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Féret et al., 2012 - Google Patents

Semi-supervised methods to identify individual crowns of lowland tropical canopy species using imaging spectroscopy and LiDAR

Féret et al., 2012

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Document ID
8602849818294103120
Author
Féret J
Asner G
Publication year
Publication venue
Remote Sensing

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Snippet

Our objective is to identify and map individuals of nine tree species in a Hawaiian lowland tropical forest by comparing the performance of a variety of semi-supervised classifiers. A method was adapted to process hyperspectral imagery, LiDAR intensity variables, and …
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