Research on adaptive clutter suppression for ground penetrating radar based on wavelet transform and K-SVD

Aiming at the large amount of clutter and noise interference(mainly direct waves on the surface) in the original image of ground penetrating radar,an adaptive bilateral filtering method based on wavelet transform and K-Means singular value decomposition was proposed in order to effectively extract t...

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Autores principales:	Xueli WU, Feng YAN, Ran ZHEN, Xiaojing WU, Fanhua MENG
Formato:	article
Lenguaje:	ZH
Publicado:	Hebei University of Science and Technology 2021
Materias:	radar engineering; ground penetrating radar(gpr); clutter suppression; wavelet transform; singular value decomposition (svd); adaptive bilateral filtering Technology T
Acceso en línea:	https://doaj.org/article/70eb19f37185476b8fa7b24209256645
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spelling	oai:doaj.org-article:70eb19f37185476b8fa7b242092566452021-11-23T07:16:39ZResearch on adaptive clutter suppression for ground penetrating radar based on wavelet transform and K-SVD1008-154210.7535/hbkd.2021yx02003https://doaj.org/article/70eb19f37185476b8fa7b242092566452021-04-01T00:00:00Zhttp://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b202102003&flag=1&journal_https://doaj.org/toc/1008-1542Aiming at the large amount of clutter and noise interference(mainly direct waves on the surface) in the original image of ground penetrating radar,an adaptive bilateral filtering method based on wavelet transform and K-Means singular value decomposition was proposed in order to effectively extract the target signal.The original radar data was decomposed by wavelet,and then the decomposed data was sparsely coded by K-SVD transform and updated atoms.The updated sparse coefficients and dictionary were used to reconstruct small blocks,and the small blocks were subjected to inverse wavelet transform to reconstruct the image.The reconstructed image was processed by adaptive bilateral filtering to obtain the processed image,so as to realize the complementary advantages of wavelet transform,K-SVD algorithm and adaptive bilateral filtering method.Compared with other methods,the experimental results show that the proposed method has a good clutter suppression effect and better performance in peak signal-to-noise ratio and target image entropy.The research results have certain application value in the actual radar survey tasks.Xueli WUFeng YANRan ZHENXiaojing WUFanhua MENGHebei University of Science and Technologyarticleradar engineering; ground penetrating radar(gpr); clutter suppression; wavelet transform; singular value decomposition (svd); adaptive bilateral filteringTechnologyTZHJournal of Hebei University of Science and Technology, Vol 42, Iss 2, Pp 111-118 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	radar engineering; ground penetrating radar(gpr); clutter suppression; wavelet transform; singular value decomposition (svd); adaptive bilateral filtering Technology T
spellingShingle	radar engineering; ground penetrating radar(gpr); clutter suppression; wavelet transform; singular value decomposition (svd); adaptive bilateral filtering Technology T Xueli WU Feng YAN Ran ZHEN Xiaojing WU Fanhua MENG Research on adaptive clutter suppression for ground penetrating radar based on wavelet transform and K-SVD
description	Aiming at the large amount of clutter and noise interference(mainly direct waves on the surface) in the original image of ground penetrating radar,an adaptive bilateral filtering method based on wavelet transform and K-Means singular value decomposition was proposed in order to effectively extract the target signal.The original radar data was decomposed by wavelet,and then the decomposed data was sparsely coded by K-SVD transform and updated atoms.The updated sparse coefficients and dictionary were used to reconstruct small blocks,and the small blocks were subjected to inverse wavelet transform to reconstruct the image.The reconstructed image was processed by adaptive bilateral filtering to obtain the processed image,so as to realize the complementary advantages of wavelet transform,K-SVD algorithm and adaptive bilateral filtering method.Compared with other methods,the experimental results show that the proposed method has a good clutter suppression effect and better performance in peak signal-to-noise ratio and target image entropy.The research results have certain application value in the actual radar survey tasks.
format	article
author	Xueli WU Feng YAN Ran ZHEN Xiaojing WU Fanhua MENG
author_facet	Xueli WU Feng YAN Ran ZHEN Xiaojing WU Fanhua MENG
author_sort	Xueli WU
title	Research on adaptive clutter suppression for ground penetrating radar based on wavelet transform and K-SVD
title_short	Research on adaptive clutter suppression for ground penetrating radar based on wavelet transform and K-SVD
title_full	Research on adaptive clutter suppression for ground penetrating radar based on wavelet transform and K-SVD
title_fullStr	Research on adaptive clutter suppression for ground penetrating radar based on wavelet transform and K-SVD
title_full_unstemmed	Research on adaptive clutter suppression for ground penetrating radar based on wavelet transform and K-SVD
title_sort	research on adaptive clutter suppression for ground penetrating radar based on wavelet transform and k-svd
publisher	Hebei University of Science and Technology
publishDate	2021
url	https://doaj.org/article/70eb19f37185476b8fa7b24209256645
work_keys_str_mv	AT xueliwu researchonadaptivecluttersuppressionforgroundpenetratingradarbasedonwavelettransformandksvd AT fengyan researchonadaptivecluttersuppressionforgroundpenetratingradarbasedonwavelettransformandksvd AT ranzhen researchonadaptivecluttersuppressionforgroundpenetratingradarbasedonwavelettransformandksvd AT xiaojingwu researchonadaptivecluttersuppressionforgroundpenetratingradarbasedonwavelettransformandksvd AT fanhuameng researchonadaptivecluttersuppressionforgroundpenetratingradarbasedonwavelettransformandksvd
_version_	1718416832896958464

Research on adaptive clutter suppression for ground penetrating radar based on wavelet transform and K-SVD

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