Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from CE-4

Citation Author(s):
J.
de Curtò i DíAz
R. A.
Duvall
Submitted by:
J. de Curtò i DíAz
Last updated:
Tue, 01/04/2022 - 08:58
DOI:
10.21227/27vm-hw75
Data Format:
*.png
Links:
GitHub
arXiv
License:
Creative Commons Attribution
370 Views
Categories:
Artificial Intelligence
Image Processing
Computer Vision
Keywords:
aerospace, Robotic Vision, Robotics, IMU; Wheel Odometry; GPS; Field robotics
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Abstract 

Given the difficulty to handle planetary data we provide downloadable files in PNG format from the missions Chang'E-3 and Chang'E-4. In addition to a set of scripts to do the conversion given a different PDS4 Dataset.

Instructions: 

Please see Readme inside ZIP files for more information about the provided data and scripts. 

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