3-D–2-D Hybrid Lightweight CNN Model: Enhancing Canopy Feature Retrieval in Hyperspectral Imaging for Accurate Plant Species Classification

3-D–2-D Hybrid Lightweight CNN Model: Enhancing Canopy Feature Retrieval in Hyperspectral Imaging for Accurate Plant Species Classification

Plant species recognition is essential for effective resource and environmental management, making it a key area of research in remote sensing. Deep learning (DL), particularly convolutional neural networks (CNNs), has been widely used to identify images of plant organs and canopies from various sen...

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Bibliographic Details
Main Authors: Chinsu Lin, Hung-Yi Chien, Keng-Hao Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
deep learning (DL)
forest biodiversity
forest inventory
leaf feature recognition
phenology detection
Online Access:https://ieeexplore.ieee.org/document/11014586/
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https://ieeexplore.ieee.org/document/11014586/

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