Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines
Author:
Affiliation:
1. Institute of Theoretical Physics, Jagiellonian University, Cracow, Poland
2. KP Labs, Gliwice, Poland
3. European Space Agency Φ-Lab, Frascati, Italy
Funder
European Space Agency
ESA Φ-lab AI-enhanced Quantum Computing for Earth Observation
Priority Research Area Digiworld
Excellence Initiative - Research University at the Jagiellonian University in Kraków
Silesian University of Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10214376.pdf?arnumber=10214376
Reference47 articles.
1. Quanvolutional neural networks: powering image recognition with quantum circuits
2. An overview of kernel alignment and its applications
3. Quantum convolutional neural networks
4. On Kernel Target Alignment
5. Multilevel Cloud Detection in Remote Sensing Images Based on Deep Learning
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