Road Network Extraction in VHR SAR Images of Urban and Suburban Areas by Means of Class-Aided Feature-Level Fusion

Author

Hedman, Karin ; Stilla, Uwe ; Lisini, Gianni ; Gamba, Paolo

Author_Institution

Dept. of Astron. & Phys. Geodesy, Tech. Univ. Munchen, Munich, Germany

Volume

48

Issue

3

fYear

2010

fDate

3/1/2010 12:00:00 AM

Firstpage

1294

Lastpage

1296

Abstract

In this paper, we propose to combine two road extractors from very high resolution synthetic aperture radar scenes: one more successful in rural areas and one explicitly designed for urban areas. In order to get the best combination of both, a rapid mapping filter for discriminating rural and urban scenes is utilized. Finally, the results are fused on a feature level and connected by means of a network optimization. The approach is tested and evaluated on TerraSAR-X data containing complex urban areas and urban-rural fringe scenes.

Keywords

feature extraction; geophysical image processing; geophysical techniques; remote sensing by radar; synthetic aperture radar; Markov random field; TerraSAR-X data; VHR SAR Images; class-aided feature-level fusion; mapping filter; network optimization; road extractors; road network extraction; suburban areas; synthetic aperture radar; urban areas; urban-rural fringe scenes; Markov random field (MRF); TerraSAR-X; rapid mapping; road extraction;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/TGRS.2009.2025123

Filename

5208317