LineaMapper: A deep learning-powered tool for mapping linear surface features on Europa (Haslebacher et al., Icarus, 2023) accompanying data

Published: 22 August 2023| Version 1 | DOI: 10.17632/nxnwj6hy4s.1
Contributors:
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Description

Data accompanying publication "LineaMapper: a deep learning-powered tool for mapping linear surface features on Europa" (Haslebacher et al., Icarus, 2023, https://doi.org/10.1016/j.icarus.2023.115722) In this folder, you find most of the code we wrote for this project, the model weights, the training log files, and the training, validation and test data set. Each folder contains a readme.txt file with more information. Each code file contains a header with a short description.

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Institutions

Universitat Bern Physikalisches Institut, Universitat Bern Center for Space and Habitability

Categories

Remote Sensing, Planetary Science, Deep Learning, Instance Segmentation

Funding

NCCR PlanetS

51NF40_182901

NCCR PlanetS

51NF40_205606

Licence