Cargando…

An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure

Synthetic aperture radar (SAR) is an important remote sensing sensor whose application is becoming more and more extensive. Compared with traditional optical sensors, it is not easy to be disturbed by the external environment and has a strong penetration. Limited by its working principles, SAR image...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Dengshan, Tang, Yulin, Wang, Qisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505867/
https://www.ncbi.nlm.nih.gov/pubmed/36146404
http://dx.doi.org/10.3390/s22187055
_version_ 1784796580480548864
author Huang, Dengshan
Tang, Yulin
Wang, Qisheng
author_facet Huang, Dengshan
Tang, Yulin
Wang, Qisheng
author_sort Huang, Dengshan
collection PubMed
description Synthetic aperture radar (SAR) is an important remote sensing sensor whose application is becoming more and more extensive. Compared with traditional optical sensors, it is not easy to be disturbed by the external environment and has a strong penetration. Limited by its working principles, SAR images are not easily interpreted, and fusing SAR images with optical multispectral images is a good solution to improve the interpretability of SAR images. This paper presents a novel image fusion method based on non-subsampled shearlet transform and activity measure to fuse SAR images with multispectral images, whose aim is to improve the interpretation ability of SAR images easily obtained at any time, rather than producing a fused image containing more information, which is the pursuit of previous fusion methods. Three different sensors, together with different working frequencies, polarization modes and spatial resolution SAR datasets, are used to evaluate the proposed method. Both visual evaluation and statistical analysis are performed, the results show that satisfactory fusion results are achieved through the proposed method and the interpretation ability of SAR images is effectively improved compared with the previous methods.
format Online
Article
Text
id pubmed-9505867
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95058672022-09-24 An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure Huang, Dengshan Tang, Yulin Wang, Qisheng Sensors (Basel) Article Synthetic aperture radar (SAR) is an important remote sensing sensor whose application is becoming more and more extensive. Compared with traditional optical sensors, it is not easy to be disturbed by the external environment and has a strong penetration. Limited by its working principles, SAR images are not easily interpreted, and fusing SAR images with optical multispectral images is a good solution to improve the interpretability of SAR images. This paper presents a novel image fusion method based on non-subsampled shearlet transform and activity measure to fuse SAR images with multispectral images, whose aim is to improve the interpretation ability of SAR images easily obtained at any time, rather than producing a fused image containing more information, which is the pursuit of previous fusion methods. Three different sensors, together with different working frequencies, polarization modes and spatial resolution SAR datasets, are used to evaluate the proposed method. Both visual evaluation and statistical analysis are performed, the results show that satisfactory fusion results are achieved through the proposed method and the interpretation ability of SAR images is effectively improved compared with the previous methods. MDPI 2022-09-18 /pmc/articles/PMC9505867/ /pubmed/36146404 http://dx.doi.org/10.3390/s22187055 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huang, Dengshan
Tang, Yulin
Wang, Qisheng
An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure
title An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure
title_full An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure
title_fullStr An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure
title_full_unstemmed An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure
title_short An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure
title_sort image fusion method of sar and multispectral images based on non-subsampled shearlet transform and activity measure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505867/
https://www.ncbi.nlm.nih.gov/pubmed/36146404
http://dx.doi.org/10.3390/s22187055
work_keys_str_mv AT huangdengshan animagefusionmethodofsarandmultispectralimagesbasedonnonsubsampledshearlettransformandactivitymeasure
AT tangyulin animagefusionmethodofsarandmultispectralimagesbasedonnonsubsampledshearlettransformandactivitymeasure
AT wangqisheng animagefusionmethodofsarandmultispectralimagesbasedonnonsubsampledshearlettransformandactivitymeasure
AT huangdengshan imagefusionmethodofsarandmultispectralimagesbasedonnonsubsampledshearlettransformandactivitymeasure
AT tangyulin imagefusionmethodofsarandmultispectralimagesbasedonnonsubsampledshearlettransformandactivitymeasure
AT wangqisheng imagefusionmethodofsarandmultispectralimagesbasedonnonsubsampledshearlettransformandactivitymeasure