Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351639
