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Quantum Machine Learning for Remote Sensing: Exploring potential and challenges
In this paper, we investigate the application of QML in the field of remote sensing.
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels
In this work, we consider extending classic SVMs with quantum kernels and applying them to satellite data analysis.
Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images
The optimization of Kernel-Target Alignment (TA) has been recently proposed as a way to reduce the number of hardware resources in quantum classifiers.
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines
In this work, we consider extending classical SVMs with quantum kernels and applying them to satellite data analysis.
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