MO3.R1.3

A Transformer-based optronic neural network for SAR target recognition

Zicheng Huang, Fengyuan Hu, Lingyu Wang, Jiahui Ma, Jia Fu, Yesheng Gao, Xingzhao Liu, Shanghai Jiaotong University, China
Session:
MO3.R1: Object Detection and Recognition VI Oral
Track:
Data Analysis
Location:
Trianti
Presentation Time:
Mon, 8 Jul, 14:08 - 14:22
Session Co-Chairs:
Al Adil Al Hinai, University of Surrey and Rafaella Guida, University of Surrey
Presentation
Discussion
Resources
No resources available.
Session MO3.R1
MO3.R1.1: FEW-SHOT CLASS-INCREMENTAL SAR TARGET RECOGNITION VIA DECOUPLED SCATTERING AUGMENTATION CLASSIFIER
Yan Zhao, Lingjun Zhao, Siqian Zhang, Kefeng Ji, Gangyao Kuang, National University of Defense Technology, China
MO3.R1.2: Speckle-based residual Optronic convolutional neural network for SAR target recognition in scattering imaging scenarios
Zicheng Huang, Fengyuan Hu, Lingyu Wang, Guozheng Xu, Mengyang Shi, Yesheng Gao, Xingzhao Liu, Shanghai Jiaotong University, China
MO3.R1.3: A Transformer-based optronic neural network for SAR target recognition
Zicheng Huang, Fengyuan Hu, Lingyu Wang, Jiahui Ma, Jia Fu, Yesheng Gao, Xingzhao Liu, Shanghai Jiaotong University, China
MO3.R1.4: ON FEASIBILITY OF CROSS-SATELLITE SAR SHIP RE-IDENTIFICATION
Jialu Li, Haitao Lang, Beijing University of Chemical Technology, China
MO3.R1.5: ADVANCING CONTROLLABLE DIFFUSION MODEL FOR FEW-SHOT OBJECT DETECTION IN OPTICAL REMOTE SENSING IMAGERY
Tong Zhang, Yin Zhuang, Xinyi Zhang, Beijing Institute of Technology, China; Guanqun Wang, Peking University, China; He Chen, Beijing Institute of Technology, China; Fukun Bi, North China University of Technology, China
MO3.R1.6: UNCERTAINTY ESTIMATION IN BAYESIAN CONVOLUTIONAL NEURAL NETWORKS FOR SAR SHIP CLASSIFICATION
Al Adil Al Hinai, Rafaella Guida, University of Surrey, United Kingdom
MO3.R1.7: MIMO Radar Joint Waveform Optimization and Array Weights Joint Design for Multipath Suppression in Indoor Vital Sign Detection
Yizhen Jia, Zishuo Wang, Cong Yang, Mengmeng He, Wenqin Wang, University of Electronic Science and Technology of China, China
Resources
No resources available.