| cff-version: 1.2.0 |
| message: "If you use this dataset, please cite it using the metadata from this file." |
| type: dataset |
| title: "MatchGeo: Multi-City Digital Elevation Model Dataset for Local Feature Matching" |
| abstract: "A curated multi-city Digital Elevation Model (DEM) dataset aggregating high-resolution elevation data from 13 distinct environments across 6 continents. Designed for training and benchmarking local feature matching algorithms in urban and natural terrain analysis." |
| authors: |
| - family-names: "Correa" |
| given-names: "S. P.L.P." |
| email: "sabrina.correa@ufv.br" |
| affiliation: "Universidade Federal de Vicosa" |
| - family-names: "Santos" |
| - family-names: "Oliveira" |
| given-names: "H. N." |
| affiliation: "Universidade Federal de Vicosa" |
| - family-names: "Belton" |
| given-names: "D." |
| affiliation: "Curtin University of Technology" |
| given-names: "I." |
| family-names: "Ivánová" |
| affiliation: "Curtin University of Technology" |
| given-names: "A. de Paula" |
| family-names: "dos Santos" |
| affiliation: "Universidade Federal de Vicosa" |
| repository-code: "https://github.com/paeslemesa/matchgeo" |
| url: "https://doi.org/10.5281/zenodo.19339008" |
| doi: "10.5281/zenodo.19339008" |
| version: 1.1 |
| date-released: 2026-06-26 |
| keywords: |
| - digital elevation model |
| - DEM |
| - DSM |
| - local feature matching |
| - geospatial dataset |
| - urban terrain |
| - cross-domain matching |
| - computer vision |
| - GeoTIFF |
| - LiDAR |
| - photogrammetry |
| - Structure-from-Motion |
| - satellite stereophotogrammetry |
| license: CC-BY-4.0 |
| preferred-citation: |
| type: dataset |
| title: "MatchGeo: Digital Elevation Model Dataset for Local Feature Matching" |
| authors: |
| - family-names: "Correa" |
| given-names: "S. P. L. P." |
| - family-names: "Oliveira" |
| given-names: "H. N." |
| - family-names: "Beltons" |
| given-names: "D." |
| - family-names: "Ivánová" |
| given-names: "I" |
| - family-names: "Santos" |
| given-names: "A. de Paula" |
| year: 2026 |
| doi: "10.5281/zenodo.19339008" |
| url: "https://doi.org/10.5281/zenodo.19339008" |
|
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