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3-D2-D Hybrid Lightweight CNN Model Enhancing Canopy Feature Retrieval in Hyperspectral Imaging For Accurate Plant Species Classification by Joseph Franklin is a document available to read on EtoBox.

What is 3-D2-D Hybrid Lightweight CNN Model Enhancing Canopy Feature Retrieval in Hyperspectral Imaging For Accurate Plant Species Classification about?

The document presents a novel 3-D–2-D hybrid lightweight CNN model, named Hybrid-LtCNN, designed to enhance canopy feature retrieval in hyperspectral imaging for improved plant species classification. This model addresses challenges such as overfitting and computational burden while achieving a macro F1-score of 0.9935, outperforming existing deep learning models. The study emphasizes the importance of utilizing both spectral and spatial information to effectively distinguish between plant species, particul

Author

Joseph Franklin

Language

EN