FR2.R14.1: ADAPTATION OF DECODED SENTINEL-1 SAR RAW DATA FOR THE ASSESSMENT OF NOVEL DATA COMPRESSION METHODS
Reza Mohammadi Asiyabi, Andrei Anghel, National University of Science and Technology POLITEHNICA of Bucharest, Romania; Adrian Focsa, Military Technical Academy Ferdinand I, Romania; Mihai Datcu, National University of Science and Technology POLITEHNICA of Bucharest, Romania; Michele Martone, Paola Rozzoli, German Aerospace Center (DLR), Germany; Ernesto Imbembo, European Space Agency, ESA/ESTEC, Netherlands
FR2.R14.2: RAW SAR DATA COMPRESSION WITH DEEP LEARNING
Georgios Pilikos, Mario Azcueta, Roberto Camarero, Nicolas Floury, European Space Agency (ESA), Netherlands
FR2.R14.3: RAW DATA COMPRESSION EXPLOITING MODEL-BASED APPROACHES AND ARTIFICIAL INTELLIGENCE FOR PRESENT AND NEXT-GENERATION SAR SYSTEMS
Michele Martone, Nicola Gollin, Paola Rizzoli, German Aerospace Center (DLR), Germany; Max Ghiglione, Ernesto Imbembo, European Space Agency (ESA), Netherlands; Gerhard Krieger, German Aerospace Center (DLR), Germany
FR2.R14.4: ON-BOARD MULTISPECTRAL IMAGE COMPRESSION WITH AN ARTIFICIAL INTELLIGENCE BASED ALGORITHM
Giorgia Guerrisi, Gianmarco Bencivenni, Giovanni Schiavon, Fabio Del Frate, Tor Vergata University of Rome, Italy
FR2.R14.5: HARDWARE-ENABLED COMPRESSED SENSING METHOD FOR ULTRASONIC IMAGES IN LOGGING WHILE DRILLING
Qiang Feng, Zhipeng Li, Yibing Shi, Yanjun Li, Wei Zhang, University of Electronic Science and Technology of China, China
FR2.R14.6: 3D-HYBRID CONVOLUTIONAL AUTOENCODER MODEL FOR HYPERSPECTRAL SATELLITE DATA COMPRESSION
Jannick Kuester, Wolfgang Gross, Andreas Michel, Simon Schreiner, Wolfgang Middelmann, Fraunhofer IOSB, Germany; Michael Heizmann, Karlsruher Institut für Technologie, Germany
FR2.R14.7: PULSE COMPRESSION BASED ON LEARNABLE MATCHED FILTERING
Yvyang Gao, Ganggang Dong, National key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China, China
