Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation

Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation

Spectral analysis is a widely used method for monitoring photosynthetic capacity. However, vegetation indices-based linear regression exhibits insufficient utilization of spectral information, while full spectra-based traditional machine learning has limited representational capacity (partial least...

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Bibliographic Details
Main Authors: Xianzhi Deng, Xiaolong Hu, Liangsheng Shi, Chenye Su, Jinmin Li, Shuai Du, Shenji Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Plant Science
Subjects:
hyperspectral data
spectral sensitive band
vegetation index
photosynthetic capacity
deep learning
power compression
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1499875/full
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