Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery

Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery

Among different forest inventory problems, one of the most basic is defining dominant species. These data are crucial in forest management to determine forest category, and a cheaper remote sensing-based approach would be a useful supplement to field surveys. We used WorldView multispectral satellit...

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Bibliographic Details
Main Authors: Svetlana Illarionova, Alexey Trekin, Vladimir Ignatiev, Ivan Oseledets
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
forest species classification
remote sensing
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/9311828/

Internet

https://ieeexplore.ieee.org/document/9311828/

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