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AI Radar Sensor: Creating Radar Depth Sounder Images Based on Generative Adversarial Network
Significant resources have been spent in collecting and storing large and heterogeneous radar datasets during expensive Arctic and Antarctic fieldwork. The vast majority of data available is unlabeled, and the labeling process is both time-consuming and expensive. One possible alternative to the lab...
Sparad:
| I publikationen: | Sensors (Basel) |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6960960/ https://ncbi.nlm.nih.gov/pubmed/31842359 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19245479 |
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