Technical Program: Paper Detail || IEEE IGARSS 2023 || Pasadena, California, USA || 16

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

Session:

FR3.R9: New Development in UAV-Based Systems Oral

Location:

Room 103

Presentation Time:

Fri, 21 Jul, 13:36 - 13:48 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

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