| Comparison Between Four Methods for Data Fusion of ETM＋ Multispectral and Pan Images |
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| 作者姓名： | PouranBehnia |
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| 作者单位： | StateKeyLaboratoryofInformationEngineeringinSurveying,MappingandRemoteSensing,Wuhan430079,China!DepartmentofGeomatics,GeologicalSurveyofIran,Tehran. |
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| 摘 要： | Four data fusion methods, principle component transform (PCT), brovey transform (BT), smoothing filter-based intensity modulation(SFIM), and hue, saturation, intensity (HSI), are used to merge Landsat--7 ETMq- multispectral bands with ETM panchromatic band. Each of them improves the spatial resolution effectively but distorts the original spectral signatures to some extent. SFIM model can produce optimal fusion data with respect to preservation of spectral integrity. However, it results the most blurred and noisy image if the coregistration between the multispectral and pan images is not accurate enough. The spectral integrity for all methods is preserved better if the original multispectral images are within the spectral range of ETM pan image.
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| 关 键 词： | 数据融合 遥感图像 光滑滤波 亮度调制 |
| 收稿时间： | 12 December 2004 |
Comparison between four methods for data fusion of ETM+ multispectral and pan images |
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| PouranBehnia.Comparison between four methods for data fusion of ETM+ multispectral and pan images[J].Geo-Spatial Information Science,2005,8(2):98-103. |
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| Authors: | Pouran Behnia |
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| Institution: | (1) Mapping and Remote Sensing, Stake Key Laboratory of Information Engineering in Surveying, 430079 Wuhan, China;(2) Department of Geomatics, Geological Survey of Iran, Tehran |
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| Abstract: | Four data fusion methods, principle component transform (PCT), brovey transform (BT), smoothing filter-based intensity modulation(SFIM), and hue, saturation, intensity (HSI), are used to merge Landsat-7 ETM multispectral bands with ETM panchromatic band.Each of them improves the spatial resolution effectively but distorts the original spectral signatures to some extent.SFIM model can produce optimal fusion data with respect to preservation of spectral integrity.However, it results the most blurred and noisy image if the coregistration between the multispectral and pan images is not accurate enough.The spectral integrity for all methods is preserved better if the original multispectral images are within the spectral range of ETM pan image. |
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| Keywords: | data fusion ETM multispectral PC transform SFIM |
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