A vegetation classification method based on improved dual-way branch feature fusion U-net

A vegetation classification method based on improved dual-way branch feature fusion U-net

Aiming at the problems of complex structure parameters and low feature extraction ability of U-Net used in vegetation classification, a deep network with improved U-Net and dual-way branch input is proposed. Firstly, The principal component analysis (PCA) is used to reduce the dimension of hyperspec...

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Bibliographic Details
Main Authors: Huiling Yu, Dapeng Jiang, Xiwen Peng, Yizhuo Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Plant Science
Subjects:
vegetation classification
hyperspectral image
feature fusion
U-net
two-way branch network
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.1047091/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.1047091/full

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