Semi-supervised sea floor fault detection
| Main Authors: | Clément Trassoudaine, Julian Kuehnert, Alister Trabattoni, Jie Chen, Venkata Vaddineni, Thierry Coowar, Alexis Neven |
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| Format: | info software eJournal |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3549025 |
Daftar Isi:
- The interpretation of faults along mid-ocean ridges is an important task in order to better understand tectonic mechanisms. However, the analysis relies on the detection of fault lines which can be extremely laborious when picked manually from the bathymetry. The proposed method uses a semi-supervised convolutional network to detect faults. It employs the U-Net network (Ronneberger et al., 2015) and a so-called IoU metric (mean average precision at different intersection over union).