Enhancing Precision Agriculture and Land Cover Classification: A Self-Attention 3D Convolutional Neural Network Approach for Hyperspectral Image Analysis

Hyperspectral imagery, capturing information beyond the visible spectrum, is essential for many remote sensing applications. This paper introduces a novel approach utilizing a 3D Convolutional Neural Network (CNN) enhanced with self-attention mechanism to address the limitations of traditional archi...

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Autors principals:	C. Kishor Kumar Reddy, Advaitha Daduvy, R. Madana Mohana, Basem Assiri, Mohammed Shuaib, Shadab Alam, and M. Abdullah Sheneamer
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Deep learning hyperspectral image classification remote sensing precision agriculture
Accés en línia:	https://ieeexplore.ieee.org/document/10574813/
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