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A Novel Reconstruction Method of K-Distributed Sea Clutter with Spatial–Temporal Correlation

The reconstruction of sea clutter plays an important role in target detection and recognition in a maritime environment. Reproducing the temporal and spatial correlations of real data simultaneously is always a problem in the reconstruction of sea clutter due to the complex coupling between them. In...

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Detalles Bibliográficos
Autores principales: Ding, Mingyue, Li, Yachao, Quan, Yinghui, Guo, Liang, Xing, Mengdao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219325/
https://www.ncbi.nlm.nih.gov/pubmed/32331380
http://dx.doi.org/10.3390/s20082377
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author Ding, Mingyue
Li, Yachao
Quan, Yinghui
Guo, Liang
Xing, Mengdao
author_facet Ding, Mingyue
Li, Yachao
Quan, Yinghui
Guo, Liang
Xing, Mengdao
author_sort Ding, Mingyue
collection PubMed
description The reconstruction of sea clutter plays an important role in target detection and recognition in a maritime environment. Reproducing the temporal and spatial correlations of real data simultaneously is always a problem in the reconstruction of sea clutter due to the complex coupling between them. In this paper, the spatial–temporal correlated proportional method (STCPM), based on a compound model, is proposed to reconstruct K-distributed sea clutter with correlation characteristics obtained from the real data. The texture component with spatial–temporal correlation is generated by the proportional method and the speckle component with temporal correlation is generated by matrix transformation. Compared with previous methods, the biggest innovation of the STCPM is that it can more accurately generate K-distributed sea clutter with both temporal and spatial correlations. The comparison of the reconstructed and real data demonstrates that the method can reproduce the characteristics of real sea clutter well.
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spelling pubmed-72193252020-05-22 A Novel Reconstruction Method of K-Distributed Sea Clutter with Spatial–Temporal Correlation Ding, Mingyue Li, Yachao Quan, Yinghui Guo, Liang Xing, Mengdao Sensors (Basel) Article The reconstruction of sea clutter plays an important role in target detection and recognition in a maritime environment. Reproducing the temporal and spatial correlations of real data simultaneously is always a problem in the reconstruction of sea clutter due to the complex coupling between them. In this paper, the spatial–temporal correlated proportional method (STCPM), based on a compound model, is proposed to reconstruct K-distributed sea clutter with correlation characteristics obtained from the real data. The texture component with spatial–temporal correlation is generated by the proportional method and the speckle component with temporal correlation is generated by matrix transformation. Compared with previous methods, the biggest innovation of the STCPM is that it can more accurately generate K-distributed sea clutter with both temporal and spatial correlations. The comparison of the reconstructed and real data demonstrates that the method can reproduce the characteristics of real sea clutter well. MDPI 2020-04-22 /pmc/articles/PMC7219325/ /pubmed/32331380 http://dx.doi.org/10.3390/s20082377 Text en © 2020 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ding, Mingyue
Li, Yachao
Quan, Yinghui
Guo, Liang
Xing, Mengdao
A Novel Reconstruction Method of K-Distributed Sea Clutter with Spatial–Temporal Correlation
title A Novel Reconstruction Method of K-Distributed Sea Clutter with Spatial–Temporal Correlation
title_full A Novel Reconstruction Method of K-Distributed Sea Clutter with Spatial–Temporal Correlation
title_fullStr A Novel Reconstruction Method of K-Distributed Sea Clutter with Spatial–Temporal Correlation
title_full_unstemmed A Novel Reconstruction Method of K-Distributed Sea Clutter with Spatial–Temporal Correlation
title_short A Novel Reconstruction Method of K-Distributed Sea Clutter with Spatial–Temporal Correlation
title_sort novel reconstruction method of k-distributed sea clutter with spatial–temporal correlation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219325/
https://www.ncbi.nlm.nih.gov/pubmed/32331380
http://dx.doi.org/10.3390/s20082377
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