Study on Efficiency of Fusion Techniques for IKONOS Images

文献类型： 外文期刊

第一作者： Liu, Yanmei

作者： Liu, Yanmei;Yu, Haiyang;Yang Guijun;Nie, Chenwei;Yang, Xiaodong;Liu, Yanmei;Yu, Haiyang;Yang Guijun;Nie, Chenwei;Yang, Xiaodong;Liu, Yanmei;Yu, Haiyang;Ren, Dong;Nie, Chenwei

作者机构：

期刊名称：35TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT (ISRSE35)

ISSN： 1755-1307

年卷期： 2014 年 17 卷

页码：

收录情况： SCI

摘要： Many image fusion techniques have been proposed to achieve optimal resolution in the spatial and spectral domains. Six different merging methods were listed in this paper and the efficiency of fusion techniques was assessed in qualitative and quantitative aspect. Both local and global evaluation parameters were used in the spectral quality and a Laplace filter method was used in spatial quality assessment. By simulation, the spectral quality of the images merged by Brovery was demonstrated to be the worst. In contrast, GS and PCA algorithms, especially the Pansharpening provided higher spectral quality than the standard Brovery, wavelet and CN methods. In spatial quality assessment, the CN method represented best compared with that of others, while the Brovery algorithm was worst. The wavelet parameters that performed best achieved acceptable spectral and spatial quality compared to the others.

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