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A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures

In this work, we generated a comprehensive hyperspectral dataset of intimate mineral powder mixtures by homogeneously mixing five different clay powders (Kaolin, Roof clay, Red clay, mixed clay, and Calcium hydroxide). We generated a total of 325 mixtures by mixing these five pure clay powders. All possible clay combinations of these powders were considered, i.e., 10 binary combinations, 10 ternary combinations, 5 quaternary combinations, and one quinary combination.

Graphical abstract

If you use this dataset please do not forget to cite the following paper:

B. Koirala et al., "A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures," in IEEE Sensors Journal, doi: 10.1109/JSEN.2023.3343552

The dataset can be downloaded by clicking the following link: https://drive.google.com/file/d/1L6WqHplACCBusLRK6coZdncfc_AtBw7N/view

Please feel free to contact bikram.koirala@unatwerpen.be for further information regarding the dataset.

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