RapidEarth: A Search Engine for Large-Scale Geospatial Imagery

Lülf, Christian; Lima Martins, Denis Mayr; Vaz Salles, Marcos Antonio; Zhou, Yongluan; Gieseke, Fabian

Zitieren als

Lülf, C., Lima Martins, D. M., Vaz, S. M. A., Zhou, Y., & Gieseke, F. (2023). RapidEarth: A Search Engine for Large-Scale Geospatial Imagery. In Proceedings of the ACM SIGSPATIAL 2023, Hamburg. (accepted / in press (not yet published))

Details

Publikationstyp
Forschungsartikel in Sammelband (Konferenz)

Begutachtet
Ja

Publikationsstatus
accepted / in press (not yet published)

Jahr
2023

Konferenz
ACM SIGSPATIAL 2023

Konferenzort
Hamburg

Buchtitel
Proceedings of the 31st International Conference on Advances in Geographic Information Systems, SIGSPATIAL, Demo Paper, 2023

Gesamter Text
https://arxiv.org/