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Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels.

, , , , , , and . IGARSS, page 796-799. IEEE, (2023)

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Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines., , , , , , and . CoRR, (2023)Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images., , , , , , and . IGARSS, page 792-795. IEEE, (2023)Towards Robust Cloud Detection in Satellite Images Using U-Nets., , , and . IGARSS, page 4099-4102. IEEE, (2021)Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation., , , , , and . ICIAP (1), volume 13231 of Lecture Notes in Computer Science, page 391-403. Springer, (2022)Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions?, , , , , , and . IGARSS, page 239-242. IEEE, (2022)Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels., , , , , , and . IGARSS, page 796-799. IEEE, (2023)Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering., , , and . ACIIDS (Companion), volume 1716 of Communications in Computer and Information Science, page 102-121. Springer, (2022)