Invention Grant
- Patent Title: Moving target focusing method and system based on generative adversarial network
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Application No.: US17989453Application Date: 2022-11-17
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Publication No.: US12051211B2Publication Date: 2024-07-30
- Inventor: Jiang Qian , Haitao Lyu , Junzheng Jiang , Minfeng Xing
- Applicant: University of Electronic Science and Technology of China , Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
- Applicant Address: CN Chengdu
- Assignee: University of Electronic Science and Technology of China,Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
- Current Assignee: University of Electronic Science and Technology of China,Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
- Current Assignee Address: CN Chengdu; CN Huzhou
- Agent Zhigang Ma
- Priority: CN 2111398967.6 2021.11.19
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/20

Abstract:
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.
Public/Granted literature
- US20230162373A1 MOVING TARGET FOCUSING METHOD AND SYSTEM BASED ON GENERATIVE ADVERSARIAL NETWORK Public/Granted day:2023-05-25
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