Study on Efficiency of Fusion Techniques for IKONOS Images

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Liu, Yanmei^1,2,3 ; Yu, Haiyang^1,2,3 ; Guijun, Yang^1,2 ; Ren, Dong^3 ; Nie, Chenwei^1,2,3 ; Yang, Xiaodong^1,2

Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China^1

National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China^2

College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei 443002, China^3

关键词: Evaluation parameters;    Fusion techniques;    Image fusion techniques;    Optimal resolution;    Spatial quality;    Spectral domains;    Spectral quality;    Wavelet parameters;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012232/pdf
DOI  :  10.1088/1755-1315/17/1/012232

学科分类：环境科学（综合）

来源: IOP

【 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.