TY  - JOUR
AU  - Canty, M. J.
AU  - Nielsen, A. A.
TI  - Visualization and unsupervised classification of changes in multispectral satellite imagery
JO  - International journal of remote sensing
VL  - 27
SN  - 0143-1161
CY  - London
PB  - Taylor & Francis
M1  - PreJuSER-53329
SP  - 3961 - 3975
PY  - 2006
N1  - Record converted from VDB: 12.11.2012
AB  - 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.
KW  - J (WoSType)
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000241650600017
DO  - DOI:10.1080/01431160500222608
UR  - https://juser.fz-juelich.de/record/53329
ER  -