Rectilinear-motion space inversion-based detection approach for infrared dim air targets with variable velocities

Tianlei Ma; Zelin Shi; Jian Yin; Yunpeng Liu; Baoshu Xu; Chengshuo Zhang

doi:10.1117/1.OE.55.3.033102

11 March 2016 Rectilinear-motion space inversion-based detection approach for infrared dim air targets with variable velocities

Tianlei Ma, Zelin Shi, Jian Yin, Yunpeng Liu, Baoshu Xu, Chengshuo Zhang

Author Affiliations +

Funded by: National Defense Key Innovation Foundation of Chinese Academy of Sciences, Key Laboratory of Opto-Electronic Information Processing Foundation of Chinese Academy of Sciences

Optical Engineering, Vol. 55, Issue 3, 033102 (March 2016). https://doi.org/10.1117/1.OE.55.3.033102

Abstract

Dim targets are extremely difficult to detect using methods based on single-frame detection. Radiation accumulation is one of the effective methods to improve signal-to-noise ratio (SNR). A detection approach based on radiation accumulation is proposed. First, a location space and a motion space are established. Radiation accumulation operation, controlled by vectors from the motion space, is applied to the original image space. Then, a new image space is acquired where some images have an improved SNR. Second, quasitargets in the new image space are obtained by constant false-alarm ratio judging, and location vectors and motion vectors of quasitargets are also acquired simultaneously. Third, the location vectors and motion vectors are mapped into the two spaces, respectively. Volume density function is defined in the motion space. Location extremum of the location space and volume density extremum of motion space will confirm the true target. Finally, actual location of the true target in the original image space is obtained by space inversion. The approach is also applicable to detect multiple dim targets. Experimental results show the effectiveness of the proposed approach and demonstrate the approach is superior to compared approaches on detection probability and false alarm probability.

Citation Download Citation

Tianlei Ma, Zelin Shi, Jian Yin, Yunpeng Liu, Baoshu Xu, and Chengshuo Zhang "Rectilinear-motion space inversion-based detection approach for infrared dim air targets with variable velocities," Optical Engineering 55(3), 033102 (11 March 2016). https://doi.org/10.1117/1.OE.55.3.033102

Published: 11 March 2016

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