HIERARCHICAL MATCHING OF UNCERTAIN BUILDING MODELS WITH OBLIQUE VIEW AIRBORNE IR IMAGE SEQUENCES
Thermal building textures can be used for detection of damaged and weak spots in the building structure. These textures can be extracted from airborne infrared (IR) image sequences by projecting the 3D building model into the images. However, the direct georeferencing is often not sufficiently acc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B6/117/2012/isprsarchives-XXXIX-B6-117-2012.pdf |
| Summary: | Thermal building textures can be used for detection of damaged and weak spots in the building structure. These textures can be
extracted from airborne infrared (IR) image sequences by projecting the 3D building model into the images. However, the direct georeferencing
is often not sufficiently accurate and the projected 3D model does not match the structures in the image. Thus we present
a technique with the main goal to find the best fit between the existing 3D building model and the IR image sequence. For this
purpose we developed a hierarchical approach consisting of two working stages. In the first stage we correct exterior orientation via
line based matching. In the adjustment we consider both uncertainties: the ones of the model and the ones of the image. In the second
stage we match each edge separately in its closest surrounding. Thanks to this approach a better fit between the 3D building model
and the IR image was found. The originally unmodeled roof overlap was reconstructed. |
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| ISSN: | 1682-1750 2194-9034 |