Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation-Reference-Cited by-同舟云学术

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Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation

Published:2024-05 Issue: Volume:129 Page:103837
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Xia Xue^ORCID,Zhang Tao,Heitzler Magnus^ORCID,Hurni Lorenz^ORCID

Funder

Swiss National Science Foundation

Publisher

Elsevier BV

Reference38 articles.

1. Achanta, R., Susstrunk, S. (2017). Superpixels and Polygons Using Simple Non-iterative Clustering. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017-Janua(Ic), 4895–4904. doi: 10.1109/CVPR.2017.520.

2. A metric for polygon comparison and building extraction evaluation;Avbelj;IEEE Geosci. Remote Sens. Lett.,2015

3. KIPPI: KInetic Polygonal Partitioning of Images;Bauchet,2018

4. Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S. (2020). End-to-End Object Detection with Transformers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 12346 LNCS (pp. 213–229). doi: 10.1007/978-3-030-58452-8_13.

5. An end-to-end shape modeling framework for vectorized building outline generation from aerial images;Chen;ISPRS J. Photogramm. Remote Sens.,2020

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