A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions:
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| Hauptverfasser: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2022
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| Beschreibung: | 1 Online-Ressource |
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| 245 | 1 | 0 | |a A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions |c Kamal Gopikrishnan Nambiar, Veniamin I. Morgenshtern, Philipp Hochreuther, Thorsten Seehaus, Matthias Holger Braun |
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| spelling | Nambiar, Kamal Gopikrishnan Verfasser aut A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions Kamal Gopikrishnan Nambiar, Veniamin I. Morgenshtern, Philipp Hochreuther, Thorsten Seehaus, Matthias Holger Braun Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2022 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager deep learning semi-supervised learning semantic segmentation self-training automatic cloud screening Fmask Sentinel-2 imagery Morgenshtern, Veniamin I. Verfasser aut Hochreuther, Philipp Verfasser aut Seehaus, Thorsten Verfasser aut Braun, Matthias Holger Verfasser aut Sonderdruck aus Remote Sensing Vol. 14 (2022) 10.3390/rs14081825 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-192140 Resolving-System kostenfrei Volltext https://d-nb.info/1257431358/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/19214 Verlag kostenfrei Volltext 1\p aepkn 0,74287 20220514 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p aepsg 0,99165 20220514 DE-101 https://d-nb.info/provenance/plan#aepsg 3\p npi 20220513 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Nambiar, Kamal Gopikrishnan Morgenshtern, Veniamin I. Hochreuther, Philipp Seehaus, Thorsten Braun, Matthias Holger A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions |
| title | A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions |
| title_auth | A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions |
| title_exact_search | A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions |
| title_exact_search_txtP | A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions |
| title_full | A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions Kamal Gopikrishnan Nambiar, Veniamin I. Morgenshtern, Philipp Hochreuther, Thorsten Seehaus, Matthias Holger Braun |
| title_fullStr | A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions Kamal Gopikrishnan Nambiar, Veniamin I. Morgenshtern, Philipp Hochreuther, Thorsten Seehaus, Matthias Holger Braun |
| title_full_unstemmed | A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions Kamal Gopikrishnan Nambiar, Veniamin I. Morgenshtern, Philipp Hochreuther, Thorsten Seehaus, Matthias Holger Braun |
| title_short | A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions |
| title_sort | a self trained model for cloud shadow and snow detection in sentinel 2 images of snow and ice covered regions |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-192140 https://d-nb.info/1257431358/34 https://open.fau.de/handle/openfau/19214 |
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