Satellite Cloud Generator



A PyTorch-based tool for simulating clouds in satellite images.

This tool allows for generating artificial clouds in an image using structural noise, such as Perlin noise; intended for applications where pairs of clear-sky and cloudy images are required or useful. For example, it can be used to generating training data for tasks such as cloud detection or cloud removal, or simply as a method of augmentation of satellite image data for other tasks. Apache-2.0 license.

External deposit with Zenodo / GitHub
Date made available6 Sept 2022

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