Problem Raw imagery -> Quantitative information Courtesy of SeaGIS Courtesy of UWA Various...
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Transcript of Problem Raw imagery -> Quantitative information Courtesy of SeaGIS Courtesy of UWA Various...
ProblemRaw imagery -> Quantitative
information
Courtesy of SeaGIS
Courtesy of UWA
Various organisations (Commonwealth and State Govt, universities, Private industry etc.
Exponential growth in data and time intensive to annotate
Courtesy of IMOS
Fragmented approach•formats•storage locations•methodology•analysis•classification
hence limited collaboration and reuse
Draft Workflow
Benefits:•Cost saving through less time spent manually annotating
•Increased collaboration
•Better science tools
Friedman, A.L., 2013, 'Automated interpretation of benthic stereo imagery', PhD thesis, Australian Centre for Field Robotics, University of Sydney
The many collaborators on the project and the Technical Working Group (TWG) who without their support this project would not be possible
This project includes development funded by the Australian National Data Service (ANDS, http://ands.org.au) and the National eResearch Collaboration Tools and Resources
(NeCTAR, http://nectar.org.au).
ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program and the Education Investment Fund (EIF) Super
Science Initiative.
NeCTAR is an Australian Government project conducted as part of the Super Science initiative and financed by the Education Investment Fund. The University of Melbourne has been appointed the lead agent by the Commonwealth of Australia, Department of Industry,
Innovation, Science, Research and Tertiary Education.
http://catami-australia.blogspot.com.au/http://catami.github.com
Acknowledgement / Further information