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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Format: | Article |
Language: | English |
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MDPI AG
2012-10-01
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Series: | Remote Sensing |
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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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format | Article |
id | doaj.art-f8ffc2227114437cb6995f1dcdd331cb |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-12-20T23:01:44Z |
publishDate | 2012-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
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 |