Using segmentation to automate the interpretation of multispectral images

摘要

This paper discusses the possibilities of segmenting the zones of interest on multispectral images, as applied to two mathematical models of a scene. It is shown that the use of unfounded assumptions when constructing a model can cause false information to be obtained about a scene. Results are given from computer experiments on the segmentation of zones of interest, using trispectral images.