Unsupervised classification of changes in multispectral satellite imagery

被引：4
|
作者：
Canty, MJ [1 ]
Nielsen, AA [1 ]
机构：
[1] Forschungszentrum Julich, D-52425 Julich, Germany
来源：
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING X | 2004年 / 5573卷
关键词：
change detection; clustering;
D O I：
10.1117/12.565090
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
The statistical techniques of multivariate alteration detection, maximum autocorrelation factor transformation, expectation maximization, fuzzy maximum likelihood estimation and probabilistic label relaxation are combined in a unified scheme to classify changes in multispectral satellite data. An example involving bitemporal LANDSAT TM imagery is given.
引用
收藏
页码：356 / 363
页数：8
相关论文
共 50 条
  • [1] Visualization and unsupervised classification of changes in multispectral satellite imagery
    Canty, Morton J.
    Nielsen, Allan A.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (18) : 3961 - 3975
  • [2] Detection by Classification of Buildings in Multispectral Satellite Imagery
    Ishii, Tomohiro
    Simo-Serra, Edgar
    Iizuka, Satoshi
    Mochizuki, Yoshihiko
    Sugimoto, Akihiro
    Ishikawa, Hiroshi
    Nakamura, Ryosuke
    [J]. 2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2016, : 3344 - 3349
  • [3] Dense Cloud Classification on Multispectral Satellite Imagery
    Wohlfarth, Kay
    Schroeer, Christian
    Klass, Maximilian
    Hakenes, Simon
    Venhaus, Maike
    Kauffmann, Soenke
    Wilhelm, Thorsten
    Woehler, Christian
    [J]. 2018 10TH IAPR WORKSHOP ON PATTERN RECOGNITION IN REMOTE SENSING (PRRS), 2018,
  • [4] Inclusion of topographic variables in an unsupervised classification of satellite imagery
    Wulder, MA
    Franklin, SE
    White, JC
    Cranny, MM
    Dechka, JA
    [J]. CANADIAN JOURNAL OF REMOTE SENSING, 2004, 30 (02) : 137 - 149
  • [5] Unsupervised classification of satellite imagery: choosing a good algorithm
    Duda, T
    Canty, M
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (11) : 2193 - 2212
  • [6] Crop classification using temporal stacks of multispectral satellite imagery
    Moody, Daniela I.
    Brumby, Steven P.
    Chartrand, Rick
    Keisler, Ryan
    Longbotham, Nathan
    Mertes, Carly
    Skillman, Samuel W.
    Warren, Michael S.
    [J]. ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXIII, 2017, 10198
  • [7] Land cover classification in fused multisensor multispectral satellite imagery
    Moody, Daniela I.
    Bauer, Dana E.
    Brumby, Steven P.
    Chisolm, Eric D.
    Warren, Michael S.
    Skillman, Samuel W.
    Keisler, Ryan
    [J]. 2016 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION (SSIAI), 2016, : 85 - 88
  • [8] Unsupervised building detection in complex urban environments from multispectral satellite imagery
    Aytekin, Orsan
    Erener, Arzu
    Ulusoy, Ilkay
    Duzgun, Sebnem
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (07) : 2152 - 2177
  • [9] Performance Analysis of Supervised Image Classification Techniques for the Classification of Multispectral Satellite Imagery
    Nawaz, Adil
    Iqbal, Zahid
    Ullah, Sadiq
    [J]. 2015 FOURTH INTERNATIONAL CONFERENCE ON AEROSPACE SCIENCE AND ENGINEERING (ICASE), 2016,
  • [10] Unsupervised Land Cover Classification in Multispectral Imagery with Sparse Representations on Learned Dictionaries
    Moody, Daniela I.
    Brumby, Steven P.
    Rowland, Joel C.
    Gangodagamage, Chandana
    [J]. 2012 IEEE APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP (AIPR), 2012,
12345