Projects per year
Description
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
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 available | 6 Sep 2022 |
|---|---|
| Publisher | Zenodo |
Projects
- 1 Active
-
Doctoral Training Partnership 2018-19 University of Strathclyde | Czerkawski, Mikolaj
Tachtatzis, C., Clemente, C. & Czerkawski, M.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/19 → 1/04/23
Project: Research Studentship - Internally Allocated