Satellite Image Search in AgoraEO
Summary: MiLaN: metric-learning deep hashing for content-based satellite image retrieval; binary codes enable real-time NN search. Demo shows integration with EarthQube in AgoraEO for interactive, query-by-example exploration of large archives. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ahmet Kerem Aksoy (Technical University of Berlin)
- 2. Pavel Dushev (SAP)
- 3. Eleni Tzirita Zacharatou (IT University of Copenhagen)
- 4. Holmer Hemsen (German National Research Center for Information Technology)
- 5. Marcela Charfuelan (German National Research Center for Information Technology)
- 6. Jorge-Arnulfo Quiané-Ruiz (German National Research Center for Information Technology; Technical University of Berlin)
- 7. Begüm Demir (Technical University of Berlin)
- 8. Volker Markl (German National Research Center for Information Technology; Technical University of Berlin)
BibTeX Citation
@article{aksoy_vldb22,
title = {{Satellite Image Search in AgoraEO}},
author = {Aksoy, Ahmet Kerem and Dushev, Pavel and Zacharatou, Eleni Tzirita and Hemsen, Holmer and Charfuelan, Marcela and Quiané-Ruiz, Jorge-Arnulfo and Demir, Begüm and Markl, Volker},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3646--3649},
doi = {10.14778/3554821.3554865},
url = {https://doi.org/10.14778/3554821.3554865},
year = {2022}
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