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Thermal building textures can be used for detection of damaged and weak spots in the building structure. These textures can be\udextracted from airborne infrared (IR) image sequences by projecting the 3D building model into the images. However, the direct georeferencing\udis often not sufficiently accurate and the projected 3D model does not match the structures in the image. Thus we present\uda technique with the main goal to find the best fit between the existing 3D building model and the IR image sequence. For this\udpurpose we developed a hierarchical approach consisting of two working stages. In the first stage we correct exterior orientation via\udline based matching. In the adjustment we consider both uncertainties: the ones of the model and the ones of the image. In the second\udstage we match each edge separately in its closest surrounding. Thanks to this approach a better fit between the 3D building model\udand the IR image was found. The originally unmodeled roof overlap was reconstructed

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

HIERARCHICAL MATCHING OF UNCERTAIN BUILDING MODELS WITH OBLIQUE VIEW AIRBORNE IR IMAGE SEQUENCES