发明授权
- 专利标题: Moving target focusing method and system based on generative adversarial network
-
申请号: US17989453申请日: 2022-11-17
-
公开(公告)号: US12051211B2公开(公告)日: 2024-07-30
- 发明人: Jiang Qian , Haitao Lyu , Junzheng Jiang , Minfeng Xing
- 申请人: University of Electronic Science and Technology of China , Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
- 申请人地址: CN Chengdu
- 专利权人: University of Electronic Science and Technology of China,Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
- 当前专利权人: University of Electronic Science and Technology of China,Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
- 当前专利权人地址: CN Chengdu; CN Huzhou
- 代理商 Zhigang Ma
- 优先权: CN 2111398967.6 2021.11.19
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06T7/20
摘要:
A moving target focusing method and system based on a generative adversarial network are provided. The method includes: generating, using a Range Doppler algorithm, a two-dimensional image including at least one defocused moving target, as a training sample; generating at least one ideal Gaussian point in a position of at least one center of the at least one defocused moving target in the two-dimensional image, to generate a training label; constructing the generative adversarial network, the generative adversarial network includes a generative network and a discrimination network; inputting the training sample and the training label into the generative adversarial network to perform repeated training until an output of the generative network reaches a preset condition, to thereby obtain a trained network model; and inputting a testing sample into the trained network model, to output a moving target focused image.
公开/授权文献
信息查询