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Sensors 2015, 15(3), 6399-6418; doi:10.3390/s150306399

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
Received: 12 November 2014 / Revised: 25 December 2014 / Accepted: 16 February 2015 / Published: 16 March 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [947 KB, uploaded 16 March 2015]   |  

Abstract

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)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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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.

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