A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification

A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification

In recent years, the development of quantum annealers has enabled experimental demonstrations and has increased research interest in applications of quantum annealing, such as in quantum machine learning and in particular for the popular quantum support vector machine (SVM). Several versions of the...

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Bibliographic Details
Main Authors: Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Classification
quantum annealing (QA)
quantum computing (QC)
remote sensing (RS)
support vector machine (SVM)
Online Access:https://ieeexplore.ieee.org/document/10329968/

Internet

https://ieeexplore.ieee.org/document/10329968/

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