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Remote Sens. 2014, 6(9), 8446-8467; doi:10.3390/rs6098446

A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images

1
State 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, China
2
Key Laboratory of Mapping from Space, Chinese Academy of Surveying and Mapping, Beijing 100830, China
3
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
*
Authors to whom correspondence should be addressed.
Received: 14 April 2014 / Revised: 1 September 2014 / Accepted: 2 September 2014 / Published: 5 September 2014
(This article belongs to the Special Issue Remote Sensing Dedicated to Geographical Conditions Monitoring)
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Abstract

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. View Full-Text
Keywords: bidimensional empirical mode decomposition; image fusion; multispectral image; panchromatic image; visual and quantitative analysis bidimensional empirical mode decomposition; image fusion; multispectral image; panchromatic image; visual and quantitative analysis
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Dong, W.; Li, X.; Lin, X.; Li, Z. A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images. Remote Sens. 2014, 6, 8446-8467.

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