Slide Fifth
Slide Second
Slide Fourth
Slide Sixth
Slide Sixth
International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH2.MM-12.7

A BEAM POSITION DESIGN ALGORITHM FOR SPACE-BASED EARLY WARNING RADAR

Jiangyuan Chen, Penghui Huang, Shanghai Jiao Tong University, China; Lihuan Huo, The 54th Research Institute of CETC, China; Dong Yang, Shaoqian Li, Fengwei Shao, Institute of Space Electronics and Information Technology, China; Xingzhao Liu, Shanghai Jiao Tong University, China
Session:
Target Detection in Radar Imagery
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Thu, 15 Jul, 11:30-11:35 (UTC)
Thu, 15 Jul, 13:30-13:35 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 19:30-19:35 China Standard Time (UTC +8)
Thu, 15 Jul, 07:30-07:35 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Zhihang Wang, University of Electronic Science and Technology of China and Giovanni Manfredi, SONDRA, CentraleSupélec, Université Paris Saclay
Session Manager:
Laurens Diels
Presentation
Discussion
Resources
Session TH2.MM-12
TH2.MM-12.1: A SUPERPIXEL-BASED NEIGHBORHOOD POLARIMETRIC COVARIANCE MATRIX FOR POLSAR SHIP DETECTION
Tao Zhang, Tsinghua University, China; Jun Shu, Huaihua University, China; Chengtao Ji, University of Groningen, China; Yanlei Du, Tsinghua University, China; Tao Liu, Naval University of Engineering, China; Jian Yang, Tsinghua University, China
TH2.MM-12.2: CLASSIFICATION IN L-BAND OF PHYSICAL ACTIVITIES PERFORMED SIMULTANEOUSLY INTO THE FOREST BY A GROUP OF PERSONS
Giovanni Manfredi, Israel Hinostroza, SONDRA, CentraleSupélec, Université Paris Saclay, France; Michel Menelle, Stephane Saillant, Jean Philippe Ovarlez, ONERA, Université Paris-Saclay, France; Laétitia Thirion-Lefevre, SONDRA, CentraleSupélec, Université Paris Saclay, France
TH2.MM-12.3: PERSYMMETRIC ADAPTIVE CFAR DETECTOR IN COMPOUND GAUSSIAN SEA CLUTTER WITH INVERSE GAUSSIAN TEXTURE
Zhihang Wang, Zishu He, Qin He, Xiaoying Lu, University of Electronic Science and Technology of China, China
TH2.MM-12.4: MOVING TARGET DETECTION FOR SINGLE-CHANNEL CSAR BASED ON DEEP NEURAL NETWORK
Xiaobo Zhang, Di Wu, Xifeng Zhang, Qinghao Yu, Daiyin Zhu, Nanjing University of Aeronautics and Astronautics, China
TH2.MM-12.5: DESIGNING WAVEFORM WITH DESIRED AUTOCORRELATION PROPERTIES FOR COGNITIVE RADAR TARGET DETECTION
Cui Zhang, Jifang Pei, Yin Zhang, Weibo Huo, Yulin Huang, Jianyu Yang, University of Electronic Science and Technology of China, China; Zhiwei Xing, Civil Aviation University of China, China
TH2.MM-12.6: ADAPTIVE NULL OPTIMIZATION METHOD BASED ON FREQUENCY DIVERSE ARRAY
Siqi Li, Zhulin Zong, Libing Huang, Yun Feng, University of Electronic Science and Technology of China, China
TH2.MM-12.7: A BEAM POSITION DESIGN ALGORITHM FOR SPACE-BASED EARLY WARNING RADAR
Jiangyuan Chen, Penghui Huang, Shanghai Jiao Tong University, China; Lihuan Huo, The 54th Research Institute of CETC, China; Dong Yang, Shaoqian Li, Fengwei Shao, Institute of Space Electronics and Information Technology, China; Xingzhao Liu, Shanghai Jiao Tong University, China
TH2.MM-12.8: GROUND MOVING TARGET INDICATION OF MULTI-CHANNEL SAR BASED ON JOINT CSI-RELAX METHOD
Beibei Ge, Daoxiang An, Leping Chen, Dong Feng, National University of Defence Technology, China; Wu Wang, Aerodynamics Research and Development Center, China; Changjiang Liu, Unit 31697 of PLA, China; Zhimin Zhou, National University of Defence Technology, China
TH2.MM-12.9: A MAN-MADE TARGET DETECTION METHOD BASED ON MULTI-ANGULAR PHASE CHARACTERISTIC
Fei Teng, University of Chinese Academy of Sciences, China; Yun Lin, North China University of Technology, China; Shanshan Feng, University of Chinese Academy of Sciences, China; Wen Hong, Chinese Academy of Sciences, China
TH2.MM-12.10: ADAPTIVE CFAR RAO AND WALD DETECTORS FOR COMPOUND GAUSSIAN SEA CLUTTER WITH INVERSE GAUSSIAN TEXTURE
Zhihang Wang, Zishu He, Qin He, Yangjingzhi Zhuang, University of Electronic Science and Technology of China, China

Quicklinks

Downloads

Programme guide