Quality measure for textures extracted from airborne IR image sequences

Energy and climate changes are big topics in near future. In the European countries a significant part of consumed energy is used for heating in the buildings. Much effort is required for reducing this energy loss. Inspection and monitoring of buildings contribute in further development saving energy. For detection of areas with the highest loss of heat thermal infrared (IR) imaging can be used. For such inspection a spatial correspondence between IR-images and existing 3D building models is helpful. This correspondence can be created by geo-referencing of the images. Then, the 3D model can be projected into the image and for each surface of the model a region of the image can be selected for texture. In this paper a concept for the texture mapping using IR image sequences is introduced. Emphasis is placed on analysis of texture quality and resolution changes in oblique view images. The influence of the angular aperture and inclination angle on the effective texture resolution is discussed. A formula for calculation of texture quality is proposed. For experiments with data an IR image sequence of test area "Technische Universitet Muenchen" in Munich is used.