https://www.selleckchem.com/products/unc3866.html
It is challenging to interpret hyperspectral images in an intuitive and meaningful way, as they usually contain hundreds of dimensions. We develop a visualization tool for hyperspectral images based on neural networks, which allows a user to specify the regions of interest, select bands of interest, and obtain hyperspectral clustering results in a scatterplot generated from hyperspectral features. A cascade neural network is trained to generate an scatterplot that matches the clustering centers labeled by the user. The inferred scatterp
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