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Article

Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery

1
School of Computer Science and Technology, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo 454000, China
2
School of Electrical and Computer Engineering, Oklahoma State University, 202 Engineering South, Stillwater, OK 74078, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Fabrizio Lamberti
Sensors 2015, 15(3), 6399-6418; https://doi.org/10.3390/s150306399
Received: 12 November 2014 / Revised: 25 December 2014 / Accepted: 16 February 2015 / Published: 16 March 2015
(This article belongs to the Section Physical Sensors)
This paper presents an improved local ternary pattern (LTP) for automatic target recognition (ATR) in infrared imagery. Firstly, a robust LTP (RLTP) scheme is proposed to overcome the limitation of the original LTP for achieving the invariance with respect to the illumination transformation. Then, a soft concave-convex partition (SCCP) is introduced to add some flexibility to the original concave-convex partition (CCP) scheme. Referring to the orthogonal combination of local binary patterns (OC_LBP), the orthogonal combination of LTP (OC_LTP) is adopted to reduce the dimensionality of the LTP histogram. Further, a novel operator, called the soft concave-convex orthogonal combination of robust LTP (SCC_OC_RLTP), is proposed by combing RLTP, SCCP and OC_LTP. Finally, the new operator is used for ATR along with a blocking schedule to improve its discriminability and a feature selection technique to enhance its efficiency. Experimental results on infrared imagery show that the proposed features can achieve competitive ATR results compared with the state-of-the-art methods. View Full-Text
Keywords: local ternary pattern (LTP); robust LTP (RLTP); orthogonal combination of LTP (OC_LTP); automatic target recognition (ATR); soft concave-convex partition (SCCP) local ternary pattern (LTP); robust LTP (RLTP); orthogonal combination of LTP (OC_LTP); automatic target recognition (ATR); soft concave-convex partition (SCCP)
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MDPI and ACS Style

Wu, X.; Sun, J.; Fan, G.; Wang, Z. Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery. Sensors 2015, 15, 6399-6418. https://doi.org/10.3390/s150306399

AMA Style

Wu X, Sun J, Fan G, Wang Z. Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery. Sensors. 2015; 15(3):6399-6418. https://doi.org/10.3390/s150306399

Chicago/Turabian Style

Wu, Xiaosheng, Junding Sun, Guoliang Fan, and Zhiheng Wang. 2015. "Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery" Sensors 15, no. 3: 6399-6418. https://doi.org/10.3390/s150306399

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