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Filtering by: Committee Member Bailey, John D. Date issued sim 2018-05-25

Classification strategies for unbalanced binary maps : finding Ponderosa pine in the Willamette Valley

Creator:

Riddell, Audrey P.

Abstract:

Forest species classifications are becoming increasingly automated as advances are made in machine learning. The algorithms used to identify tree species range from simple decision trees to intricate neural networks, and often excel in accurately delineating tree species. However, complex algorithms can have high input costs, including the cost of...

Resource Type:

Masters Thesis