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Open set classification of Hyperspectral images with energy models

Published:2023-12-12 Issue:24 Volume:44 Page:7876-7888
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Alwadei Bashair¹,Lamine Mekhalfi Mohamed²,Bazi Yakoub¹^ORCID,M Al Rahhal Mohamad³,Zuair Mansour¹

Affiliation:

1. Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

2. Digital Industry Centre, Technologies of Vision Unit, Trento, Italy

3. Applied Computer Science Department, College of Applied Computer Science, King Saud University, Riyadh, Saudi Arabia

Funder

King Saud University, Riyadh, Saudi Arabia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2288950

Reference30 articles.

1. Principal component analysis

2. Fusion of supervised and unsupervised learning for improved classification of hyperspectral images

3. Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images

4. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

5. Deep Learning-Based Classification of Hyperspectral Data

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Hyper-Spectral Image Classification with Reinforcement Learning and Advanced Multi-Objective Binary Grey Wolf Optimization;Computers, Materials & Continua;2024

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