TU2.R11.1: HYPER-SPECTRAL IMAGE CLASSIFICATION USING ADIABATIC QUANTUM COMPUTATION
Bartlomiej Gardas, Przemysław Glomb, Przemysław Sadowski, Zbigniew Puchala, Konrad Jalowiecki, Łukasz Pawela, Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Poland; Orphée Faucoz, Pierre-Marie Brunet, Centre National d'Études Spatiales, France; Piotr Gawron, AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Poland; Matthijs van Waveren, Mickaël Savinaud, Guillaume Pasero, Veronique Defonte, CS GROUP, France
TU2.R11.2: MULTICLASS LAND USE / LAND COVER (LULC) CLASSIFICATION USING QUANTUM ENHANCED MACHINE LEARNING ALGORITHMS
Manuel Fernandez-Urrutia, Emil Dimitrov, Venkatesh Kannan, Irish Centre for High End Computing, Ireland
TU2.R11.3: Quantum-Assisted Variational Segmentation for Image-to-Image Wildfire Detection Using Satellite Data
Ata Akbari Asanjan, Lucas Brady, Zoe Gonzalez Izquierdo, P. Aaron Lott, Milad Memarzadeh, Nishchay Suri, NASA Ames Research Center, United States; David Bell, Universities Space Research Association, United States; Eleanor Rieffel, Shon Grabbe, NASA Ames Research Center, United States
TU2.R11.4: QUANTUM OPTIMIZATION FOR PHASE UNWRAPPING IN SAR INTERFEROMETRY
Kay Glatting, Jan Meyer, Sigurd Huber, Gerhard Krieger, German Aerospace Center (DLR), Germany
TU2.R11.5: REMOVING SOLAR BACKGROUND NOISE FROM LIDAR IMAGE USING DEEP LEARNING THROUGH QUANTUM RESERVOIR COMPUTING
Yongxiang Hu, NASA Langley Research Center, United States; Prajnesh Kumar, Quantum Computing Inc, United States; Yuping Huang, Quantum Computing Inc and Stevens Institute of Tech, United States
