QUALITY ASSESSMENT OF BUILDING TEXTURES EXTRACTED FROM OBLIQUE AIRBORNE THERMAL IMAGERY

Abstract. Thermal properties of the building hull became an important topic of the last decade. Combining the thermal data with building models makes it possible to analyze thermal data in a 3D scene. In this paper we combine thermal images with 3D building models by texture mapping. We present a method for texture extraction from oblique airborne thermal infrared images. We put emphasis on quality assessment of these textures and evaluation of their usability for thermal inspections. The quality measures used for assessment are divided to resolution, occlusion and matching quality.

[1]  Görres Grenzdörffer,et al.  Photogrammetric image acquisition and image analysis of oblique imagery , 2008 .

[2]  Christian Früh,et al.  Automated texture mapping of 3D city models with oblique aerial imagery , 2004, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004..

[3]  Nora Ripperda,et al.  DATA DRIVEN RULE PROPOSAL FOR GRAMMAR BASED FACADE RECONSTRUCTION , 2007 .

[4]  Adam Finkelstein,et al.  Non-photorealistic virtual environments , 2000, SIGGRAPH.

[5]  Joachim Höhle,et al.  AUTOMATED MAPPING OF BUILDING FACADES BY MACHINE LEARNING , 2014 .

[6]  Joachim Höhle.  Photogrammetric Measurements in Oblique Aerial Images , 2008 .

[7]  Uwe Stilla,et al.  Line based Matching of Uncertain 3D Building Models with IR Image Sequences for Precise Texture Extraction , 2012 .

[8]  Andreas Nüchter,et al.  Thermal 3D Mapping of Building Façades , 2012, IAS.

[9]  Uwe Stilla,et al.  Quality Assessment for Building Textures from Infrared Image Sequences , 2012 .

[10]  Venkat Devarajan,et al.  Texture mapping 3D models of real-world scenes , 1997, ACM Comput. Surv..

[11]  Long N. Phan,et al.  Automated rapid thermal imaging systems technology , 2012 .

[12]  James D. Carswell,et al.  SAMATS: Texture Extraction Explained , 2009 .

[13]  Supun Samarasekera,et al.  Pose estimation, model refinement, and enhanced visualization using video , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[14]  Francesca Uccheddu,et al.  Automated multispectral texture mapping of 3D models , 2009, 2009 17th European Signal Processing Conference.

[15]  Ioannis Stamos,et al.  AVENUE: Automated site modeling in urban environments , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[16]  Jan Boehm.  Multi-image fusion for occlusion-free faÇade texturing , 2004 .

[17]  Avideh Zakhor,et al.  Automated texture mapping of 3D city models with oblique aerial imagery , 2004 .

[18]  Norman Kerle,et al.  Urban structural damage assessment with oblique UAV imagery, object-based image analysis and semantic reasoning , 2014 .

[19]  U. Stilla,et al.  Texture extraction for building models from IR sequences of urban areas , 2007, 2007 Urban Remote Sensing Joint Event.

[20]  Yandong Wang,et al.  PICTOMETRY ' S PROPRIETARY AIRBORNE DIGITAL IMAGING SYSTEM AND ITS APPLICATION IN 3 D CITY MODELLING , 2008 .