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		题名	作者	年代	出处	被引量
	1	Current progress of information fusion in China显示文摘Information fusion is a challenging task to extract the required information for high-level applications from various homogeneous or heterogeneous sensors.This paper summarizes some improvements in recent five years in the presented structure of information fusion,including estimation fusion,image fusion and others.Some technologies of information fusion and their variants are discussed.Although the state-of-the-art of the algorithms for information fusion have been proposed,there still remains some fundamental challenges with regard to exploiting the emerging multi-sensors’characteristics and their special structures.Finally,some potential prospects of estimation fusion and image fusion are discussed.	JING ZhongLiang PAN Han QIN YanYuan	2013	Chinese Science Bulletin2013，58，36：	4
	2	Variational PCA fusion for Pan-sharpening very high resolution imagery显示文摘The Pan-sharpening approach based on principle component analysis(PCA) is affected by severe spectral distortion. To address this problem, a new pan-sharpening model based on PCA and variational technique is proposed to construct the substitute image of the first principal component(PC1). The energy functional consists of three terms. The first term injects PC1 with the geometric structure of the panchromatic(Pan) image. The second term preserves the spectral pattern of the multi-spectral image in the merged result.And the third term guarantees the smoothness of the functional optimization solution. The fusion result is given by the minimum of the energy functional, which is computed with the gradient descend flow. The experiments on QuickBird and IKONOS datasets validate the effectiveness of the proposed model. Compared with the stateof-the-art pan-sharpening approaches, this model exhibits a better trade-off between improving spatial quality and preserving spectral signature of the MS image.	ZHOU ZeMing MA Ning LI YuanXiang YANG PingL ZHANG Peng LI YunYing	2014	Science China(Information Sciences)2014，57，11：	1

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