Infrared target recognition based on improved joint local ternary pattern

Junding Sun; Xiaosheng Wu

doi:10.1117/1.OE.55.5.053101

3 May 2016 Infrared target recognition based on improved joint local ternary pattern

Junding Sun, Xiaosheng Wu

Author Affiliations +

Funded by: National Natural Science Foundation of China, National Science Foundation of China

Optical Engineering, Vol. 55, Issue 5, 053101 (May 2016). https://doi.org/10.1117/1.OE.55.5.053101

Abstract

This paper presents a simple, efficient, yet robust approach, named joint orthogonal combination of local ternary pattern, for automatic forward-looking infrared target recognition. It gives more advantages to describe the macroscopic textures and microscopic textures by fusing variety of scales than the traditional LBP-based methods. In addition, it can effectively reduce the feature dimensionality. Further, the rotation invariant and uniform scheme, the robust LTP, and soft concave-convex partition are introduced to enhance its discriminative power. Experimental results demonstrate that the proposed method can achieve competitive results compared with the state-of-the-art methods.

Citation Download Citation

Junding Sun and Xiaosheng Wu "Infrared target recognition based on improved joint local ternary pattern," Optical Engineering 55(5), 053101 (3 May 2016). https://doi.org/10.1117/1.OE.55.5.053101

Published: 3 May 2016

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