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UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring
Recent advances in unmanned aerial system (UAS) sensed imagery, sensor quality/size, and geospatial image processing can enable UASs to rapidly and continually monitor coral reefs, to determine the type of coral and signs of coral bleaching. This paper describes an unmanned aerial vehicle (UAV) remo...
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| Vydáno v: | Sensors (Basel) |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6069449/ https://ncbi.nlm.nih.gov/pubmed/29941801 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18072026 |
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