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- W2347717871 abstract "There is a great application potential for the fusion of remote sensing images. With the development of quantitative remote sensing, not only improving spatial details but also preserving the spectral information of multispectral bands were required. The principle and methods of two fusion algorithms,SFIM (smoothing filter-based intensity modulation) and Gram-Schmidt (Gram-Schmidt transform), were described. In a case of IKONOS image in city, visual judgment, quantitative statistical parameters and graphs comparison were used to assess these two algorithms, which were also compared to the traditional methods of IHS transform and PC(principal component) transform. The results showed there was no distinct difference in spatial details improved. However in terms of spectral information fidelity, both IHS and PC method were the worst, Gram-Schmidt method was better, while SFIM method was the best." @default.
- W2347717871 created "2016-06-24" @default.
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- W2347717871 date "2004-01-01" @default.
- W2347717871 modified "2023-09-25" @default.
- W2347717871 title "Comparison of Two Methods of Fusing Remote Sensing Images with Fidelity of Spectral Information" @default.
- W2347717871 hasPublicationYear "2004" @default.
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