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.
Original language | English |
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Title of host publication | Proceedings of SPIE, Image and Signal Processing for Remote Sensing X |
Publication date | 2004 |
Pages | 356-363 |
Publication status | Published - 2004 |