Paper
5 November 2015 A detection method for infrared multi-target in aerospace backgound
Ningming Wang, Yazhou Zhang
Author Affiliations +
Proceedings Volume 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015; 97951P (2015) https://doi.org/10.1117/12.2216079
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held June-July 2015, 2015, Hefei, Suzhou, and Harbin, China
Abstract
Main task of the infrared search and track system is analyzing and identifying targets of airspace. But first this is needed to detect all targets in infrared image. Therefore, the multi-target detection algorithms are studied and we propose an effective multi-target detection method. Firstly, an improved morphological operator is designed based on airspace background and target traits of infrared image. Background is weakened but targets are enhanced when infrared image is processed by the gray morphological filter. Then, potential targets are found by the maximum local sum algorithm. Finally, true targets are affirmed based on data association of sequence images. The infrared images got from long-wavelength infrared camera are processed with the method of the paper. Experiment results show that the method can detect targets in infrared image quickly and accurately.
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Ningming Wang and Yazhou Zhang "A detection method for infrared multi-target in aerospace backgound", Proc. SPIE 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015, 97951P (5 November 2015); https://doi.org/10.1117/12.2216079
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KEYWORDS
Infrared radiation

Infrared imaging

Target detection

Image filtering

Infrared detectors

Signal to noise ratio

Image processing

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