The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 425–431, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-425-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 425–431, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-425-2022
 
30 May 2022
30 May 2022

COMBINING TIR IMAGES AND POINT CLOUDS FOR URBAN SCENES MODELLING

H. Macher and T. Landes H. Macher and T. Landes
  • Université de Strasbourg, CNRS, INSA Strasbourg, ICube Laboratory UMR 7357, Photogrammetry and Geomatics Group, 67000, France

Keywords: thermal infrared, laserscanning, point clouds, texturing, data fusion, trees, building facades, 3D modelling

Abstract. The simulation of the energy balance at the scale of a street become a huge issue. The accurate geometry of the area, detailed atmospheric measurements, and eco-physiological information are necessary to perform faithful simulations. In addition, thermal images showing surface temperatures are also of highly interest to analyse the energy balance between façades and trees. In this context, the aim of our project is to contribute to the development of a methodology for merging 3D geometry of an urban scene with surface temperatures. In this paper, a methodology is proposed for the texturing of a point cloud from a static laser scanner with IR images from a thermal camera. The main idea of the developed methodology is to take part of the ability of the thermal camera to acquire simultaneously RGB and IR images. After determining the relative position and orientation of IR and RGB sensors, the orientations of IR images are deduced from the orientations of RGB images. Then, the point cloud and RGB images are registered by selecting homologous points manually. Finally, the point cloud is textured with the IR images.