An Expert System for Road Extraction from Remote Sensing Image

Author

Wang, Yuehai ; Wang, Jingang ; Wang, Qi

Author_Institution

Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China

fYear

2009

fDate

21-22 Nov. 2009

Firstpage

125

Lastpage

128

Abstract

An expert system for road extraction from remote sensing image was proposed to increase the efficiency of road mapping. It is designed based on the technology of image processing and machine vision. This approach obtains the basic characteristics of the road with the expert experience to simulate the process of visual interpretation from remote sensing image. The performance of this expert system can be enhanced by modifying and improving the knowledge base. Moreover, on the base of the characteristics of the road, the expert system can perform fundamental image processing, update the rules, and modify the inference engine methods according to the understanding of experts. The successful application verified its effectiveness.

Keywords

cartography; computer vision; expert systems; feature extraction; inference mechanisms; remote sensing; expert system; image processing; inference engine methods; machine vision; remote sensing image; road extraction; road mapping; visual interpretation; Data mining; Engines; Expert systems; Feature extraction; Humans; Image analysis; Image processing; Image segmentation; Remote sensing; Roads; expert system; image processing; information extraction; remote sensing image;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-1-4244-6420-3

Electronic_ISBN

978-1-4244-6421-0

Type

conf

DOI

10.1109/IITAW.2009.97

Filename

5419482