Title :
Fuzzy set technique for spatial problem solving
Author :
Zehana, M. ; Desachy, J.
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;
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
DOI :
10.1109/IGARSS.1994.399292