An Assessment of a Low-Cost Approach to Automatic Spatial Referencing Of sUAS-SfM Image Orthomosaics for Use in Denied Environments

dc.contributor.advisor Wingert, Everett en_US Devaney, Charles P. en_US
dc.contributor.department Geography and Environment en_US 2017-12-18T20:58:37Z 2017-12-18T20:58:37Z 2015-05 en_US
dc.description MA University of Hawaii at Manoa 2015 en_US
dc.description Includes bibliographical references (leaves 68–72). en_US
dc.description.abstract Low-cost unmanned aerial systems have be underutilized in post-disaster scenarios. The need for fast and accurate information is very important when making sense of situations where immanent risk to response personnel as well as disaster survivors is present. The establishment of a geospatial relationship to determine the condition of a space or place becomes ever so important in the aftermath of a catastrophic event such as a terrorist attack, or a natural disaster. In a cluttered environment, it is often difficult if not impossible to establish a geospatial relationship using image data acquired by a small unmanned aerial system without spatial referencing. To test a potential methodology to solve this issue of spatial relevance in a denied environments where no ground control can be established, an experiment was conducted using a custom built sUAS to carry an off-the-shelf camera for image acquisition. With the use of open-source software the imagery collected was given spatial reference and processed through a contemporary image processing workflow. The image output was analyzed for its error with respect to the requirements of the Federal Emergency Management Agency. en_US
dc.format.extent vi, 72 leaves en_US
dc.language.iso eng en_US
dc.publisher [Honolulu] : [University of Hawaii at Manoa], [May 2015] en_US
dc.relation Theses for the degree of Master of Arts (University of Hawaii at Manoa). Geography. en_US
dc.rights All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner. en_US
dc.subject UAS platforms en_US
dc.subject photogrammetry en_US
dc.subject geospatial relationship en_US
dc.subject Federal Emergency Management Agency en_US
dc.subject image data collection en_US
dc.title An Assessment of a Low-Cost Approach to Automatic Spatial Referencing Of sUAS-SfM Image Orthomosaics for Use in Denied Environments en_US
dc.type Thesis en_US
dc.type.dcmi Text en_US
local.thesis.degreelevel MA en_US
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