A novel approach toward rapid road mapping based on beamlet transform

Author

Sghaier, Moslem Ouled ; Coulibaly, Idrissa ; Lepage, Richard

Author_Institution

Ecole de Technol. Super., Montreal, QC, Canada

fYear

2014

fDate

13-18 July 2014

Firstpage

2351

Lastpage

2354

Abstract

In this paper, a new method for road extraction from very high resolution satellite images is introduced. The proposed methodology is based on multiscale analysis of the image through beamlet transform that can approximate edges of an image by means of line segments appearing at different resolution scales. The hypothesis of the membership of these segments to a road is verified by identification of parallel beam-lets representing the main axes of the road. A reconstruction step of the road network is finally applied by aggregation of beamlets representing road candidates belonging to lower scales.

Keywords

geophysical image processing; image resolution; image segmentation; remote sensing; terrain mapping; transforms; beamlet transform; high resolution satellite images; image edges; line segments; road extraction method; road mapping; road network reconstruction; Image edge detection; Image resolution; Image segmentation; Remote sensing; Roads; Satellites; Transforms; Beamlet transform; Haiti earthquake; Multiscale analysis; Road extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6946943

Filename

6946943