In the last decade the capability of thermal IR-cam eras has stepwise increased while the prices have g one down. This enables to use IR technology in wide field of applications. Infrare d (IR) cameras can be used to capture the IR radiatio n of buildings. By analyzing data of thermal sensors it is possible to detect th e areas with the highest loss of heat. Nowadays in most cases thermal images are analyzed only qualitatively. However, without analyzing the geometry of the data acquisition or not de aling with the geometry of the captured scene, it is difficult to combine thermal data with other imagery or semantic information sto red in the spatial data base. Aim of our work is the automated texture mapping of exi sting 3D building models with images recorded by IR cameras. In this way, 2D images are connected with a D GIS database and can be further analyzed together with the information about the geometry of objects. For texture mapping the external orientati on of the image is required. In general a direct ge o-referencing is possible using data from inertial navigation system (INS) and GPS. For this purpose the camera system including GPS/I NS has to be calibrated. In order to utilize the GPS/INS data correctly, the pa rameters of the boresight and the leverarm have to be estimated. An accurate estimation of internal orientation parameters have to be taken into account. A determination of distor tion was also performed. As the acquisition of the images was conducted from a heli copter platform which was vibrating with a high fre quency and amplitude, some additional problems occurred. Finally the texture m apping of selected parts of the Technische Universi taet Muenchen D building model was performed.     «

In the last decade the capability of thermal IR-cam eras has stepwise increased while the prices have g one down. This enables to use IR technology in wide field of applications. Infrare d (IR) cameras can be used to capture the IR radiatio n of buildings. By analyzing data of thermal sensors it is possible to detect th e areas with the highest loss of heat. Nowadays in most cases thermal images are analyzed only qualitatively. However, without analyzing the geometry of the data acquisition or n...     »