A hierarchical Markovian model for multiscale region-based classification of multispectral images

被引：0
|
作者：
Katartzis, A [1 ]
Vanhamel, I [1 ]
Sahli, H [1 ]
机构：
[1] Free Univ Brussels, ETRO Dept, B-1050 Brussels, Belgium
来源：
2003 IEEE WORKSHOP ON ADVANCES IN TECHNIQUES FOR ANALYSIS OF REMOTELY SENSED DATA | 2004年
关键词：
D O I：
暂无
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
We propose a new multispectral image classification method, based on a Markovian model, defined on the hierarchy of a multiscale region adjacency graph. The paper describes the main principles of our method and illustrates classification results on a set of artificial and remote sensing images, together with qualitative and quantitative comparisons with a variety of multi- and single-resolution Bayesian classification approaches.
引用
收藏
页码：411 / 416
页数：6
相关论文
共 50 条
  • [1] A hierarchical Markovian model for multiscale region-based classification of multispectral images
    Katartzis, A.
    Vanhamel, I.
    Sahli, H.
    [J]. IEEE Workshop Adv. Tech. Anal. Remote. Sensed Data, 2003, (411-416):
  • [2] A hierarchical Markovian model for multiscale region-based classification of vector-valued images
    Katartzis, A
    Vanhamel, I
    Sahli, H
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (03): : 548 - 558
  • [3] Adaptive region-based compression of multispectral images
    Cagnazzo, M.
    Gaetano, R.
    Parrilli, S.
    Verdoliva, L.
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 3249 - +
  • [4] Region-based transform coding of multispectral images
    Cagnazzo, Marco
    Poggi, Giovanni
    Verdoliva, Luisa
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2007, 16 (12) : 2916 - 2926
  • [5] MULTISCALE CONVOLUTION NETWORK WITH REGION-BASED MAX VOTING FOR HYPERSPECTRAL IMAGES CLASSIFICATION
    Zhang, Xuming
    Zhang, Aizhu
    Sun, Genyun
    Yao, Yanjuan
    [J]. IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 64 - 67
  • [6] SUPERVISED CLASSIFICATION OF THERMAL INFRARED HYPERSPECTRAL IMAGES THROUGH BAYESIAN, MARKOVIAN, AND REGION-BASED APPROACHES
    Barisione, Francesco
    Solarna, David
    De Giorgi, Andrea
    Moser, Gabriele
    Serpico, Sebastiano B.
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 937 - 940
  • [7] Region-based Unsupervised Classification of SAR Images
    Kayabol, Koray
    [J]. ERCIM NEWS, 2012, (89): : 45 - 45
  • [8] Efficient Region-based Classification for Whole Slide Images
    Apou, Gregory
    Naegel, Benoit
    Forestier, Germain
    Feuerhake, Friedrich
    Wemmert, Cedric
    [J]. COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS - THEORY AND APPLICATIONS, VISIGRAPP 2014, 2015, 550 : 239 - 256
  • [9] MULTITEMPORAL REGION-BASED CLASSIFICATION OF HIGH-RESOLUTION IMAGES BY MARKOV RANDOM FIELDS AND MULTISCALE SEGMENTATION
    Moser, Gabriele
    Serpico, Sebastiano B.
    [J]. 2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 102 - 105
  • [10] Region based segmentation and classification of multispectral chromosome images
    Karvelis, Petros S.
    Fotiadis, Dimitrios I.
    Tzallas, Alexandros
    [J]. TWENTIETH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS, 2007, : 251 - +
12345