DocumentCode :
2902201
Title :
Automatic road extraction using fuzzy mask concepts
Author :
Solaiman, B. ; Fiset, R. ; Cavayas, F.
Author_Institution :
Dept. Image et Traitement de l´´Inf., ENST de Bretagne, Brest, France
Volume :
2
fYear :
1998
fDate :
6-10 Jul 1998
Firstpage :
894
Abstract :
In this paper, fuzzy concepts are used in order to realize road pixels extraction. The aim of the proposed algorithms is to attribute a road membership value to each pixel. A set of twelve fuzzy sets representing basic 2D road structures is first defined. The road structure, defined as a logical concatenation of these elementary predefined 2D structures, is then used in order to enhance the road membership values. The proposed approach is applied using a georeferenced SPOT panchromatic image acquired on August 1989 and representing the municipality of Charlesbourg, Quebec, Canada. Obtained results are encouraging in terms of detected road validity as well as in terms of noise resistance
Keywords :
edge detection; feature extraction; fuzzy set theory; geography; remote sensing; 2D road structure; AD 1989 08; August 1989; Canada; Charlesbourg; Quebec; automatic road extraction; detected road validity; elementary predefined 2D structures; fuzzy mask concepts; fuzzy sets; georeferenced SPOT panchromatic image; municipality; noise resistance; road membership value; road pixels extraction; Brightness; Concatenated codes; Data mining; Filters; Fuzzy sets; Pixel; Roads; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
Type :
conf
DOI :
10.1109/IGARSS.1998.699618
Filename :
699618
Link To Document :
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