Image classification by support vector machines

被引:5
|
作者
Zhang, YN [1 ]
Zhao, RC [1 ]
Leung, Y [1 ]
机构
[1] Northwestern Polytech Univ, Inst Signal Proc, Xian 710072, Shaanxi, Peoples R China
关键词
remote sensing; image classification; support vector machines;
D O I
10.1109/ISIMP.2001.925408
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, support vector machines are used to classify plane targets on a binary remote sensing. The experiment results have shown that support vector machines can generalize well on difficult image classification problems where the only features are high dimensional binary values. Moreover, we observed that the range of the binary values of image affect the performance of classification results.
引用
收藏
页码:360 / 363
页数:4
相关论文
共 50 条
  • [1] Semisupervised image classification with Laplacian support vector machines
    Gomez-Chova, Luis
    Camps-Valls, Gustavo
    Munoz-Mari, Jordi
    Calpe, Javier
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2008, 5 (03) : 336 - 340
  • [2] Color Image Classification Using Support Vector Machines
    冯霞
    [J]. 中国民航大学学报, 2003, (S2) : 184 - 190
  • [3] Polarimetric SAR image classification using support vector machines
    Fukuda, S
    Hirosawa, H
    [J]. IEICE TRANSACTIONS ON ELECTRONICS, 2001, E84C (12) : 1939 - 1945
  • [4] A relative evaluation of multiclass image classification by support vector machines
    Foody, GM
    Mathur, A
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (06): : 1335 - 1343
  • [5] Fusing Image Representations for Classification Using Support Vector Machines
    Demirkesen, Can
    Cherifi, Hocine
    [J]. 2009 24TH INTERNATIONAL CONFERENCE IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ 2009), 2009, : 437 - +
  • [6] Image tamper detection and classification using support vector machines
    Knowles, HD
    Winne, DA
    Canagarajah, CN
    Bull, DR
    [J]. IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 2004, 151 (04): : 322 - 328
  • [7] Infrared-image classification using support vector machines
    Chang, SR
    Nasrabadi, N
    Carin, L
    [J]. 2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, : 4168 - 4168
  • [8] Medical Image Classification based on Fuzzy Support Vector Machines
    Bai Xing-li
    Qian Xu
    [J]. INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 2, PROCEEDINGS, 2008, : 145 - 149
  • [9] Support vector machines for histogram-based image classification
    Chapelle, O
    Haffner, P
    Vapnik, VN
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (05): : 1055 - 1064
  • [10] Feature selection for fast image classification with support vector machines
    Fan, ZG
    Wang, KA
    Lu, BL
    [J]. NEURAL INFORMATION PROCESSING, 2004, 3316 : 1026 - 1031