Contextual classification of multispectral pixel data

摘要

Contextual statistical decision rules for classification of lattice-structured data such as pixels in multispectral imagery are developed. Their recursive implementation is shown to have a strong resemblance to relaxation algorithms. Experimental evaluation of the proposed algorithms demonstrates their effectiveness.