Deep Learning CNN Convolutional Neural Networks with Python - RGB Images

The video tutorial explains the basics of grayscale and RGB images, detailing how pixel values represent colors in digital images. It covers the structure of RGB images with three channels for red, green, and blue, and how these channels combine to form various colors. The tutorial also introduces hyperspectral images, which contain additional channels beyond RGB, often used in geospatial data from satellites.

What is the role of each channel in forming a digital image?

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What are hyperspectral images and how do they differ from standard RGB images?

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Discuss how a camera captures the different color bands in an image.

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