{"id":"https://openalex.org/W2987176577","doi":"https://doi.org/10.1109/igarss.2019.8898016","title":"Unsupervised Classification of High-Resolution SAR Images Using Multilayer Level Set Method","display_name":"Unsupervised Classification of High-Resolution SAR Images Using Multilayer Level Set Method","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2987176577","doi":"https://doi.org/10.1109/igarss.2019.8898016","mag":"2987176577"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024713117","display_name":"Chuan Xu","orcid":"https://orcid.org/0000-0002-7099-7833"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Xu","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052272301","display_name":"Haigang Sui","orcid":"https://orcid.org/0000-0003-4405-3553"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haigang Sui","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738704","display_name":"Junyi Liu","orcid":"https://orcid.org/0000-0001-9095-8404"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Liu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006872582","display_name":"Kaimin Sun","orcid":"https://orcid.org/0000-0002-2664-9479"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaimin Sun","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726322","display_name":"Hua Li","orcid":"https://orcid.org/0000-0002-0745-035X"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li hua","raw_affiliation_strings":["College of Resources and Environment, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"68","issue":null,"first_page":"2611","last_page":"2614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6849083304405212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6689097881317139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5964748859405518},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.580296516418457},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5438204407691956},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5053814053535461},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47593167424201965},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.43483343720436096},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43192532658576965},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4175560474395752},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3883923888206482},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32774943113327026},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29591140151023865},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10936686396598816}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6849083304405212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6689097881317139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964748859405518},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.580296516418457},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5438204407691956},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5053814053535461},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47593167424201965},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.43483343720436096},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43192532658576965},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4175560474395752},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3883923888206482},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32774943113327026},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29591140151023865},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10936686396598816},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1972281563","https://openalex.org/W1975502124","https://openalex.org/W1980648316","https://openalex.org/W2103447257","https://openalex.org/W2106921140","https://openalex.org/W2167008866","https://openalex.org/W2169657430","https://openalex.org/W2753385162","https://openalex.org/W2766257206","https://openalex.org/W2781721677","https://openalex.org/W6745886152"],"related_works":["https://openalex.org/W2355001665","https://openalex.org/W2158111730","https://openalex.org/W2008518276","https://openalex.org/W2152662390","https://openalex.org/W19246820","https://openalex.org/W4210966920","https://openalex.org/W2156233651","https://openalex.org/W2550009779","https://openalex.org/W2046697080","https://openalex.org/W2125102615"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1,33],"radar":[2,34],"(SAR)":[3,35],"image":[4,19],"classification":[5,28],"is":[6,23,45],"a":[7],"challenging":[8],"subject":[9],"due":[10],"to":[11,25,52],"the":[12,26,49,54,72],"strong":[13],"speckle":[14],"noise":[15],"present":[16],"in":[17,79],"SAR":[18,68],"processing.":[20],"This":[21],"paper":[22],"devoted":[24],"unsupervised":[27],"of":[29,81],"single-band":[30],"single-polarized":[31],"synthetic":[32,65],"images":[36,69],"using":[37],"multilayer":[38,55],"level":[39,56],"set":[40,57],"approach.":[41],"The":[42,60],"principal":[43],"concept":[44],"that":[46,71],"we":[47],"employ":[48],"gamma":[50],"model":[51],"define":[53],"energy":[58],"functional.":[59],"experiments":[61],"conducted":[62],"on":[63],"both":[64,82],"and":[66,84],"real":[67],"show":[70],"proposed":[73],"algorithm":[74],"obtains":[75],"improved":[76],"experimental":[77],"results":[78],"terms":[80],"accuracy":[83],"efficiency.":[85]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
