Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique
AbstractThe use of terrestrial remote imaging techniques, specifically LiDAR (Light Detection And Ranging) and digital stereo-photogrammetry, are widely proven and accepted for the mapping of geological structure and monitoring of mass movements. The use of such technologies can be limited, however: LiDAR generally by the cost of acquisition, and stereo-photogrammetry by the tradeoff between possible resolution within the scene versus the spatial extent of the coverage. The objective of this research is to test a hybrid gigapixel photogrammetry method, and investigate optimal equipment configurations for use in mountainous terrain. The scope of the work included field testing at variable ranges, angles, resolutions, and in variable geological and climatologically settings. Original field work was carried out in Canada to test various lenses and cameras, and detailed field mapping excursions were conducted in Norway. The key findings of the research are example data generated by gigapixel photogrammetry, a detailed discussion on optimal photography equipment for gigapixel imaging, and implementations of the imaging possibilities for rockfall mapping. This paper represents a discussion about a new terrestrial 3-dimensional imaging technique. The findings of this research will directly benefit natural hazard mapping programs in which rockfall potential must be recorded and the use of standard 3-dimensional imaging techniques cannot be applied.
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Lato, M.J.; Bevan, G.; Fergusson, M. Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique. Remote Sens. 2012, 4, 3006-3021.
Lato MJ, Bevan G, Fergusson M. Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique. Remote Sensing. 2012; 4(10):3006-3021.Chicago/Turabian Style
Lato, Matthew J.; Bevan, George; Fergusson, Michael. 2012. "Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique." Remote Sens. 4, no. 10: 3006-3021.