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REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (4) : 126-131     DOI: 10.6046/gtzyyg.2017.04.19
Application of improved Welsh’s color transfer algorithm to GF-2 image fusion
YIN Feng1, CAO Liqin2, Liang Peng1
1. Hubei Provincial Department of Land and Resources, Wuhan 430071, China;
2. School of Printing and Packaging, Wuhan University, Wuhan 430079, China
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Abstract  During the processing, image fusion, calibration, registration and other pre-processing steps for images are onerous tasks in land resources investigation. In this paper, the improved Welsh color transfer was proposed for image fusion. The study area was Xiantao City in Hubei Province and the study images were GF-2 high spatial resolution image data. The result of color-based image fusion algorithm was qualitatively and quantitatively compared with that of Gram-Schmidt(GS)and principal components(PC) fusion methods. The results show that the improved Welsh color transfer has good performance on preserving color fidelity and texture similarity. Especially in complex land-surface areas, the texture similarity of result image based on improved color transfer method is much better than that based on GS and PC fusion algorithm. The color transfer method is also applied to images fusion about different areas without calibration and registration for images.
Keywords remote sensing      coal mine      subsidence      restoration and management     
:  TP79  
Issue Date: 04 December 2017
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WANG Haiqing
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WANG Haiqing,YANG Jinzhong,CHEN Ling, et al. Application of improved Welsh’s color transfer algorithm to GF-2 image fusion[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 126-131.
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