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QUALITY ASSESSMENT OF BUILDING TEXTURES EXTRACTED FROM OBLIQUE AIRBORNE THERMAL IMAGERY
Author(s) -
D. Iwaszczuk,
Uwe Stilla
Publication year - 2016
Publication title -
isprs annals of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 38
eISSN - 2194-9042
pISSN - 2196-6346
DOI - 10.5194/isprsannals-iii-1-3-2016
Subject(s) - oblique case , texture (cosmology) , computer science , quality (philosophy) , usability , thermal , matching (statistics) , computer vision , thermal infrared , artificial intelligence , remote sensing , hull , environmental science , geology , geography , image (mathematics) , engineering , infrared , meteorology , optics , mathematics , marine engineering , human–computer interaction , philosophy , linguistics , statistics , physics , epistemology
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.

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