Abstract:
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.