TU3.R10.1: QUANTUM REINFORCEMENT LEARNING FOR COGNITIVE SAR
Jan Meyer, Kay Glatting, Sigurd Huber, Gerhard Krieger, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Germany
TU3.R10.2: UTILITY OF QUANTUM KERNEL MACHINES IN REMOTE SENSING APPLICATIONS
Artur Miroszewski, Jagiellonian University, Poland; Bertrand Le Saux, Nicolas Longépé, European Space Agency, Italy; Jakub Nalepa, Silesian University of Technology/KP Labs, Poland
TU3.R10.3: QUANTUM ALGORITHM FOR THE ANALYSIS OF TEMPORAL SEQUENCES OF SATELLITE IMAGES
Henri Painchart, Matthijs van Waveren, Brice Mora, Guillaume Pasero, CS GROUP, France
TU3.R10.4: Wildfire Segmentation from remotely sensed data using quantum-compatible conditional Vector Quantized-Variational Autoencoders
Ata Akbari Asanjan, Lucas Brady, Nishchay Suri, Zoe Gonzalez Izquierdo, Aaron Lott, Shon Grabbe, Eleanor Rieffel, NASA Ames, United States
TU3.R10.5: BINARY CLASSIFICATION OF REMOTELY SENSED IMAGES USING SVD BASED GLCM FEATURES IN QUANTUM FRAMEWORK
Archana Pai, Krishna Buddhiraju, Surya Durbha, Indian Institute of Technology Bombay, India
TU3.R10.6: A HYBRID MLP-QUANTUM APPROACH IN GRAPH CONVOLUTIONAL NEURAL NETWORKS FOR OCEANIC NINO INDEX (ONI) PREDICTION
Francesco Mauro, University of Sannio, Italy; Alessandro Sebastianelli, Bertrand Le Saux, European Space Agency, Italy; Paolo Gamba, University of Pavia, Italy; Silvia Liberata Ullo, University of Sannio, Italy
TU3.R10.7: DETECTION OF BARE SOIL IN HYPERSPECTRAL IMAGES USING QUANTUM-KERNEL SUPPORT VECTOR MACHINES
Agata M. Wijata, KP Labs / Silesian University of Technology, Poland; Artur Miroszewski, Jagiellonian University, Poland; Bertrand Le Saux, Nicolas Longépé, European Space Agency, Italy; Bogdan Ruszczak, KP Labs, Poland; Jakub Nalepa, KP Labs / Silesian University of Technology, Poland
