RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery

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

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

2 Citationer (Scopus)
39 Downloads (Pure)

Abstract

Data exploration and analysis in various domains often necessitate the search for specific objects in massive databases. A common search strategy, often known as search-by-classification, resorts to training machine learning models on small sets of positive and negative samples and to performing inference on the entire database to discover additional objects of interest. While such an approach often yields very good results in terms of classification performance, the entire database usually needs to be scanned, a process that can easily take several hours even for medium-sized data catalogs. In this work, we present RapidEarth, a geospatial search-by-classification engine that allows analysts to rapidly search for interesting objects in very large data collections of satellite imagery in a matter of seconds, without the need to scan the entire data catalog. RapidEarth embodies a co-design of multidimensional indexing structures and decision branches, a recently proposed variant of classical decision trees. These decision branches allow RapidEarth to transform the inference phase into a set of range queries, which can be efficiently processed by leveraging the aforementioned multidimensional indexing structures. The main contribution of this work is a geospatial search engine that implements these technical findings.

OriginalsprogEngelsk
Titel31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023
RedaktørerMaria Luisa Damiani, Matthias Renz, Ahmed Eldawy, Peer Kroger, Mario A. Nascimento
ForlagAssociation for Computing Machinery, Inc.
Publikationsdato2023
Sider1-4
Artikelnummer58
ISBN (Elektronisk)9798400701689
DOI
StatusUdgivet - 2023
Begivenhed31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023 - Hamburg, Tyskland
Varighed: 13 nov. 202316 nov. 2023

Konference

Konference31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023
Land/OmrådeTyskland
ByHamburg
Periode13/11/202316/11/2023
SponsorApple, Esri, Oracle
NavnGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

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