Deciduous tree species classification using object-based analysis and machine learning with unmanned aerial vehicle multispectral data
Abstract
Object-based image analysis and machine-learning classification were applied to multispectral camera array data acquired by a small rotating blade unmanned aerial vehicle (UAV) over a hardwood forest in eastern Ontario. White birch, aspen, and two species of maple were surveyed in the field. Images were segmented and the resulting objects were visually confirmed to correspond with the sampled tree crowns. Following the application of...
Paper Details
Title
Deciduous tree species classification using object-based analysis and machine learning with unmanned aerial vehicle multispectral data
Published Date
Aug 18, 2018
Volume
39
Pages
5236 - 5245
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