Journal Article

PreJuSER-53329

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Visualization and unsupervised classification of changes in multispectral satellite imagery

Canty, M. J.FZJ* ; Nielsen, A. A.

2006
Taylor & Francis London

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Please use a persistent id in citations: doi:10.1080/01431160500222608

Abstract: 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.

Keyword(s): J

Note: Record converted from VDB: 12.11.2012

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Contributing Institute(s):

1. Agrosphäre (ICG-IV)

Research Program(s):

1. Terrestrische Umwelt (P24)

Appears in the scientific report 2006

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