Hyper Spectral Spatial Image Segmentation Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Hyper Spectral Spatial Image Segmentation Using Machine Learning Algorithms

Published:2023-12-18 Issue: Volume:9 Page:458-462
ISSN:
Container-title:2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM)
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Author:

G Saravanan¹,A Suresh²,J Jagannathan³,L Thanga Mariappan³,Majeeth Najeem Dheen Abdul⁴,Kumar Nithish³

Affiliation:

1. Veltech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology,Department of Computer Science and Engineering,Tamilnadu,India

2. Vellore Institute of Technology,School of Computer Science and Engineering,Vellore,Tamilnadu,India

3. Vellore Institute of Technology,School of Computer Science Engineering and Information Systems,Vellore,Tamilnadu,India

4. Saveetha Engineering College,Department of Artificial Intelligence and Machine Learning,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434934/10434939/10434969.pdf?arnumber=10434969

Reference20 articles.

1. Graphics processing unit–accelerated computation of the Markov random fields and loopy belief propagation algorithms for hyperspectral image classification

2. Spectral–Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning

3. Metric learning for hyperspectral image segmentation

4. Multistage DPIRef-Net: An effective network for semantic segmentation of arteries and veins from retinal surface

5. Band-Subset-Based Clustering and Fusion for Hyperspectral Imagery Classification

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