%0 Journal Article
%A Canty, M. J.
%A Nielsen, A. A.
%T Visualization and unsupervised classification of changes in multispectral satellite imagery
%J International journal of remote sensing
%V 27
%@ 0143-1161
%C London
%I Taylor & Francis
%M PreJuSER-53329
%P 3961 - 3975
%D 2006
%Z Record converted from VDB: 12.11.2012
%X The statistical techniques of multivariate alteration detection, minimum/maximum autocorrelation factors transformation, expectation maximization and probabilistic label relaxation are combined in a unified scheme to visualize and to classify changes in multispectral satellite data. The methods are demonstrated with an example involving bitemporal LANDSAT TM imagery.
%K J (WoSType)
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000241650600017
%R 10.1080/01431160500222608
%U https://juser.fz-juelich.de/record/53329