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