Leveraging Hyperspectral Remote Sensing Imaging for Agricultural Crop Classification Using Coot Bird Optimization With Entropy-Based Feature Fusion Model

Leveraging Hyperspectral Remote Sensing Imaging for Agricultural Crop Classification Using Coot Bird Optimization With Entropy-Based Feature Fusion Model

Hyperspectral remote sensing (HSRS) or imaging spectroscopy is a novel method for obtaining a spectrum in every place of a massive array of spatial locations towards many spectral wavelengths that can be employed to make coherent images. HSRS comprises acquisition of digital images in many narrow, c...

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Bibliographic Details
Main Authors: Ibrahim M. Mehedi, Muhammad Bilal, Muhammad Shehzad Hanif, Thangam Palaniswamy, Mahendiran T. Vellingiri
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Remote sensing
deep learning
coot bird optimization
entropy-based fusion process
agricultural crop classification
Online Access:https://ieeexplore.ieee.org/document/10679136/

Internet

https://ieeexplore.ieee.org/document/10679136/

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