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Low-Resolution Multispectral EDS - High-Resolution Panchromatic SEM images for close-range Pansharpening testing.

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DataCite Commons2022-02-15 更新2025-04-16 收录
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https://ieee-dataport.org/documents/low-resolution-multispectral-eds-high-resolution-panchromatic-sem-images-close-range
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The presented dataset is a supplementary material to the paper [1] and it represents the X-Ray Energy Dispersive (EDS)/ Scanning Electron Microscopy (SEM) images of a shungite-mineral particle. Pansharpening is a procedure for enhancing the spatial resolution of a multispectral image, here the EDS individual bands, with a high-spatial panchromatic image, here the SEM image. Pansharpening techniques are usually tested with remote sensed data, but the procedures have been efficient in close-range MS-PAN pairs as well [3]. The current dataset provides both the MS data in multiple elemental bands and the PAN image associated with the particle angle. All images were captured by a Hitachi SU3500 Scanning Electron Microscope with Thermo Scientific UltraDry SDD EDS, dual detector. The sample is of an uneven nature and presents noise that can be pretreated as in [2], and both the noise-treated and original images are present in the current dataset. The image dimensions are 256 by 192 for the EDS maps and 1024 by 768 for the SEM images, whereas the chemical elements present in the sample are: aluminum (Al), carbon (C), iron (Fe), oxygen (O) and sulfur (S). [1] T. Sihvonen, Z.-S. Duma, H. Haario and   S.-P. Reinikainen, “AB-PLS-DA: Novel Pansharpening Aproach Using PLS-DA Classification for Adapted PAN Bins,” IEEE Transactions on image processing, Submitted, in press 2022.[2] Z.-S. Duma, T. Sihvonen, V. V. Kovalevski, V. Reinikainen, J. Havukainen, and S.-P. Reinikainen, “Pansharpening optimization procedures for EDS images,” IEEE Transactions on image processing, Submitted, in press 2022.[3] G. Franchi, J. Angulo, M. Moreaud, and L. Sorbier, “Enhanced EDX images by fusion of multimodal SEM images using pansharpening techniques,” Journal of microscopy, vol. 269, no. 1, pp. 94–112, 2018.
提供机构:
IEEE DataPort
创建时间:
2022-02-15
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