System Integration of GIS and a Rule-Based Expert System for Urban Mapping

Jinmu Choi, E. Lynn Usery

Research output: Contribution to journalReview articlepeer-review

20 Citations (Scopus)

Abstract

A rule-based expert system has been the most common artificial intelligence (AI) technique for system integration with geographic information systems (GIS) because of its simple rule structure. In this paper, a rule-based expert system is presented that uses an interactive question-and-answer sequence integrated with GIS for spatial data mapping. The integrated system consists of three main parts: expert, user, and map. Rules can be constructed easily in the expert part using English. Users can derive a solution to a specific problem from the rules in the user part through the interactive question-and-answer sequence. The solution can then be mapped directly in the GIS (map) part. This system is applied to the interactive interpretation and mapping of aerial photographs for an urban area. The land-use/land-cover map results in 93.44 percent overall accuracy with a kappa index of 0.9288.

Original languageEnglish
Pages (from-to)217-224
Number of pages8
JournalPhotogrammetric Engineering and Remote Sensing
Volume70
Issue number2
DOIs
Publication statusPublished - Feb 2004

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