Exploiting Polygon Metadata to Understand Raster Maps - Accurate Polygonal Feature Extraction
Author:
Affiliation:
1. Information Sciences Institute, University of Southern California, Marina del Rey, United States
2. Department of Computer Science and Engineering, University of Minnesota, Minneapolis, United States
Funder
Defense Advanced Research Projects Agency (DARPA)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589132.3625659
Reference17 articles.
1. Historical map polygon and feature extractor
2. Weiye Chen et al. 2022. Deep semantic segmentation for building detection using knowledge-informed features from lidar point clouds . In Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 1--4. Weiye Chen et al. 2022. Deep semantic segmentation for building detection using knowledge-informed features from lidar point clouds. In Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 1--4.
3. A Survey of Digital Map Processing Techniques
4. Mean shift: a robust approach toward feature space analysis
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