Earticle

초록

영어

Aiming at the problem of the dim target real-time detection in Infrared search and track (IRST) systems, a fusion detection algorithm for infrared dim target based on temporal-spatial domain accumulation and difference is proposed. The proposed algorithm suppresses background and enhances targets by template filtering and difference processing in space domain, and the image sequences are processed by multi-frame energy accumulation and frame difference methods according to the target’s moving characteristics in time domain. After the fusion segmentation of the temporal and spatial processing results with definite rule, the target can be detected by the relation of the possible target’s position in adjoining frames according to target’s moving continuity and regularity. Experimental results show that the proposed algorithm enormously increases the target's SNR after the temporal-spatial fusion enhancement, and it has high detection probability and high detecting speed. In the meantime, the algorithm is easy to realize in hardware and can be applied effectively in the real-time target detection of the IRST systems.

목차

Abstract
 1. Introduction
 2. Infrared Scene Model
 3. Spatial Processing
 4. Temporal Processing
 5. Temporal-Spatial Fusion Processing
 6. Experiment and Analysis
 7. Conclusion
 References

키워드

저자

• Jianfeng Wu [ Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, P. R. China ]
• Shucai Huang [ Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, P. R. China ]
• Hongxia Kang [ Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, P. R. China ]
• Yu Zhong [ Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, P. R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605