Imaging Components, Systems, and Processing

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

[+] Author Affiliations
Tianlei Ma, Chengshuo Zhang

Chinese Academy of Sciences, Shenyang Institute of Automation, No. 114 Nanta Street, Shenyang 110016, China

Chinese Academy of Sciences, Key Laboratory of Optical-Electronics Information Processing, No. 114 Nanta Street, Shenyang 110016, China

University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China

Zelin Shi, Yunpeng Liu, Baoshu Xu

Chinese Academy of Sciences, Shenyang Institute of Automation, No. 114 Nanta Street, Shenyang 110016, China

Chinese Academy of Sciences, Key Laboratory of Optical-Electronics Information Processing, No. 114 Nanta Street, Shenyang 110016, China

Jian Yin

Research Institute on General Development and Argumentation of Equipment of Air Force, Beijing 100076, China

Opt. Eng. 55(3), 033102 (Mar 11, 2016). doi:10.1117/1.OE.55.3.033102
History: Received December 5, 2015; Accepted February 16, 2016
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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.

© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Tianlei Ma ; Zelin Shi ; Jian Yin ; Yunpeng Liu ; Baoshu Xu, et al.
"Rectilinear-motion space inversion-based detection approach for infrared dim air targets with variable velocities", Opt. Eng. 55(3), 033102 (Mar 11, 2016). ; http://dx.doi.org/10.1117/1.OE.55.3.033102


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