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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 (sample number 330), Roof clay (sample number 120), Red clay (sample number 36), mixed clay (sample number 8), and Calcium hydroxide (sample number 1)). 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?usp=sharing

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

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