ThermalPointCloud

Monitoring and improving the energy efficiency of urban buildings is essential for promoting the design of zero-energy buildings and achieving sustainable urban development. Thermal infrared (TIR) imaging captures the temperature and radiation characteristics of objects in a scene without physical contact, enabling rapid assessments of building energy efficiency. However, interpreting TIR images requires both specialized knowledge and geometric information of the sites. Additionally, the 2D representation and the limited field of view (FOV) of TIR images make it challenging to fully reconstruct the 3D geometry of the scene and represent the thermal characteristics of large-scale areas. By fusing Light Detection and Ranging (LiDAR) point clouds with thermal infrared (TIR) images, the precise geometric details from LiDAR can be seamlessly integrated with thermal data. The fused thermal point cloud facilitates both accurate geometric representation and efficient processing of large-scale areas, while uniformly integrating thermal textures from multiple TIR images, providing a holistic view that enhances the spatial and thermal analysis of urban environments.