TU3.R13.1: ASSESSMENT OF DEEP LEARNING BASED SOLUTIONS FOR SAR IMAGE DESPECKLING
Luis Gomez, University of Gran Canaria, Las Palmas, Spain, Spain; Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio, University Parthenope of Naples, Italy
TU3.R13.2: INTERFEROMETRIC PHASE RESTORATION FOR NON-COMMON BAND IMAGING VIA A PHYSICS-AWARE SPECTRUM FUSION NETWORK
Xiangdong Ma, Xiaoling Zhang, Xu Zhan, Yu Ren, Jun Shi, Shunjun Wei, Tianjiao Zeng, University of Electronic Science and Technology of China, China
TU3.R13.4: DESPECKLING OF DUAL-POL GRD SENTINEL-1 IMAGES IN EXTRA-WIDE MODE BY DEEP LEARNING
Ines Meraoumia, Télécom Paris, Institut Polytechnique de Paris, France; Debanshu Ratha, UiT The Arctic University of Norway, Norway; Emanuele Dalsasso, Conservatoire National des Arts et Métiers, France; Loïc Denis, Univ Lyon, UJM-Saint-Etienne, CNRS, Institut d’Optique Graduate School, Laboratoire Hubert Curien UMR 5516, France; Florence Tupin, Télécom Paris, Institut Polytechnique de Paris, France; Andrea Marinoni, UiT The Arctic University of Norway, Norway
TU3.R13.5: A COST-SENSITIVE APPROACH TO DIMENSIONALITY REDUCTION FOR MULTISPECTRAL IMAGERY
Benjamin Brodie, BlueHalo, United States; Srikumar Sastry, Washington University in St. Louis, United States; Jacob Birge, University of Kentucky, United States; Robert Pless, George Washington University, United States; Nathan Jacobs, Washington University in St. Louis, United States