The use of data set reliability factors in a multidimensional Bayesian classifier

Author

Máximo, Orlando Alves ; Fernandes, David

Author_Institution

Instituto de Estudos Avancados, Sao Jose Dos Campos, Brazil

Volume

4

fYear

2002

fDate

24-28 June 2002

Firstpage

2425

Abstract

This paper evaluates the reliability factors influence in a multidimensional Bayesian classifier. To evaluate the best reliability factors values, an accuracy index based on five well known accuracy coefficients was proposed. The results for a two-dimensional classifier show that, instead of a unique combination of reliability factors that achieves the best results, there is a linear relation between the best choices of reliability factors. A method for the reliability factors estimation is also proposed.

Keywords

Bayes methods; geophysical signal processing; geophysical techniques; image classification; multidimensional signal processing; terrain mapping; Bayes method; IR; accuracy index; data set reliability factors; geophysical measurement technique; hyperspectral remote sensing; image classification; infrared; land surface; multidimensional Bayesian classifier; multidimensional remote sensing; multidimensional signal processing; remote sensing; terrain mapping; visible; Bayesian methods; Digital images; Humans; Multidimensional systems; Pixel; Remote sensing; Sensor fusion; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1026566

Filename

1026566