학술논문

Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery.
Document Type
Article
Source
Remote Sensing in Ecology & Conservation; Dec2020, Vol. 6 Issue 4, p472-486, 15p
Subject
CONVOLUTIONAL neural networks
PLANT species
DRONE aircraft
PLANT communities
GROUND cover plants
BIOLOGICAL invasions
REMOTELY piloted vehicles
Language
ISSN
20563485
Abstract
Copyright of Remote Sensing in Ecology & Conservation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)