An algorithm predicting building rooftop displacements on aerial photos using the 3D coordinates of rooftop and the location of lens
Document Type
Conference Proceeding
Publication Date
12-1-2010
Abstract
A new algorithm for predicting building rooftop displacements in individual aerial photos utilizing the lens location at the time of photographing and the 3D coordinates of rooftops is proposed in this paper. Based on camera calibration and mathematical relationships, the algorithm will be implemented through unprocessed 1 foot resolution aerial photographs and an approximated rooftop model. Knowing the lens location at data acquisition, the camera calibration, and the 3D rooftop corner coordinates, the original 3D coordinates of the rooftops can be mathematically projected onto the 2D individual photo coordinates. By overlaying the projected rooftops over unprocessed photos, the algorithm will be evaluated. This algorithm can be used for evaluation of existing 3D rooftop models or object-based change detection, such as those used in individual building damage assessment after an earthquake or hurricane.
Publication Source (Journal or Book title)
American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies
First Page
1030
Last Page
1038
Recommended Citation
Yang, Y., & Friedland, C. (2010). An algorithm predicting building rooftop displacements on aerial photos using the 3D coordinates of rooftop and the location of lens. American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies, 2, 1030-1038. Retrieved from https://repository.lsu.edu/bio_engineering_pubs/470