您当前的位置:
首页 >
文章列表页 >
Real-time super-resolution for infrared dynamic object video based on airborne platform
Information Sciences | 更新时间:2025-04-17
    • Real-time super-resolution for infrared dynamic object video based on airborne platform

    • In the field of infrared imaging, experts have proposed an infrared video super-resolution reconstruction method based on recurrent residual neural networks, which effectively improves the long-range detection and recognition capabilities of dynamic targets.
    • Optics and Precision Engineering   Vol. 33, Issue 5, Pages: 818-828(2025)
    • DOI:10.37188/OPE.20253305.0818    

      CLC: TP391.4
    • CSTR:32169.14.OPE.20253305.0818    
    • Received:10 November 2024

      Revised:06 December 2024

      Published:10 March 2025

    移动端阅览

  • ZHU Deyan,XU Jiayi,AO Yongqi.Real-time super-resolution for infrared dynamic object video based on airborne platform[J].Optics and Precision Engineering,2025,33(05):818-828. DOI: 10.37188/OPE.20253305.0818. CSTR: 32169.14.OPE.20253305.0818.

  •  
  •  

0

Views

4

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

YOLOv8 model-based additive manufacturing micro porosity defect detection and its dimension measurement
Lightweight video super-resolution based on hybrid spatio-temporal convolution
Multi-stage frame alignment video super- resolution network
Design of channel attention network and system for micro target measurement
Overview of visual pose estimation methods for space missions

Related Author

CAI Yindi
ZHANG Dianpeng
SUN Zimeng
WANG Yuxuan
ZHU Xianglong
KANG Renke
XIA Zhenping
CHEN Hao

Related Institution

College of Mechanical Engineering, Dalian University of Technology
School of Electronic & Information Engineering, Suzhou University of Science and Technology
Display R&D Centre, School of Electronic Science & Engineering, Southeast University
Jiangsu Industrial Intelligent and Low-carbon Technology Engineering Center
Cheng Laboratory for Information Display and Visualization
0