Space-time-based Detection of Infrared Small Moving Target

Wencheng Wu; Askar  Hamdulla

doi:10.6180/jase.202009_23(3).0014

Space-time-based Detection of Infrared Small Moving Target

Computer Science and Information Engineering

Wencheng Wu¹ and Askar Hamdulla This email address is being protected from spambots. You need JavaScript enabled to view it.¹

¹Institute of Information Science and Engineering, Xinjiang University, Urumqi 830046, China

Received: May 15, 2019
Accepted: May 10, 2020
Publication Date: September 1, 2020

Download Citation: ||https://doi.org/10.6180/jase.202009_23(3).0014

ABSTRACT

With the development of infrared monitoring and early warning system, more and more attention has been paid to the research of infrared small target detection. How to effectively detect the target in a complex background has always been a major challenge for researchers. This paper presents a space-time-based detection for small infrared target, which can improve the performance of infrared small target detection system. Firstly, the targets are enhanced and the background clutter is suppressed by the morphological filter. Then, the segmentation images method is proposed to erase the majority noises, which calculates an adaptive thresholds based on the constant false alarm rate (CFAR). Finally, a dynamic detection is proposed to erase all of the noises in the multi-frame, which adjust the size and position of the search window based on the kinematic rule of targets. Experimental results show that this technology can effectively detect the small infrared target with high performance.

Keywords: morphology filter; constant false alarm rate CFAR; motion feature analysis; point target detection; SNR of point target

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