Comparing Interpretation of High-Resolution Aerial Imagery by Humans and Artificial Intelligence to Detect an Invasive Tree Species

Comparing Interpretation of High-Resolution Aerial Imagery by Humans and Artificial Intelligence to Detect an Invasive Tree Species

Timely, accurate maps of invasive plant species are critical for making appropriate management decisions to eliminate emerging target populations or contain infestations. High-resolution aerial imagery is routinely used to map, monitor, and detect invasive plant populations. While conventional image...

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Bibliographic Details
Main Authors: Roberto Rodriguez, Ryan L. Perroy, James Leary, Daniel Jenkins, Max Panoff, Travis Mandel, Patricia Perez
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
deep neural network
unmanned aircraft system
aerial imagery
invasive species
performance evaluation
machine learning
Online Access:https://www.mdpi.com/2072-4292/13/17/3503

Internet

https://www.mdpi.com/2072-4292/13/17/3503

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