Verfügbarkeit: A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions

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Titel:	A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions
Von:	Kamal Gopikrishnan Nambiar, Veniamin I. Morgenshtern, Philipp Hochreuther, Thorsten Seehaus, Matthias Holger Braun
Person:	Nambiar, Kamal Gopikrishnan Verfasser aut Morgenshtern, Veniamin I. Hochreuther, Philipp Seehaus, Thorsten Braun, Matthias Holger
Hauptverfassende:	Nambiar, Kamal Gopikrishnan (VerfasserIn), Morgenshtern, Veniamin I. (VerfasserIn), Hochreuther, Philipp (VerfasserIn), Seehaus, Thorsten (VerfasserIn), Braun, Matthias Holger (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2022
Schlagworte:	deep learning semi-supervised learning semantic segmentation self-training automatic cloud screening Fmask Sentinel-2 imagery
Online-Zugang:	https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-192140 https://d-nb.info/1257431358/34 https://open.fau.de/handle/openfau/19214
Beschreibung:	1 Online-Ressource

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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_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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