Showcases image processing techniques using hyperspectral imaging. It includes the steps to import hyperspectral images, generate a low-resolution hyperspectral image, and a high-resolution RGB image. The script splits the images into training and testing sets, normalizes the data, and then proceeds to create a super-resolution model using a CNN.
deep-learning
image-processing
convolutional-neural-network
super-resolution
hyperspectral-imaging
high-resolution-image
super-resolution-cnn
low-resolution-image
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Updated
May 27, 2023 - Jupyter Notebook