A multi-scale spatial-frequency double branch network for terahertz ISAR image target classificationOA
A multi-scale spatial-frequency double branch network for terahertz ISAR image target classification
Qiuyan Wang;Wanting Chen;Yinwei Li;Jixiang Fu;Hongqiang Wang;Yiming Zhu;Mengdao Xing
Terahertz Technology Innovation Research Institute,Terahertz Spectrum and Imaging Technology Cooperative Innovation Center,University of Shanghai for Science and Technology,Shanghai,200093,ChinaTerahertz Technology Innovation Research Institute,Terahertz Spectrum and Imaging Technology Cooperative Innovation Center,University of Shanghai for Science and Technology,Shanghai,200093,ChinaTerahertz Technology Innovation Research Institute,Terahertz Spectrum and Imaging Technology Cooperative Innovation Center,University of Shanghai for Science and Technology,Shanghai,200093,China||Shanghai Institute of Intelligent Science and Technology,Tongji University,Shanghai,200092,China||School of Intelligent Emergency Management,University of Shanghai for Science and Technology,Shanghai,200093,ChinaSchool of Information Mechanics and Sensing Engineering,Xidian University,Xi'an,710071,ChinaCollege of Electronic Science and Technology,National University of Defense Technology,Changsha,410073,ChinaTerahertz Technology Innovation Research Institute,Terahertz Spectrum and Imaging Technology Cooperative Innovation Center,University of Shanghai for Science and Technology,Shanghai,200093,ChinaNational Laboratory of Radar Signal Processing,Xidian University,Xi'an,710071,China
Deep learningFrequency domain awareMultiscale featureTerahertz inverse synthetic aperture radar(ISAR)Target classification
Deep learningFrequency domain awareMultiscale featureTerahertz inverse synthetic aperture radar(ISAR)Target classification
《防务技术》 2026 (6)
79-90,12
This work was supported in part by the National Natural Sci-ence Foundation of China under Grant No.62588201,in part by the Artificial Intelligence Promotes Scientific Research Paradigm Re-form and Empowers Discipline Advancement Plan,in part by the Natural Science Foundation of Shanghai under Grant No.21ZR1444300.
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