Multiscale Feature-Learning with a Unified Model for Hyperspectral Image Classification

Multiscale Feature-Learning with a Unified Model for Hyperspectral Image Classification

In the realm of hyperspectral image classification, the pursuit of heightened accuracy and comprehensive feature extraction has led to the formulation of an advance architectural paradigm. This study proposed a model encapsulated within the framework of a unified model, which synergistically leverag...

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Bibliographic Details
Main Authors: Tahir Arshad, Junping Zhang, Inam Ullah, Yazeed Yasin Ghadi, Osama Alfarraj, Amr Gafar
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
feature extraction
multiscale features
deep learning models
hyperspectral image classification
convolutional neural network
swin transformer
Online Access:https://www.mdpi.com/1424-8220/23/17/7628

Internet

https://www.mdpi.com/1424-8220/23/17/7628

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