Building detection using Bayesian Networks

A. Stassopoulou, T. Caelli

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

This paper further explores the uses of Bayesian Networks for detecting buildings from digital orthophotos. This work differs from current research in building detection in so far as it utilizes the ability of Bayesian Networks to provide probabilistic methods for evidence combination and, via training, to determine how such evidence should be weighted to maximize classification. In this vein, then, we have also utilized expert performance to not only configure the network values but also to adapt the feature extraction pre-processing units to fit human behavior as closely as possible. Results from digital orthophotos of the Washington DC area prove that such an approach is feasible, robust and worth further analysis.

Original languageEnglish
Pages (from-to)715-733
Number of pages19
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume14
Issue number6
DOIs
Publication statusPublished - Sep 2000

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