Your Location:
Home >
Browse articles >
Misaligned visible-infrared object detection based on feature compensation and enhancement fusion
Information Sciences | Updated:2026-10-20
    • Misaligned visible-infrared object detection based on feature compensation and enhancement fusion

    • “The visible light infrared dual-mode object detection has significant advantages in low light, complex and harsh scenes. The research team proposes a lightweight detection framework CEFNet, which breaks through the limitations of traditional pixel level forced alignment and provides an efficient solution for dual-mode object detection in non aligned scenes.”
    • ZHOU Yonggen , LIN Jianpu , LÜ Shanhong , LIN Zhixian , LIN Shanling , GUO Tailiang
    • Optics and Precision Engineering Vol. 34, Issue 19, Pages: 3104-3118(2026)
    • DOI: 10.3724/OPE.20263419.3104     

      CLC:
    • CSTR: 32169.14.OPE.20263419.3104     
    • Revised:2026-08-11 ,

    Scan QR Code

  •  
  •  
  • Full Text(HTML)

  • Figs( 10 ) Tabs( 5 )

  • References

  • Publication Info

  • Metrics

20

Views

12

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Lightweight multi-scale floating detection for complex water environments
Underwater image enhancement network integrating dynamic perception and progressive refinement
Gaussian cross-based feature fusion method for hyperspectral image classification
Underwater image enhancement network based on improved U-Net with global feature fusion
Point cloud registration using adaptive sampling and geometric-spatial feature fusion

Related Author

YANG Tianqi
WANG Yong
SUN Shiming
ZHANG Chengwen
LI Guangfeng
GAO Shaoshu
JIANG Minghao
WANG Wenlong

Related Institution

School of Mechanical and Electronic Information, China University of Geosciences
Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Shandong Key Laboratory of Intelligent Oil & Gas Industrial Software
Ningxia Key Laboratory of Meteorological Disaster Prevention and Reduction (Ningxia Institute of Meteorological Sciences)
College of Computer Science and Engineering, North Minzu University
Petroleum Industry Training Center, China University of Petroleum (East China)