Multiscale Markov Random Field Method for SAR Image Segmentation

被引：0
|
作者：
Zhang, Jian-Guang [1 ]
Wen, Xian-Bin
Jiao, Xu
Wang, Lei
机构：
[1] Tianjin Univ Technol, Key Lab Comp Vis & Syst, Minist Educ, Tianjin 300191, Peoples R China
来源：
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年
基金：
中国国家自然科学基金;
关键词：
Multiscale Autoregressive Model; markove random field; Synthetic aperture radar; Image Segmentation; AUTOREGRESSIVE PROCESSES; TEXTURED IMAGES; ALGORITHM;
D O I：
暂无
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, a multiscale markov random field method for segmentation of the synthetic aperture radar (SAR) images is proposed. A classifier which inherits the strongpoint of the markov random field (MRF) and the multiscale autoregressive (MAR) model is designed. The MAR models are utilized to extract the multiscale feature of SAR image, which is used to train the MRF with the proposed algorithm, and then the SAR images is segmented by the trained random field. The experimental result demonstrates the effectiveness and efficiency of the proposed method.
引用
收藏
页码：1846 / 1850
页数：5
相关论文
共 50 条
  • [41] IMAGE SEGMENTATION BASED ON MARKOV RANDOM FIELD AND WATERSHED TECHNIQUES
    纳瑟
    刘重庆
    Journal of Shanghai Jiaotong University(Science), 2002, (01) : 36 - 41
  • [42] Image segmentation using a unified Markov random field model
    Chen, Xiaohui
    Zheng, Chen
    Yao, Hongtai
    Wang, Bingxue
    IET IMAGE PROCESSING, 2017, 11 (10) : 860 - 869
  • [43] Study of sonar image segmentation based on Markov random field
    Tian, Xiaodong
    Liu, Zhong
    Li, Lu
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 408 - 408
  • [44] MCMC algorithm based on Markov random field in image segmentation
    Wang, Huazhe
    Ma, Li
    PLOS ONE, 2024, 19 (02):
  • [45] A NEW LOCALIZED SUPERPIXEL MARKOV RANDOM FIELD FOR IMAGE SEGMENTATION
    Wang, XiaoFeng
    Zhang, Xiao-Ping
    ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3, 2009, : 642 - 645
  • [46] Image Segmentation Based on Evidential Markov Random Field Model
    Zhang, Zhe
    Han, Deqiang
    Yang, Yi
    FOURTH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (CCAIS 2015), 2015, : 239 - 244
  • [47] Unsupervised image segmentation using Markov random field models
    Barker, SA
    Rayner, PJW
    PATTERN RECOGNITION, 2000, 33 (04) : 587 - 602
  • [48] FUZZY CLUSTERING ALGORITHM FOR INTEGRATING MULTISCALE SPATIAL CONTEXT IN IMAGE SEGMENTATION BY HIDDEN MARKOV RANDOM FIELD MODELS
    Liu, Guo-Ying
    Wang, Ai-Min
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2013, 27 (03)
  • [49] Error concealment for image transmission by multiscale Markov random field modeling
    Zhang, Y
    Ma, KK
    2000 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, PROCEEDINGS VOLS I-III, 2000, : 513 - 516
  • [50] Regional multiscale Markov random field for remote sensing image classification
    Dai Q.
    Luo B.
    Zheng C.
    Wang L.
    Yaogan Xuebao/Journal of Remote Sensing, 2020, 24 (03): : 245 - 253
12345