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Title

MULTI-SENSOR LINAGE DATA FUSION IN REMOTE SENSING APPLICATIONS

Pages

  1-12

Abstract

 The information content of a single image is mainly limited by the spatial and SPECTRAL RESOLUTION of the imaging system. Current imaging systems offer a trade-off between high spatial and high SPECTRAL RESOLUTIONs. No single system offers both of these characteristics. In order to obtain the both characteristics in a single image, that is high spatial and SPECTRAL RESOLUTIONs, a technique IMAGE FUSION can be employed. IMAGE FUSION can incorporate the processing principles of human vision. This paper presents a multi resolution data fusion scheme, based on visual channels image decomposition In this method, there is no need to resample images, which is an advantage over IHS, PCA, Brovey and wavelet methods, it can perform in any aspect ratio between the panchromatic image and multi-spectral images' pixels. The sampling procedure degrade the spectral features of the multi-spectral images in any image merging method, so, it is important to avoid the re-sampling process as much as possible.

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    APA: Copy

    ALAVI, M.R., & GHASSEMIAN, M.H.. (2005). MULTI-SENSOR LINAGE DATA FUSION IN REMOTE SENSING APPLICATIONS. AMIRKABIR, 16(62-A), 1-12. SID. https://sid.ir/paper/381184/en

    Vancouver: Copy

    ALAVI M.R., GHASSEMIAN M.H.. MULTI-SENSOR LINAGE DATA FUSION IN REMOTE SENSING APPLICATIONS. AMIRKABIR[Internet]. 2005;16(62-A):1-12. Available from: https://sid.ir/paper/381184/en

    IEEE: Copy

    M.R. ALAVI, and M.H. GHASSEMIAN, “MULTI-SENSOR LINAGE DATA FUSION IN REMOTE SENSING APPLICATIONS,” AMIRKABIR, vol. 16, no. 62-A, pp. 1–12, 2005, [Online]. Available: https://sid.ir/paper/381184/en

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