Skip to Main content Skip to Navigation
Journal articles

Morphological Path Filtering at the Region Scale for Efficient and Robust Road Network Extraction from Satellite Imagery

Luc Courtrai 1 Sébastien Lefèvre 1
1 OBELIX - Environment observation with complex imagery
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, UBS - Université de Bretagne Sud
Abstract : Roads are important elements in geographic information systems and remote sensing applications. Their automatic extraction is challenging when only aerial or satellite images are used. Recently, some promising attempts have been made with (incomplete) path opening/closing, morphological filters able to deal with curvilinear structures. We propose here to apply morphological path filters not on pixels directly but rather on regions representing road segments, in order to improve both efficiency and robustness. The overall process is organized in two steps: first we map road segments by rectangular areas made of similar content, before we connect such segments into paths of segments or polylines using region-based path filtering. Robustness to occlusion is ensured through the adaptation of the incomplete path filtering strategy to the region scale, while better discrimination between road segments and other objects is achieved through an hit-or-miss transform that exploits background knowledge. Experiments conducted on several satellite images illustrate the interest of the proposed approach, and shows it outperforms pixelwise detection.
Document type :
Journal articles
Complete list of metadatas

Cited literature [28 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01320006
Contributor : Sébastien Lefèvre <>
Submitted on : Thursday, November 14, 2019 - 11:51:26 AM
Last modification on : Friday, July 10, 2020 - 4:24:49 PM
Long-term archiving on: : Saturday, February 15, 2020 - 1:00:44 PM

File

prl2016 (1).pdf
Files produced by the author(s)

Identifiers

Citation

Luc Courtrai, Sébastien Lefèvre. Morphological Path Filtering at the Region Scale for Efficient and Robust Road Network Extraction from Satellite Imagery. Pattern Recognition Letters, Elsevier, 2016, Special Issue on Advances in Pattern Recognition in Remote Sensing, 83, pp.195 - 204. ⟨10.1016/j.patrec.2016.05.014⟩. ⟨hal-01320006⟩

Share

Metrics

Record views

971

Files downloads

256