3dSAGER: Geospatial Entity Resolution over 3D Objects
Summary: 3dSAGER: a pipeline for 3D geospatial entity resolution using spatial-reference-independent geometric featurization to match objects across incompatible coordinate systems. Introduces BKAFI, a lightweight learned blocker for high-recall candidates; improves accuracy and efficiency on urban datasets. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Bar Genossar (Technion)
- 2. Sagi Dalyot (Technion)
- 3. Roee Shraga (Worcester Polytechnic Institute)
- 4. Avigdor Gal (Technion)
BibTeX Citation
@inproceedings{genossar_sigmod26,
title = {{3dSAGER: Geospatial Entity Resolution over 3D Objects}},
author = {Genossar, Bar and Dalyot, Sagi and Shraga, Roee and Gal, Avigdor},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3769751},
url = {https://dl.acm.org/doi/10.1145/3769751},
year = {2026}
}
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