Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique

The 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 g...

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Main Authors: George Bevan, Matthew J. Lato, Michael Fergusson
Format: Article
Language:English
Published: MDPI AG 2012-10-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/4/10/3006
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author George Bevan
Matthew J. Lato
Michael Fergusson
author_facet George Bevan
Matthew J. Lato
Michael Fergusson
author_sort George Bevan
collection DOAJ
description The 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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spelling doaj.art-f8ffc2227114437cb6995f1dcdd331cb2022-12-21T19:23:59ZengMDPI AGRemote Sensing2072-42922012-10-014103006302110.3390/rs4103006Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging TechniqueGeorge BevanMatthew J. LatoMichael FergussonThe 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.http://www.mdpi.com/2072-4292/4/10/3006imaging technologyrockfallhazard mappingphotogrammetrygigapixel imagingrockmass characterization
spellingShingle George Bevan
Matthew J. Lato
Michael Fergusson
Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique
Remote Sensing
imaging technology
rockfall
hazard mapping
photogrammetry
gigapixel imaging
rockmass characterization
title Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique
title_full Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique
title_fullStr Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique
title_full_unstemmed Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique
title_short Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique
title_sort gigapixel imaging and photogrammetry development of a new long range remote imaging technique
topic imaging technology
rockfall
hazard mapping
photogrammetry
gigapixel imaging
rockmass characterization
url http://www.mdpi.com/2072-4292/4/10/3006
work_keys_str_mv AT georgebevan gigapixelimagingandphotogrammetrydevelopmentofanewlongrangeremoteimagingtechnique
AT matthewjlato gigapixelimagingandphotogrammetrydevelopmentofanewlongrangeremoteimagingtechnique
AT michaelfergusson gigapixelimagingandphotogrammetrydevelopmentofanewlongrangeremoteimagingtechnique