Exploiting Hyperspectral Imaging and Optimal Deep Learning for Crop Type Detection and Classification

Exploiting Hyperspectral Imaging and Optimal Deep Learning for Crop Type Detection and Classification

Hyperspectral imaging (HSI) plays a major role in agricultural remote sensing applications. Its data unit is the hyperspectral cube that contains spatial data in 2D but spectral band data of all the pixels in 3D. The classification accuracy of HSI was significantly enhanced by deploying either spati...

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Bibliographic Details
Main Authors: Masoud Alajmi, Hanan Abdullah Mengash, Majdy M. Eltahir, Mohammed Assiri, Sara Saadeldeen Ibrahim, Ahmed S. Salama
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Hyperspectral imaging
convolutional neural network
crop classification
agriculture
parameter tuning
Online Access:https://ieeexplore.ieee.org/document/10310192/

Internet

https://ieeexplore.ieee.org/document/10310192/

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