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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Principais autores:	Ibrahim M. Mehedi, Muhammad Bilal, Muhammad Shehzad Hanif, Thangam Palaniswamy, Mahendiran T. Vellingiri
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2024-01-01
coleção:	IEEE Access
Assuntos:	Remote sensing deep learning coot bird optimization entropy-based fusion process agricultural crop classification
Acesso em linha:	https://ieeexplore.ieee.org/document/10679136/
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