Published August 1, 2021
| Version 1.0
Dataset
Open
Building Object and Outdoor Scene Segmentation (BOOSS) - Multi-channel (RGB + Thermal) Aerial Imagery Datasets
Creators
- 1. University of Southern California
- 2. Karlsruhe Institute of Technology
Description
The dataset of Building Object and Outdoor Scene Segmentation (BOOSS) is based on multi-channel aerial imagery data. It covers
- Ground Truth
- RGB
- Thermal
The annotations in version 1.0 include roofs, facades, cars, roof equipment, and ground equipment
Please cite as:
Hou, Yu, Meida Chen, Rebekka Volk, and Lucio Soibelman. "An Approach to Semantically Segmenting Building Components and Outdoor Scenes Based on Multichannel Aerial Imagery Datasets." Remote Sensing 13, no. 21 (2021): 4357.
Files
datasets.zip
Files
(924.8 MB)
Name | Size | Download all |
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md5:4602bb16154d3265b66093c706cbcc5c
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Additional details
References
- Y. Hou, L. Soibelman, R. Volk, and M. Chen, Factors Affecting the Performance of 3D Thermal Mapping for Energy Audits in A District by Using Infrared Thermography (IRT) Mounted on Unmanned Aircraft Systems (UAS), doi: https://doi.org/10.22260/ISARC2019/0036.
- Y. Hou, R. Volk, M. Chen, and L. Soibelman, (2021). Fusing tie points' RGB and thermal information for mapping large areas based on aerial images: A study of fusion performance under different flight configurations and experimental conditions, Automation in Construction, vol. 124, doi: 10.1016/j.autcon.2021.103554.