Building Object and Outdoor Scene Segmentation (BOOSS) - Multi-channel (RGB + Thermal) Aerial Imagery Datasets
Building Object and Outdoor Scene Segmentation (BOOSS) - Multi-channel (RGB + Thermal) Aerial Imagery Datasets
{"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."]}
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.
- University of California System United States
- Karlsruhe Institute of Technology Germany
building thermal modeling; building semantic segmentation; energy audits; instance segmentation; thermal and RGB data fusion
building thermal modeling; building semantic segmentation; energy audits; instance segmentation; thermal and RGB data fusion