Unsupervised classification of changes in multispectral satellite imagery

Morton J. Canty; Allan A. Nielsen

doi:10.1117/12.565090

10 November 2004 Unsupervised classification of changes in multispectral satellite imagery

Morton J. Canty, Allan A. Nielsen

Proceedings Volume 5573, Image and Signal Processing for Remote Sensing X; (2004) https://doi.org/10.1117/12.565090
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain

Abstract

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.

Citation Download Citation

Morton J. Canty and Allan A. Nielsen "Unsupervised classification of changes in multispectral satellite imagery", Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); https://doi.org/10.1117/12.565090

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