A feature fusion method for road line extraction from remote sensing image

Author

Huang, Zhijian ; Zhang, Jinfang ; Wang, Luxiao ; Xu, Fanjiang

Author_Institution

Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China

fYear

2012

fDate

22-27 July 2012

Firstpage

52

Lastpage

55

Abstract

In order to obtain complete and correct information for road line extraction from remote sensing image, the complementary of two kinds of line feature is discussed and a feature fusion method is proposed. The method is implemented by cross validating line features of the LSD and the SRM according their spatial relationship. The results of experiments demonstrated the complementary of these two kinds features, and the performance of road extraction with the fused features can be improved obviously than with any single kind of line feature.

Keywords

feature extraction; geophysical image processing; image fusion; remote sensing; traffic engineering computing; LSD; SRM; cross validating line features; feature fusion method; remote sensing image; road line extraction; spatial relationship; Feature extraction; Image edge detection; Image resolution; Image segmentation; Remote sensing; Roads; Transforms; Feature fusion; cross validation; line feature; perceptual organization; remote sensing image; road extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351639

Filename

6351639