Visualization and unsupervised classification of changes in multispectral satellite imagery
نویسندگان
چکیده
منابع مشابه
Unsupervised Classification of Changes in Multispectral Satellite Imagery
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.
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ژورنال
عنوان ژورنال: International Journal of Remote Sensing
سال: 2006
ISSN: 0143-1161,1366-5901
DOI: 10.1080/01431160500222608