2011, 54 (09) - 2524
  • [3] A feature extraction method for synthetic aperture radar (SAR) automatic target recognition based on maximum interclass distance
    Bing Wang
    YuLin Huang
    JianYu Yang
    JunJie Wu
    [J]. Science China Technological Sciences, 2011, 54 : 2520 - 2524
  • [4] NMF and FLD based Feature Extraction with Application to Synthetic Aperture Radar Target Recognition
    Cao, Zongjie
    Feng, Jilan
    Min, Rui
    Pi, Yiming
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012, : 6416 - 6420
  • [5] Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction
    Vera, J. Del Rio
    Coiras, E.
    Groen, J.
    Evans, B.
    [J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2009,
  • [6] Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction
    J. Del Rio Vera
    E. Coiras
    J. Groen
    B. Evans
    [J]. EURASIP Journal on Advances in Signal Processing, 2009
  • [7] Support subspaces method for synthetic aperture radar automatic target recognition
    Fursov, Vladimir
    Zherdev, Denis
    Kazanskiy, Nikolay
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2016, 13 : 1 - 11
  • [8] Enhanced synthetic aperture radar automatic target recognition method based on novel features
    Ning, Chen
    Liu, Wenbo
    Zhang, Gong
    Yin, Jiejun
    Ji, Xiuxia
    [J]. APPLIED OPTICS, 2016, 55 (31) : 8893 - 8904
  • [9] Synthetic aperture radar images target recognition based on wavelet domain NMF feature extraction
    Huan, Ruo-Hong
    Yang, Ru-Liang
    [J]. Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2009, 31 (03): : 588 - 591
  • [10] Incremental learning using feature labels for synthetic aperture radar automatic target recognition
    Hu, Chao
    Hao, Ming
    Wang, Wenying
    Yang, Yong
    Wu, Daoqing
    [J]. IET RADAR SONAR AND NAVIGATION, 2022, 16 (11): : 1872 - 1880
12345