An End-to-End Framework for the Classification of Hyperspectral Images in the Wood Domain-Reference-Cited by-同舟云学术

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An End-to-End Framework for the Classification of Hyperspectral Images in the Wood Domain

Published:2024 Issue: Volume:12 Page:38908-38916
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Confalonieri Roberto¹^ORCID,Htun Phyu Phyu²^ORCID,Sun Boyuan³,Tillo Tammam⁴

Affiliation:

1. Department of Mathematics, University of Padua, Padua, Italy

2. University of Computer Studies at Yangon, Yangon, Myanmar

3. Nantong Academy of Intelligent Sensing, Nantong, China

4. Indraprastha Institute of Information Technology, New Delhi, Delhi, India

Funder

European Regional Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10466563.pdf?arnumber=10466563

Reference30 articles.

1. Techniques and Applications of Hyperspectral Image Analysis

2. Classification of hyperspectral remote sensing images with support vector machines

3. Kernel-based methods for hyperspectral image classification

4. Hyperspectral Image Classification Using Support Vector Machine in Ridgelet Domain

5. Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning Machine

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