title: A relaxation method for multispectral pixel classification.
abstract: Three approaches to reducing errors in multispectral pixel classification were compared: 1) postprocessing (iterated reclassification based on comparison with the neighbors' classes); 2) preprocessing (iterated smoothing, by averaging with selected neighbors, prior to classification); and 3) relaxation (probabilistic classification followed by iterative probability adjustment). In experiments using a color image of a house, the relaxation approach gave markedly superior performance; relaxation eliminated 4-8 times as many errors as the other methods did.
authors.affiliation: Defense Research Institute, Stockholm, Sweden.
authors.forename: J O
authors.initials: JO
authors.lastname: Eklundh
authors.forename: H
authors.initials: H
authors.lastname: Yamamoto
authors.forename: A
authors.initials: A
authors.lastname: Rosenfeld