Matching and Recognition of Road Networks from Aerial Images
Abstract
In this paper, we develop a method of matching and recognizing aerial road network images based on road network models. We use attributed relational graphs to describe images and models. The correspondences are found using a relaxation labelling algorithm, which optimises a criterion of similarity.
Cite
Text
Li et al. "Matching and Recognition of Road Networks from Aerial Images." European Conference on Computer Vision, 1992. doi:10.1007/3-540-55426-2_99Markdown
[Li et al. "Matching and Recognition of Road Networks from Aerial Images." European Conference on Computer Vision, 1992.](https://mlanthology.org/eccv/1992/li1992eccv-matching/) doi:10.1007/3-540-55426-2_99BibTeX
@inproceedings{li1992eccv-matching,
title = {{Matching and Recognition of Road Networks from Aerial Images}},
author = {Li, Stan Z. and Kittler, Josef and Petrou, Maria},
booktitle = {European Conference on Computer Vision},
year = {1992},
pages = {857-861},
doi = {10.1007/3-540-55426-2_99},
url = {https://mlanthology.org/eccv/1992/li1992eccv-matching/}
}