Datasets › Boson-nighttime

Boson-nighttime

Introduced by Jiuhong Xiao et al. in Long-range UAV Thermal Geo-localization with Satellite Imagery5 Jun 2023 archive 2025-07-28

In order to collect thermal aerial data, we used FLIR's Boson thermal imager (8.7 mm focal length, 640p resolution, and 50° horizontal field of view)\footnote{\url{https://www.flir.es/products/boson/}}. The collected images are nadir at approx. 1m/px spatial resolution. We performed six flights from 9:00 PM to 4:00 AM and label this dataset as \textbf{Boson-nighttime}, accordingly. To create a single map, we first run a structure-from-motion (SfM) algorithm to reconstruct the thermal map from multiple views. Subsequently, orthorectification is performed by aligning the photometric satellite maps with thermal maps at the same spatial resolution. The ground area covered by Boson-nighttime measures 33 km² in total. The most prevalent map feature is the desert, with small portions of farms, roads, and buildings.

The Bing satellite map\footnote{\url{https://www.bing.com/maps/aerial}} is cropped in the corresponding area as our satellite reference map. We tile the thermal map into 512×512~px thermal image crops with a stride of $35$ px. Each thermal image crop pairs with the corresponding satellite image crop. Areas covered by three flights of Boson-nighttime are used for training and validation. The remaining areas, covered by the other three flights are used for testing. The train/validation/test splits for Boson-nighttime are $10256$/$13011$/$26568$ pairs of satellite and thermal image crops, respectively.

Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • Boson-nighttime

1 variant name, as the archive lists them.

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