Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1628004(2025)

High-Resolution Remote Sensing Semantic Segmentation Method Coupling ResNet and Transformer

Lei Zhang1, Xue Ding1,2,3、*, Jinliang Wang2,3,4, Shuangyun Peng4, and Rongxiang Luo1
Author Affiliations
  • 1School of Information Science and Technology, Yunnan Normal University, Kunming 650500, Yunnan , China
  • 2Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, Yunnan , China
  • 3Yunnan Provincial Engineering and Technology Research Center for Geospatial Information Technology, Kunming 650500, Yunnan , China
  • 4Faculty of Geography, Yunnan Normal University, Kunming 650500, Yunnan , China
  • show less
    References(35)

    [4] Ustin S L, Roberts D A, Gardner M et al. Evaluation of the potential of Hyperion data to estimate wildfire hazard in the Santa Ynez front range, Santa Barbara, California[C], 796-798(2002).

    [8] Wang Y, Gao S, Dai Z. Laser stripe segmentation of weld seam based on CNN‑Transformer hybrid networks[J]. Chinese Journal of Lasers, 51, 2402110(2024).

    [9] Zhang X, Ma C C, Wang M D. Keyhole TIG defect detection and classification based on ResNet[J]. Acta Optica Sinica, 44, 2114003(2024).

    Tools

    Get Citation

    Copy Citation Text

    Lei Zhang, Xue Ding, Jinliang Wang, Shuangyun Peng, Rongxiang Luo. High-Resolution Remote Sensing Semantic Segmentation Method Coupling ResNet and Transformer[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1628004

    Download Citation

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

    Category: Remote Sensing and Sensors

    Received: Feb. 5, 2025

    Accepted: Mar. 21, 2025

    Published Online: Jul. 25, 2025

    The Author Email: Xue Ding (4228@ynnu.edu.cn)

    DOI:10.3788/LOP250591

    CSTR:32186.14.LOP250591

    Topics