A Two-Level Approach for Species Identification of Coniferous Trees in Central Ontario Forests Based on Multispectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 4, 2015, Pages 1487-1497

  Li, Jili ^a   Hu, Baoxin ^a   Woods, Murray ^b  

^a YORK UNIVERSITY   (Canada)

^b ONTARIO MINISTRY OF NATURAL RESOURCES   (Canada)

Author keywords

Entropy; forestry; image processing

Indexed keywords

CLASSIFICATION (OF INFORMATION); ENTROPY; FORESTRY; REMOTE SENSING;

CENTRAL ONTARIO FORESTS; HIGH SPATIAL RESOLUTION; LOCAL BINARY PATTERNS; MULTISPECTRAL IMAGES; REMOTELY SENSED DATA; SPATIAL INFORMATIONS; SPECIES CLASSIFICATION; SPECIES IDENTIFICATION;

IMAGE PROCESSING;

CONIFEROUS TREE; ENTROPY; FORESTRY; IMAGE PROCESSING; MULTISPECTRAL IMAGE; REMOTE SENSING; SPATIAL ANALYSIS; SPATIAL RESOLUTION;

CLASSIFICATION; ENTROPY; IMAGES; INFORMATION RETRIEVAL;

CANADA; ONTARIO [CANADA];

CONIFERALES; ODOCOILEUS VIRGINIANUS;

EID: 85027955690     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2423272     Document Type: Article

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