您当前的位置:
首页 >
文章列表页 >
Polarized image feature fusion in power inspection
Information Sciences | 更新时间:2025-06-19
    • Polarized image feature fusion in power inspection

    • In the field of smart grid monitoring, this study proposes a detection method based on the fusion of polarization degree and polarized light intensity bimodal information, which effectively improves the accuracy of hidden danger target recognition.
    • Optics and Precision Engineering   Vol. 33, Issue 8, Pages: 1274-1288(2025)
    • DOI:10.37188/OPE.20253308.1274    

      CLC: TP391.4
    • CSTR:32169.14.OPE.20253308.1274    
    • Received:08 November 2024

      Revised:13 January 2025

      Published:25 April 2025

    移动端阅览

  • NI Mengyao,PENG Yuanlong,HU Shang,et al.Polarized image feature fusion in power inspection[J].Optics and Precision Engineering,2025,33(08):1274-1288. DOI: 10.37188/OPE.20253308.1274. CSTR: 32169.14.OPE.20253308.1274.

  •  
  •  

0

Views

2

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Underwater polarization image fusion based on unsupervised learning and attention mechanisms
Remote sensing object detection algorithm based on ultra fusion residual marching geometric perception
Visual inspection for assembly conformity of wing cable brackets
Infrared and visible image fusion based on multi-scale spatial attention complementary
Adaptive color compensation and multi-scale fusion for underwater image enhancement

Related Author

GONG Wenzhe
CHU Jinkui
CHENG Haoyuan
ZHANG Ran
BAI Chenshuai
BAI Xiaofeng
WU Kaijun
WANG Haowen

Related Institution

Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology
School of Electronic and Information Engineering, Lanzhou Jiaotong University
College of Mechanical & Electrical Engineering, Nanjing University of Aeronautics and Astronautics
National Key Laboratory of Adaptive Optics
Institute on Optics and Electronics Technology, Chinese Academy of Sciences
0