THE FUSION METHOD FOR QUICKBIRD DATA IN MINE<br />
REMOTE SENSING MONITORING

doi:10.6046/gtzyyg.2009.03.21

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Abstract

The transformation methods such as Brovey, HIS, PCA and Pan Sharpening were employed to perform fusion of QuickBird images, and the effects of these fusion methods were evaluated qualitatively and quantitatively. The results show that the Pan Sharpening fusion method can not only increase the spatial information of surface features but also better reserve the original multispectral information. Hence the Pan Sharpening fusion method is a means suitable for the fusion of QuickBird data.

Keywords Logistic model Logistic method Remote sensing image classification

TP 751

Issue Date: 04 September 2009

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	LIU Qing-sheng
	LIU Gao-huan
	LIN Qi-zhong
	WANG Zhi-gang

Cite this article:

LIU Qing-sheng,LIU Gao-huan,LIN Qi-zhong, et al. THE FUSION METHOD FOR QUICKBIRD DATA IN MINE
REMOTE SENSING MONITORING[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(3): 107-109.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2009.03.21 OR https://www.gtzyyg.com/EN/Y2009/V21/I3/107

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