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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7219325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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