LROC-PANGU-GAN: closing the simulation gap in learning crater segmentation with planetary simulators
It is critical for probes landing on foreign planetary bodies to be able to robustly identify and avoid hazards – as, for example, steep cliffs or deep craters can pose significant risks to a probe’s landing and operational success. Recent applications of deep learning to this problem show promising...
| Main Authors: | , , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
European Space Agency
2023
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