Thermal Bridges on Building Rooftops - PubMed (original) (raw)

Thermal Bridges on Building Rooftops

Zoe Mayer et al. Sci Data. 2023.

Abstract

Thermal Bridges on Building Rooftops (TBBR) is a multi-channel remote sensing dataset. It was recorded during six separate UAV fly-overs of the city center of Karlsruhe, Germany, and comprises a total of 926 high-resolution images with 6927 manually-provided thermal bridge annotations. Each image provides five channels: three color, one thermographic, and one computationally derived height map channel. The data is pre-split into training and test data subsets suitable for object detection and instance segmentation tasks. All data is organized and structured to comply with FAIR principles, i.e. being findable, accessible, interoperable, and reusable. It is publicly available and can be downloaded from the Zenodo data repository. This work provides a comprehensive data descriptor for the TBBR dataset to facilitate broad community uptake.

© 2023. The Author(s).

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1

Fig. 1

Geo-located map of drone flyover regions (left, WGS 84 coordinate system, source: Google Maps), DJI M600 drone (upper right), and Zenmuse XT2 camera with a FLIR Tau 2 thermal sensor (lower right). Dashed lines show the flight paths of the drone, polygons the photographed regions. Numbers correspond to identifier of each flight paths, e.g. 2 for Flug1_102 (see Data Records section below). Image source for the drone and camera: © DJI.

Fig. 2

Fig. 2

Image registration and alignment procedure.

Fig. 3

Fig. 3

Example image from the TBBR dataset (Flug_100, ID 523) showing the different channels, RGB (left), thermal (center), and height map (right), including overlaid annotations.

Fig. 4

Fig. 4

Histograms of thermal (left) and height map (right) pixel values of thermal bridges and background for both the train and test subsets within their 8-bit channel ranges of [0, 255]. Note that the height map values have been truncated slightly above their maximum at 170 for visual clarity. The zero valued pixel peaks arises from slight (~20 pixels) black borders remaining on the right side of images after cropping.

Fig. 5

Fig. 5

Euclidean distances between SIFT descriptors for thermal bridges and background annotations between train and test subsets.

Fig. 6

Fig. 6

Recommended folder structure for TBBR dataset.

References

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