Fuzzy set technique for spatial problem solving

Author

Zehana, M. ; Desachy, J.

Volume

2

fYear

1994

fDate

8-12 Aug. 1994

Firstpage

888

Abstract

The paper describes a new method to manage complex spatial knowledge in an expert system for cartographic problem solving. The proposed method is based on a new fuzzy set segmentation technique, using a level set representation for fuzzy region in an image of certainty factor. The authors propose a hierarchical structure to represent and store a fuzzy region by polygon regions coded in a vector form which allows the system to compute geometric and topologic attributes of fuzzy region.

Keywords

agriculture; cartography; expert systems; fuzzy set theory; image representation; image segmentation; problem solving; remote sensing; spatial data structures; spatial reasoning; visual databases; cartographic problem solving; certainty factor; complex spatial knowledge; expert system; fuzzy region; fuzzy set segmentation technique; fuzzy set technique; geometric attributes; hierarchical structure; level set representation; polygon regions; spatial problem solving; topologic attributes; vector form; Expert systems; Fuzzy sets; Fuzzy systems; Humans; Image segmentation; Knowledge management; Level set; Postal services; Problem-solving; Production;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399292

Filename

399292