A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images
This article focuses on the image fusion of high-resolution panchromatic and multispectral images. We propose a new image fusion method based on a Hue-Saturation-Value (HSV) color space model and bidimensional empirical mode decomposition (BEMD), by integrating high-frequency component of panchrom...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-09-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/6/9/8446 |
| _version_ | 1798031698450972672 |
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| author | Weihua Dong Xian'en Li Xiangguo Lin Zhilin Li |
| author_facet | Weihua Dong Xian'en Li Xiangguo Lin Zhilin Li |
| author_sort | Weihua Dong |
| collection | DOAJ |
| description | This article focuses on the image fusion of high-resolution panchromatic and multispectral images. We propose a new image fusion method based on a Hue-Saturation-Value (HSV) color space model and bidimensional empirical mode decomposition (BEMD), by integrating high-frequency component of panchromatic image into multispectral image and optimizing the BEMD in decreasing sifting time, simplifying extrema point locating and more efficient interpolation. This new method has been tested with a panchromatic image (SPOT, 10-m resolution) and a multispectral image (TM, 28-m resolution). Visual and quantitative assessment methods are applied to evaluate the quality of the fused images. The experimental results show that the proposed method provided superior performance over conventional fusion algorithms in improving the quality of the fused images in terms of visual effectiveness, standard deviation, correlation coefficient, bias index and degree of distortion. Both five different land cover types WorldView-II images and three different sensor combinations (TM/SPOT, WorldView-II, 0.5 m/1 m resolution and IKONOS, 1 m/4 m resolution) validated the robustness of BEMD fusion performance. Both of these results prove the capability of the proposed BEMD method as a robust image fusion method to prevent color distortion and enhance image detail. |
| first_indexed | 2024-04-11T20:00:38Z |
| format | Article |
| id | doaj.art-b52bd17ee3914b1f831d081eaccf826d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T20:00:38Z |
| publishDate | 2014-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b52bd17ee3914b1f831d081eaccf826d2022-12-22T04:05:38ZengMDPI AGRemote Sensing2072-42922014-09-01698446846710.3390/rs6098446rs6098446A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing ImagesWeihua Dong0Xian'en Li1Xiangguo Lin2Zhilin Li3State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities and School of Geography and Remote Sensing Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities and School of Geography and Remote Sensing Science, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Mapping from Space, Chinese Academy of Surveying and Mapping, Beijing 100830, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaThis article focuses on the image fusion of high-resolution panchromatic and multispectral images. We propose a new image fusion method based on a Hue-Saturation-Value (HSV) color space model and bidimensional empirical mode decomposition (BEMD), by integrating high-frequency component of panchromatic image into multispectral image and optimizing the BEMD in decreasing sifting time, simplifying extrema point locating and more efficient interpolation. This new method has been tested with a panchromatic image (SPOT, 10-m resolution) and a multispectral image (TM, 28-m resolution). Visual and quantitative assessment methods are applied to evaluate the quality of the fused images. The experimental results show that the proposed method provided superior performance over conventional fusion algorithms in improving the quality of the fused images in terms of visual effectiveness, standard deviation, correlation coefficient, bias index and degree of distortion. Both five different land cover types WorldView-II images and three different sensor combinations (TM/SPOT, WorldView-II, 0.5 m/1 m resolution and IKONOS, 1 m/4 m resolution) validated the robustness of BEMD fusion performance. Both of these results prove the capability of the proposed BEMD method as a robust image fusion method to prevent color distortion and enhance image detail.http://www.mdpi.com/2072-4292/6/9/8446bidimensional empirical mode decompositionimage fusionmultispectral imagepanchromatic imagevisual and quantitative analysis |
| spellingShingle | Weihua Dong Xian'en Li Xiangguo Lin Zhilin Li A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images Remote Sensing bidimensional empirical mode decomposition image fusion multispectral image panchromatic image visual and quantitative analysis |
| title | A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images |
| title_full | A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images |
| title_fullStr | A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images |
| title_full_unstemmed | A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images |
| title_short | A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images |
| title_sort | bidimensional empirical mode decomposition method for fusion of multispectral and panchromatic remote sensing images |
| topic | bidimensional empirical mode decomposition image fusion multispectral image panchromatic image visual and quantitative analysis |
| url | http://www.mdpi.com/2072-4292/6/9/8446 |
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