Automatic road extraction from grey-level images based on object database

Ghislaine Bordes; Gerard Giraudon; Olivier Jamet

doi:10.1117/12.281050

5 August 1997 Automatic road extraction from grey-level images based on object database

Ghislaine Bordes, Gerard Giraudon, Olivier Jamet

Proceedings Volume 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III; (1997) https://doi.org/10.1117/12.281050
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

In this paper, an automatic road extraction system is described. The main originality of this system is the use of an existing database as a guide for road extraction in aerial images. The database used is a cartographic database. Its geometric accuracy is about 20 meters, whereas the image resolution is 0.5 m and the accuracy required for the result is one meter. The road extraction strategy is a top-down strategy in which the cartographic database is used to generate road hypotheses. Then, road extraction in the image is constrained by the road hypotheses. The different stages of the interpretation process are described. The results obtained by this system are presented and discussed.

Citation Download Citation

Ghislaine Bordes, Gerard Giraudon, and Olivier Jamet "Automatic road extraction from grey-level images based on object database", Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); https://doi.org/10.1117/12.281050

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