FR3.R9.3

A FAST IMAGING METHOD BASED ON SPECTRUM FUSION FOR HIGH FRAME RATE UAV SWARM SAR

Xinyu Mao, Zhongyu Li, Zhihao Fang, Yu Yang, Junjie Wu, Jianyu Yang, School of Information and Communication Engineering, University of Electronic Science and Technology of China, China
Session:
FR3.R9: New Development in UAV-Based Systems Oral
Track:
Mission, Sensors and Calibration
Location:
Room 103
Presentation Time:
Fri, 21 Jul, 13:24 - 13:36 Pacific Time (UTC -8)
Session Co-Chairs:
Joan Francesc Munoz-Martin, Jet Propulsion Laboratory / California Institute of Technology and Adrian Perez, JPL
Session Manager:
Nandini Saini
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Session FR3.R9
FR3.R9.1: GPU-ACCELERATED CROSS-MODAL SAR-EO IMAGE HOMOGRAPHY ESTIMATION
Christopher Beam, Andrew Willis, University of North Carolina at Charlotte, United States; Garrett Demeyer, Kevin Brink, Air Force Research Laboratory, United States
FR3.R9.2: A NEW MULTISPECTRAL VNIR/SWIR IMAGING SYSTEM FOR UAVS TO MONITOR CROP TRAITS
Alexander Jenal, University of Applied Sciences Koblenz, Germany; Christoph Hütt, Andreas Bolten, University of Cologne, Germany; Hubert Hüging, Bonn University, Germany; Jens Bongartz, University of Applied Sciences Koblenz, Germany; Georg Bareth, University of Cologne, Germany
FR3.R9.3: A FAST IMAGING METHOD BASED ON SPECTRUM FUSION FOR HIGH FRAME RATE UAV SWARM SAR
Xinyu Mao, Zhongyu Li, Zhihao Fang, Yu Yang, Junjie Wu, Jianyu Yang, School of Information and Communication Engineering, University of Electronic Science and Technology of China, China
FR3.R9.4: AN ULTRA-SMALL REAL-TIME IMAGING SYSTEM FOR UAV BORNE SAR
Jiameng Qu, Manlai Ding, Bingnan Wang, Liangjiang Zhou, Yinshen Wang, Li Tang, Xuemei Wang, Aerospace Information Research Institute, Chinese Academy of Sciences, China
FR3.R9.5: MIMO RADAR TRANSMIT BEAMPATTERN DESIGN BASED ON NEURAL NETWORK UNDER SIMILARITY AND CONSTANT MODULUS CONSTRAINTS
Jing Lv, Cui Zhang, Jifang Pei, Weibo Huo, Yin Zhang, Yulin Huang, University of Electronic Science and Technology of China, China
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