Open Access
Volume 41, Number 3, June 2023
Page(s) 537 - 545
Published online 01 August 2023
  1. ZHUANG Zhaowen, WANG Xuesong, LI Xiang, et al. Radar target recognition[M]. Beijing: Higher Education Press, 2015: 5–6 (in Chinese) [Google Scholar]
  2. WANG Yu, ZHANG Liang, WANG Suixue, et al. Radar HRRP target recognition using scattering centers fuzzy matching[C]//Processings of 2016 CIE International Conference on Radar, Guangzhou, China, 2016: 1–5 [Google Scholar]
  3. ZHOU Daming. Radar target HRRP recognition based on reconstructive and discriminative dictionary learning[J]. Signal Processing, 2016, 126: 52–64 [Article] [CrossRef] [Google Scholar]
  4. FENG Bo, CHEN Bo, WANG Penghui, et al. Radar high resolution range profile target recognition algorithm via stable dictionary learning[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1457–1462 [Article] (in Chinese) [Google Scholar]
  5. JIANG Yue, HAN Yubing, SHENG Weixing. Target recognition of radar HRRP using manifold learning with feature weighting[C]//2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, Nanjing, China, 2011: 1–3 [Google Scholar]
  6. ZHAO Dongbo, LI Hui. Radar target recognition based on central moment featureand GA-BP neural network[J]. Infrared and Laser Engineering, 2018, 47(8): 394–400 [Article] (in Chinese) [Google Scholar]
  7. ZHANG Rui, NIU Wei, KOU Peng. Radar high resolution range profiles recognition based on the affinity[J]. Journal of Electronics & Information Technology, 2014, 36(3): 529–536 (in Chinese) [Google Scholar]
  8. HADDER A, ISSA T, SHERIF S, et al. Automated detection of unstructured context-dependent sensitive information using deep learning[J]. Internet of Things, 2021, 16: 100444–100454 [Article] [CrossRef] [Google Scholar]
  9. GONG Renjie, ZHENG Zhihui, CONG Longjian, et al. Infrared target detection and recognition based on transfer learning with small samples[J]. Journal of Northwestern Polytechnical University, 2021, 39(suppl 1): 84–88 [Article] (in Chinese) [Google Scholar]
  10. JIN Leilei, LIANG Hong, YANG Changsheng. Sonar image recognition of underwater target based on convolutional neural network[J]. Journal of Northwestern Polytechnical University, 2021, 39(2): 285–291 [Article] (in Chinese) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. VOLKAN K, SERVET T, AHMET B. Detection and classification of different weapon types using deep learning[J]. Applied Sciences, 2021, 11: 7535 [CrossRef] [Google Scholar]
  12. LAN Chaofeng, LIU Yan, ZHAO Hongyun, et al. Research on long short-term memory networks speech separation algorithm based on beamforming[J]. Journal of Electronics & Information Technology, 2021, 43(7): 2531–2538 [Article] (in Chinese) [Google Scholar]
  13. GUAN Jiwen, SU Yanzhao, SU Ling, et al. Bio-inspired algorithms for industrial robot control using deep learning methods[J]. Sustainable Energy Technologies and Assessments, 2021, 47: 101473–101480 [CrossRef] [Google Scholar]
  14. ZHAO Haitao, CHEN Huiling, DING Yi, et al. Research on traffic accident risk prediction algorithm of edgeinternet of vehicles based on deep learning[J]. Journal of Electronics & Information Technology, 2020, 42(1): 50–57 [Article] (in Chinese) [Google Scholar]
  15. JOAO O, JONNISON L, PEDRO H, et al. A deep learning method with residual blocks for automatic spinal cord segmentation in planning CT[J]. Biomedical Signal Processing and Control, 2022, 71: 103074–103086 [CrossRef] [Google Scholar]
  16. GUO Guanbo. Research on high-resolution radar target detection and recognition by combining convolutional neural network and recurrent neural network[D]. Xi'an: Xidian University, 2021 (in Chinese) [Google Scholar]
  17. ZHANG Yun, HUA Qinglong, JIANG Yicheng, et al. Recognition of 3D rotating ship based on Mix-CV-CNN[J]. Acta Electronica Sinica, 2022, 50(5): 1042–1049 [Article] (in Chinese) [Google Scholar]
  18. WU Tong, LIU Yunqing, JIANG Shuhua. Research on SAR image vehicle target recognitionmethod based on transfer learning[J]. Journal of Changchun University of Science and Technology, 2021, 44(2): 74–79 [Article] (in Chinese) [Google Scholar]
  19. FENG Bo, CHEN Bo, LIU Hongwei. Radar HRRP target recognition with deep networks[J]. Pattern Recognition, 2017, 61: 379–393 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  20. DAN Bo, FU Zhequan, GAO Shan, et al. Full-polarization high resolution range profile recognition technology for sea surface target based on convolutional network[J]. Systems Engineering and Electronics, 2022, 44(1): 108–116 [Article] (in Chinese) [Google Scholar]
  21. WANG Guoshuai. Radar target recognition based on transfer learning[D]. Beijing: Electronic Science Research Institute of China Electronics Technology Group Corporation, 2021 (in Chinese) [Google Scholar]
  22. XU Bin, CHEN Bo, LIU Jiaqi, et al. Radar HRRP target recognition by the bidirectional LSTM model[J]. Journal of Xidian University, 2019, 46(2): 29–34 [Article] (in Chinese) [Google Scholar]
  23. LUNDEN J, KOIVUNEN V. Deep learning for HRRP-based target recognition in multistatic radar systems[C]//2016 IEEE Radar Conference, 2016: 1–6 [Google Scholar]
  24. BAO Zheng, XING Mengdao, WANG Tong. Radar imaging technology[J]. Beijing: Publishing House of Electronics Industry, 2005: 130–132 (in Chinese) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.