Volume XLII-2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 585-591, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-585-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 585-591, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-585-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 May 2018

30 May 2018

THERMAL TEXTURE SELECTION AND CORRECTION FOR BUILDING FACADE INSPECTION BASED ON THERMAL RADIANT CHARACTERISTICS

D. Lin1, M. Jarzabek-Rychard2, D. Schneider1, and H.-G. Maas1 D. Lin et al.
  • 1Technische Universität Dresden, Institute of Photogrammetry and Remote Sensing, Dresden, Germany
  • 2Technische Universität Berlin, Institute of Geodesy and Geoinformation, Berlin, Germany

Keywords: building facade, thermal image, calibration, texture mapping, terrestrial, 3D model

Abstract. An automatic building façade thermal texture mapping approach, using uncooled thermal camera data, is proposed in this paper. First, a shutter-less radiometric thermal camera calibration method is implemented to remove the large offset deviations caused by changing ambient environment. Then, a 3D façade model is generated from a RGB image sequence using structure-from-motion (SfM) techniques. Subsequently, for each triangle in the 3D model, the optimal texture is selected by taking into consideration local image scale, object incident angle, image viewing angle as well as occlusions. Afterwards, the selected textures can be further corrected using thermal radiant characteristics. Finally, the Gauss filter outperforms the voted texture strategy at the seams smoothing and thus for instance helping to reduce the false alarm rate in façade thermal leakages detection. Our approach is evaluated on a building row façade located at Dresden, Germany.