Opto-Electronic Engineering, Volume. 50, Issue 12, 230242-1(2024)

A multi-target semantic segmentation method for millimetre wave SAR images based on a dual-branch multi-scale fusion network

Junhua Ding1,2 and Minghui Yuan1,2、*
Author Affiliations
  • 1Terahertz Technology Innovation Research Institute, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • show less
    References(22)

    [2] H D Jing, S Y Li, X X Cui et al. Near-field single-frequency millimeter-wave 3-D imaging via multifocus image fusion. IEEE Antennas Wirel Propag Lett, 20, 298-302(2021).

    [3] T Nozokido, M Noto, T Murai. Passive millimeter-wave microscopy. IEEE Microw Wirel Compon Lett, 19, 638-640(2009).

    [4] R Appleby, R N Anderton. Millimeter-wave and submillimeter-wave imaging for security and surveillance. Proc IEEE, 95, 1683-1690(2007).

    [5] H Işiker, İ Ünal, M Tekbaş et al. An auto‐classification procedure for concealed weapon detection in millimeter‐wave radiometric imaging systems. Microw Opt Technol Lett, 60, 583-594(2018).

    [8] S Q Ren, K M He, R B Girshick et al. Faster R-CNN: towards real-time object detection with region proposal networks(2015).

    [11] E Z Xie, W H Wang, Z D Yu et al. SegFormer: simple and efficient design for semantic segmentation with transformers(2021).

    [15] H H Pan, Y D Hong, W C Sun et al. Deep dual-resolution networks for real-time and accurate semantic segmentation of traffic scenes. IEEE Trans Intell Transp Syst, 24, 3448-3460(2023).

    [16] S López-Tapia, R Molina, la Blanca N P de. Deep CNNs for object detection using passive millimeter sensors. IEEE Trans Circuits Syst Video Technol, 29, 2580-2589(2019).

    [17] C Y Liu, M H Yang, X W Sun. Towards robust human millimeter wave imaging inspection system in real time with deep learning. Prog Electromagn Res, 161, 87-100(2018).

    [18] P Sun, T Liu, X T Chen et al. Multi-source aggregation transformer for concealed object detection in millimeter-wave images. IEEE Trans Circuits Syst Video Technol, 32, 6148-6159(2022).

    [19] L H Wang, M H Yuan, H Huang et al. Recognition of edge object of human body in THz security inspection system. Infrared Laser Eng, 46, 1125002(2017).

    [20] C J Wang, K H Yang, X W Sun. Precise localization of concealed objects in millimeter-wave images via semantic segmentation. IEEE Access, 8, 121246-121256(2020).

    [21] D Liang, J X Pan, Y Yu et al. Concealed object segmentation in terahertz imaging via adversarial learning. Optik, 185, 1104-1114(2019).

    Tools

    Get Citation

    Copy Citation Text

    Junhua Ding, Minghui Yuan. A multi-target semantic segmentation method for millimetre wave SAR images based on a dual-branch multi-scale fusion network[J]. Opto-Electronic Engineering, 2024, 50(12): 230242-1

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Sep. 28, 2023

    Accepted: Nov. 30, 2023

    Published Online: Mar. 26, 2024

    The Author Email: Yuan Minghui (袁明辉)

    DOI:10.12086/oee.2023.230242

    Topics