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.
| Original language | English |
|---|---|
| Journal | International Journal of Remote Sensing |
| Volume | 27 |
| Issue number | 18 |
| Pages (from-to) | 3961-3975 |
| ISSN | 0143-1161 |
| Publication status | Published - 2006 |