Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar data

Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar data

Airborne remote sensing offers unprecedented opportunities to efficiently monitor vegetation, but methods to delineate and classify individual plant species using the collected data are still actively being developed and improved. The Integrating Data science with Trees and Remote Sensing (IDTReeS)...

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Bibliographic Details
Main Authors: Victoria M. Scholl, Joseph McGlinchy, Teo Price-Broncucia, Jennifer K. Balch, Maxwell B. Joseph
Format: Article
Language:English
Published: PeerJ Inc. 2021-07-01
Series:PeerJ
Subjects:
Machine learning
Deep learning
Species classification
Remote sensing
Airborne remote sensing
National Ecological Observatory Network
Online Access:https://peerj.com/articles/11790.pdf

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https://peerj.com/articles/11790.pdf

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