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	Scaling-up Transformation of Multisensor Images with Multiple Resolutions
	Tian J.; Xia J.
	2009
关键词	Intensity Hue Saturation Generalized Intensity Modulation Spectral Response Function Empirical Mode Decomposition Scaling-up Transformation wavelet transform fusion decomposition
英文摘要	For scaling up low resolution multispectral images (LRMIs) with high resolution panchromatic image (HRPI), intensity-hue-saturation (IHS) can produce satisfactory spatial enhancement but usually introduces spectral distortion in the fused high resolution multispectral images (HRMIs). In this paper, to minimize this problem, we present a generalized intensity modulation (GIM) by extending the IHS transform to an arbitrary number of LRMIs, which uses the information of the spectral response functions (SRFs) of the multispectral and panchromatic sensors. Before modulation, the generalized intensity is enhanced by injecting details extracted from the HRPI by means of empirical mode decomposition. After the enhanced generalized intensity is substituted for the old one, the HRMIs are obtained through the GIM. Quickbird images are used to illustrate the superiority of this proposed method. Extensive comparison results based on visual analysis and Wald's protocol demonstrate that the proposed method is more encouraging for scaling up the LRMIs with the HRPI spectrally and spatially than the tested fusion methods.
出处	Sensors
卷	9
期	3
页	1370-1381
收录类别	SCI
语种	英语
ISSN号	1424-8220
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/24224]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Tian J.,Xia J.. Scaling-up Transformation of Multisensor Images with Multiple Resolutions. 2009.

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