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

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

Gespeichert in:

Bibliographische Detailangaben
Beteiligte Personen:	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
Schlagwörter:	deep learning semi-supervised learning semantic segmentation self-training automatic cloud screening Fmask Sentinel-2 imagery
Links:	https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-192140 https://d-nb.info/1257431358/34 https://open.fau.de/handle/openfau/19214
Umfang:	1 Online-Ressource

Internformat

MARC


LEADER	00000nam a2200000zc 4500
001	BV049060278
003	DE-604
005	00000000000000.0
007	cr\|uuu---uuuuu
008	230721s2022 gw o\|\|\|\| 00\|\|\| eng d
015			\|a 22,O06 \|2 dnb
016	7		\|a 1257431358 \|2 DE-101
024	7		\|a urn:nbn:de:bvb:29-opus4-192140 \|2 urn
035			\|a (OCoLC)1392155231
035			\|a (DE-599)DNB1257431358
040			\|a DE-604 \|b ger \|e rda
041	0		\|8 3\p \|a eng
044			\|a gw \|c XA-DE-BY
049			\|a DE-29
084			\|8 2\p \|a 550 \|2 23sdnb
084			\|8 1\p \|a 551.57 \|2 23ksdnb
100	1		\|a Nambiar, Kamal Gopikrishnan \|e Verfasser \|4 aut
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
264		1	\|a Erlangen ; Nürnberg \|b Friedrich-Alexander-Universität Erlangen-Nürnberg \|c 2022
300			\|a 1 Online-Ressource
336			\|b txt \|2 rdacontent
337			\|b c \|2 rdamedia
338			\|b cr \|2 rdacarrier
583	1		\|a Archivierung/Langzeitarchivierung gewährleistet \|5 DE-101 \|2 pdager
653			\|a deep learning
653			\|a semi-supervised learning
653			\|a semantic segmentation
653			\|a self-training
653			\|a automatic cloud screening
653			\|a Fmask
653			\|a Sentinel-2 imagery
700	1		\|a Morgenshtern, Veniamin I. \|e Verfasser \|4 aut
700	1		\|a Hochreuther, Philipp \|e Verfasser \|4 aut
700	1		\|a Seehaus, Thorsten \|e Verfasser \|4 aut
700	1		\|a Braun, Matthias Holger \|e Verfasser \|4 aut
787	0	8	\|i Sonderdruck aus \|t Remote Sensing \|g Vol. 14 (2022) \|o 10.3390/rs14081825
856	4	0	\|u https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-192140 \|x Resolving-System \|z kostenfrei \|3 Volltext
856	4	0	\|u https://d-nb.info/1257431358/34 \|x Langzeitarchivierung Nationalbibliothek \|z kostenfrei \|3 Volltext
856	4	0	\|q application/pdf \|u https://open.fau.de/handle/openfau/19214 \|x Verlag \|z kostenfrei \|3 Volltext
912			\|a ebook
883	0		\|8 1\p \|a aepkn \|c 0,74287 \|d 20220514 \|q DE-101 \|u https://d-nb.info/provenance/plan#aepkn
883	0		\|8 2\p \|a aepsg \|c 0,99165 \|d 20220514 \|q DE-101 \|u https://d-nb.info/provenance/plan#aepsg
883	1		\|8 3\p \|a npi \|d 20220513 \|q DE-101 \|u https://d-nb.info/provenance/plan#npi
943	1		\|a oai:aleph.bib-bvb.de:BVB01-034322439

Datensatz im Suchindex

_version_	1818990768646258688
any_adam_object
author	Nambiar, Kamal Gopikrishnan Morgenshtern, Veniamin I. Hochreuther, Philipp Seehaus, Thorsten Braun, Matthias Holger
author_facet	Nambiar, Kamal Gopikrishnan Morgenshtern, Veniamin I. Hochreuther, Philipp Seehaus, Thorsten Braun, Matthias Holger
author_role	aut aut aut aut aut
author_sort	Nambiar, Kamal Gopikrishnan
author_variant	k g n kg kgn v i m vi vim p h ph t s ts m h b mh mhb
building	Verbundindex
bvnumber	BV049060278
collection	ebook
ctrlnum	(OCoLC)1392155231 (DE-599)DNB1257431358
format	Electronic eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02368nam a2200553zc 4500</leader><controlfield tag="001">BV049060278</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">230721s2022 gw o\|\|\|\| 00\|\|\| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">22,O06</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1257431358</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:bvb:29-opus4-192140</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1392155231</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1257431358</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BY</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">2\p</subfield><subfield code="a">550</subfield><subfield code="2">23sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">1\p</subfield><subfield code="a">551.57</subfield><subfield code="2">23ksdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Nambiar, Kamal Gopikrishnan</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions</subfield><subfield code="c">Kamal Gopikrishnan Nambiar, Veniamin I. Morgenshtern, Philipp Hochreuther, Thorsten Seehaus, Matthias Holger Braun</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Erlangen ; Nürnberg</subfield><subfield code="b">Friedrich-Alexander-Universität Erlangen-Nürnberg</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="583" ind1="1" ind2=" "><subfield code="a">Archivierung/Langzeitarchivierung gewährleistet</subfield><subfield code="5">DE-101</subfield><subfield code="2">pdager</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">semi-supervised learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">semantic segmentation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">self-training</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">automatic cloud screening</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Fmask</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Sentinel-2 imagery</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Morgenshtern, Veniamin I.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hochreuther, Philipp</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Seehaus, Thorsten</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Braun, Matthias Holger</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="787" ind1="0" ind2="8"><subfield code="i">Sonderdruck aus</subfield><subfield code="t">Remote Sensing</subfield><subfield code="g">Vol. 14 (2022)</subfield><subfield code="o">10.3390/rs14081825</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-192140</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://d-nb.info/1257431358/34</subfield><subfield code="x">Langzeitarchivierung Nationalbibliothek</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="q">application/pdf</subfield><subfield code="u">https://open.fau.de/handle/openfau/19214</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">aepkn</subfield><subfield code="c">0,74287</subfield><subfield code="d">20220514</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#aepkn</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">aepsg</subfield><subfield code="c">0,99165</subfield><subfield code="d">20220514</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#aepsg</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">npi</subfield><subfield code="d">20220513</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#npi</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034322439</subfield></datafield></record></collection>
id	DE-604.BV049060278
illustrated	Not Illustrated
indexdate	2024-12-20T19:59:37Z
institution	BVB
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034322439
oclc_num	1392155231
open_access_boolean	1
owner	DE-29
owner_facet	DE-29
physical	1 Online-Ressource
psigel	ebook
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Friedrich-Alexander-Universität Erlangen-Nürnberg
record_format	marc
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
work_keys_str_mv	AT nambiarkamalgopikrishnan aselftrainedmodelforcloudshadowandsnowdetectioninsentinel2imagesofsnowandicecoveredregions AT morgenshternveniamini aselftrainedmodelforcloudshadowandsnowdetectioninsentinel2imagesofsnowandicecoveredregions AT hochreutherphilipp aselftrainedmodelforcloudshadowandsnowdetectioninsentinel2imagesofsnowandicecoveredregions AT seehausthorsten aselftrainedmodelforcloudshadowandsnowdetectioninsentinel2imagesofsnowandicecoveredregions AT braunmatthiasholger aselftrainedmodelforcloudshadowandsnowdetectioninsentinel2imagesofsnowandicecoveredregions

Verfügbarkeit

‌

Online lesen (frei zugänglich)