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Research Output Details
Roodposhti, MS and Aryal, J and Lucieer, A and Bryan, BA, “Uncertainty assessment of hyperspectral image classification: Deep learning vs. random forest”, Entropy, 21 (1) Article 78. ISSN 1099-4300 (2019) [Refereed Article] | |
Data Type | Value |
---|---|
Type of Research | Applied Research |
Research Division | Engineering |
Research Group | Geomatic engineering |
Research Field | Photogrammetry and remote sensing |
Research Objective Division | Expanding Knowledge |
Research Objective Group | Expanding knowledge |
Research Objective Field | Expanding knowledge in the environmental sciences |
Visit Item on eCite | http://ecite.utas.edu.au/131340 |
Digital Object Identifier | doi:10.3390/e21010078 |
Scopus Source URL | View the full record on Scopus |
Scopus Citing URL | View the list of citing articles on Scopus |
Web of Science® Source URL | View the full record on Web of Science® |
Web of Science® Citing URL | View the list of citing articles on Web of Science® |
Web of Science® Related URL | View the list of related articles on Web of Science® |
Number of Times Cited | 25 |
Number of Downloads | 37 |