{"id":"https://openalex.org/W4387802338","doi":"https://doi.org/10.1109/igarss52108.2023.10283406","title":"Caffe - A Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery","display_name":"Caffe - A Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802338","doi":"https://doi.org/10.1109/igarss52108.2023.10283406"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10283406","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10283406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075840483","display_name":"Nora Gourmelon","orcid":"https://orcid.org/0000-0003-3760-0184"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Nora Gourmelon","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Computer Science Department,Erlangen,Germany"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Computer Science Department,Erlangen,Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066538856","display_name":"Thorsten Seehaus","orcid":"https://orcid.org/0000-0001-5055-8959"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thorsten Seehaus","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Institut f&#x00FC;r Geographie,Department of Geography and Geosciences,Erlangen,Germany"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Institut f&#x00FC;r Geographie,Department of Geography and Geosciences,Erlangen,Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113027794","display_name":"Julian Klink","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julian Klink","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Computer Science Department,Erlangen,Germany"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Computer Science Department,Erlangen,Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077777079","display_name":"Matthias Braun","orcid":"https://orcid.org/0000-0001-5169-1567"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Braun","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Institut f&#x00FC;r Geographie,Department of Geography and Geosciences,Erlangen,Germany"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Institut f&#x00FC;r Geographie,Department of Geography and Geosciences,Erlangen,Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101619735","display_name":"Andreas Maier","orcid":"https://orcid.org/0000-0002-9550-5284"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Maier","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Computer Science Department,Erlangen,Germany"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Computer Science Department,Erlangen,Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087093169","display_name":"Vincent Christlein","orcid":"https://orcid.org/0000-0003-0455-3799"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vincent Christlein","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Computer Science Department,Erlangen,Germany"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Pattern Recognition Lab,Computer Science Department,Erlangen,Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075840483"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.2134,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55213321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"896","last_page":"898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13176","display_name":"Winter Sports Injuries and Performance","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7206860780715942},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6714379191398621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6409644484519958},{"id":"https://openalex.org/keywords/glacier","display_name":"Glacier","score":0.610761821269989},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5598863363265991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5328952074050903},{"id":"https://openalex.org/keywords/front","display_name":"Front (military)","score":0.5316163897514343},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4846849739551544},{"id":"https://openalex.org/keywords/ice-calving","display_name":"Ice calving","score":0.46188443899154663},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43077677488327026},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4128909707069397},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.10480403900146484},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.09684616327285767},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.09388846158981323}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7206860780715942},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6714379191398621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6409644484519958},{"id":"https://openalex.org/C100834320","wikidata":"https://www.wikidata.org/wiki/Q35666","display_name":"Glacier","level":2,"score":0.610761821269989},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5598863363265991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5328952074050903},{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.5316163897514343},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4846849739551544},{"id":"https://openalex.org/C22641795","wikidata":"https://www.wikidata.org/wiki/Q868757","display_name":"Ice calving","level":4,"score":0.46188443899154663},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43077677488327026},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4128909707069397},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.10480403900146484},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.09684616327285767},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.09388846158981323},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2776659692","wikidata":"https://www.wikidata.org/wiki/Q719426","display_name":"Lactation","level":3,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10283406","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10283406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2889936121","https://openalex.org/W2901464108","https://openalex.org/W2914411150","https://openalex.org/W2982461770","https://openalex.org/W3092668659","https://openalex.org/W3115319128","https://openalex.org/W3128812071","https://openalex.org/W3135334105","https://openalex.org/W3135352607","https://openalex.org/W3206710510","https://openalex.org/W3208990465","https://openalex.org/W4210645043","https://openalex.org/W4296558727","https://openalex.org/W4296859308","https://openalex.org/W4313555558","https://openalex.org/W6639824700","https://openalex.org/W6790658072","https://openalex.org/W6791057679","https://openalex.org/W6791471809"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W3133517321","https://openalex.org/W123819693","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W1964992271","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598"],"abstract_inverted_index":{"Frontal":[0],"dynamics":[1],"of":[2,108],"marine-terminating":[3],"glaciers":[4],"play":[5],"a":[6,44,74],"crucial":[7],"role":[8],"in":[9,82],"glacier":[10,51,83],"projections.":[11],"To":[12],"reduce":[13],"manual":[14],"effort,":[15],"deep":[16,79,93],"learning":[17,80,94],"methods":[18],"can":[19,97,110],"be":[20,111],"employed":[21],"to":[22,41,90],"extract":[23],"calving":[24,52,70,84],"front":[25,53,85],"positions":[26],"from":[27,55],"satellite":[28],"imagery":[29,65],"automatically.":[30],"The":[31],"newly":[32],"introduced":[33],"benchmark":[34,45,91],"dataset":[35,46],"\"CaFFe\"":[36],"(Calving":[37],"fronts":[38],"and":[39,47],"where":[40],"find":[42],"them:":[43],"methodology":[48],"for":[49,77,103],"automatic":[50],"extraction":[54],"SAR":[56],"imagery)":[57],"[1]":[58],"provides":[59],"multi-mission":[60],"Synthetic":[61],"Aperture":[62],"Radar":[63],"(SAR)":[64],"along":[66],"with":[67],"manually":[68],"annotated":[69],"fronts.":[71],"CaFFe":[72,89],"establishes":[73],"standardized":[75],"framework":[76],"comparing":[78],"techniques":[81],"extraction.":[86],"By":[87],"utilizing":[88],"forthcoming":[92],"models,":[95],"researchers":[96],"identify":[98],"the":[99],"most":[100],"promising":[101],"directions":[102],"future":[104],"research.":[105],"A":[106],"leaderboard":[107],"models":[109],"accessed":[112],"at":[113],"https://paperswithcode.com/sota/calving-front-delineation-in-synthetic.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}
