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Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4435149/ https://www.ncbi.nlm.nih.gov/pubmed/25785311 http://dx.doi.org/10.3390/s150306399 |
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author | Wu, Xiaosheng Sun, Junding Fan, Guoliang Wang, Zhiheng |
author_facet | Wu, Xiaosheng Sun, Junding Fan, Guoliang Wang, Zhiheng |
author_sort | Wu, Xiaosheng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4435149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-44351492015-05-19 Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery Wu, Xiaosheng Sun, Junding Fan, Guoliang Wang, Zhiheng Sensors (Basel) Article 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. MDPI 2015-03-16 /pmc/articles/PMC4435149/ /pubmed/25785311 http://dx.doi.org/10.3390/s150306399 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Xiaosheng Sun, Junding Fan, Guoliang Wang, Zhiheng Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery |
title | Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery |
title_full | Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery |
title_fullStr | Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery |
title_full_unstemmed | Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery |
title_short | Improved Local Ternary Patterns for Automatic Target Recognition in Infrared Imagery |
title_sort | improved local ternary patterns for automatic target recognition in infrared imagery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4435149/ https://www.ncbi.nlm.nih.gov/pubmed/25785311 http://dx.doi.org/10.3390/s150306399 |
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