Northern conifer forest species classification using multispectral data acquired from an unmanned aerial vehicle

Photogrammetric Engineering and Remote Sensing

Volumn 83, Issue 7, 2017, Pages 501-507

  Franklin, Steven E ^a   Ahmed, Oumer S ^a   Williams, Griffin ^a  

^a TRENT UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AERIAL PHOTOGRAPHY; ARTIFICIAL INTELLIGENCE; DIGITAL CAMERAS; EDUCATION; FORESTRY; IMAGE ANALYSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS; UNMANNED AERIAL VEHICLES (UAV); VIDEO CAMERAS;

BRANCHING CHARACTERISTICS; CLASSIFICATION ACCURACY; CLASSIFICATION VARIABLE; COMMERCIAL TREE SPECIES; MACHINE LEARNING CLASSIFICATION; OBJECT BASED IMAGE ANALYSIS; OPERATIONAL FOREST INVENTORIES; RADIOMETRIC QUALITY;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; CONIFEROUS FOREST; CONIFEROUS TREE; ECOREGION; FOREST INVENTORY; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MACHINE LEARNING; PHOTOGRAMMETRY; PHOTOGRAPHY; SHRUB; SPATIAL RESOLUTION; THREE-DIMENSIONAL MODELING; UNMANNED VEHICLE;

CANADA; GREAT LAKES [NORTH AMERICA]; ONTARIO [CANADA]; SAINT LAWRENCE BASIN;

CONIFEROPHYTA;

EID: 85023765352     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.83.7.501     Document Type: Article

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