A Comparative Study of Six Methods for the Fusion of QuickBird Multispectral and Pan Images in Consideration of Segmentation Effect

doi:10.6046/gtzyyg.2010.03.05

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Abstract

Image fusion is the essential way to integrate the advantages of panchromatic and multi-spectral data of high spatial resolution remote sensing imagery. The comparative study of the present image fusion methods emphasizes the visual effect of the fused imagery and pays less attention to the processing and application steps such as segmentation and analysis which are subsequent to image segmentation. With QuickBird imagery of a place in Beijing as the test data source, the authors combined the quantitative analysis with the study results of fusion and segmentation experiments and performed a comparative study of such pixel-based main fusion methods as IHS, PCA, HPF, Wavelet-PC, Ehlers and GS in the aspects of spectral and geometric features. It is shown that evident differences exist in terms of visual effects and quantitative indices of fused imagery derived from different fusion methods, and that, of these methods, GS seems to be the best.

Keywords Deerbugan region Forest and marshland area Geological analyse

TP 751

Issue Date: 20 September 2010

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Cite this article:

LIU Jian-Hua. A Comparative Study of Six Methods for the Fusion of QuickBird Multispectral and Pan Images in Consideration of Segmentation Effect[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(3): 21-25.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.03.05 OR https://www.gtzyyg.com/EN/Y2010/V22/I3/21

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