Paper
30 October 2009 Dynamic programming algorithm for detecting dim infrared moving targets
Lisha He, Liangjing Mao, Lijun Xie
Author Affiliations +
Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74954X (2009) https://doi.org/10.1117/12.832850
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Infrared (IR) target detection is a key part of airborne infrared weapon system, especially the detection of poor dim moving IR target embedded in complex context. This paper presents an improved Dynamic Programming (DP) algorithm in allusion to low Signal to Noise Ratio (SNR) infrared dim moving targets under cluttered context. The algorithm brings the dim target to prominence by accumulating the energy of pixels in the image sequence, after suppressing the background noise with a mathematical morphology preprocessor. As considering the continuity and stabilization of target's energy and forward direction, this algorithm has well solved the energy scattering problem that exists in the original DP algorithm. An effective energy segmentation threshold is given by a Contrast-Limited Adaptive Histogram Equalization (CLAHE) filter with a regional peak extraction algorithm. Simulation results show that the improved DP tracking algorithm performs well in detecting poor dim targets.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lisha He, Liangjing Mao, and Lijun Xie "Dynamic programming algorithm for detecting dim infrared moving targets", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954X (30 October 2009); https://doi.org/10.1117/12.832850
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KEYWORDS
Detection and tracking algorithms

Target detection

Infrared imaging

Infrared radiation

Scattering

Infrared detectors

Signal to noise ratio

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