Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

Remote sensing can transform the speed, scale, and cost of biodiversity and forestry surveys. Data acquisition currently outpaces the ability to identify individual organisms in high resolution imagery. We outline an approach for identifying tree-crowns in RGB imagery while using a semi-supervised d...

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Bibliographic Details
Main Authors: Ben G. Weinstein, Sergio Marconi, Stephanie Bohlman, Alina Zare, Ethan White
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Remote Sensing
Subjects:
Deep Learning
Trees
Detection
Remote Sensing
LIDAR
RGB
NEON
Online Access:https://www.mdpi.com/2072-4292/11/11/1309

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