Spectrographic texture analysis for earth remote sensing data

The approach to the analysis of Earth remote sensing data on the basis of textural classifier, based on Euclidean–Mahalanobis distance, is offered. The classifier does not consider a point in a picture as separate sets of spectral values. Instead the groups of nearby points forming spectrographic structures are estimated. Experimental results are presented.