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ZENODO
Software . 2022
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
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ZENODO
Software . 2022
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: ZENODO
Claim

Satellite Cloud Generator

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 06 Sep 2022Publisher:Zenodo
Authors: Mikolaj Czerkawski; Christos Tachtatzis;

doi: 10.5281/zenodo.7053396

Satellite Cloud Generator

Abstract

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.

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Keywords

satellite-imagery, cloud-generation, remote-sensing, cloud-synthesis, image-synthesis, image-augmentation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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