Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery
AbstractThis 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
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Wu, X.; Sun, J.; Fan, G.; Wang, Z. Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery. Sensors 2015, 15, 6399-6418.
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.Chicago/Turabian Style
Wu, Xiaosheng; Sun, Junding; Fan, Guoliang; Wang, Zhiheng. 2015. "Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery." Sensors 15, no. 3: 6399-6418.