Combining Rasters
There are many ways both to correct and to analyze the geospatial data in raster objects. You can treat raster objects as variables in logical and mathematical expressions to minimize systematic image degradation, reconstruct data dropouts, and enhance image features. Additionally, by applying a number of analytical combinations, you can highlight targeted types of image features.
coregister rasters
subtract path radiance
NDVI vegetation index
reduce dimensionality
multilinear regression
normalize multi-temporal sets
predict dropout values
compute band ratios
Tasseled Cap transformation
enhance multi-raster sets
decorrelation stretch
SML syntax / functions
