{"id":"https://openalex.org/W4379806024","doi":"https://doi.org/10.1109/jurse57346.2023.10144210","title":"Semi-supervised segmentation of individual buildings from SAR imagery","display_name":"Semi-supervised segmentation of individual buildings from SAR imagery","publication_year":2023,"publication_date":"2023-05-17","ids":{"openalex":"https://openalex.org/W4379806024","doi":"https://doi.org/10.1109/jurse57346.2023.10144210"},"language":"en","primary_location":{"id":"doi:10.1109/jurse57346.2023.10144210","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/jurse57346.2023.10144210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint Urban Remote Sensing Event (JURSE)","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/A5100624316","display_name":"Qingyu Li","orcid":"https://orcid.org/0000-0003-1067-1222"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Qingyu Li","raw_affiliation_strings":["Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany","Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649796","display_name":"Yao Sun","orcid":"https://orcid.org/0000-0003-2757-1527"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yao Sun","raw_affiliation_strings":["Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany","Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024379450","display_name":"Lichao Mou","orcid":"https://orcid.org/0000-0001-8407-6413"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lichao Mou","raw_affiliation_strings":["Technical University of Munich (TUM) Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),Data Science in Earth Observation,Munich,Germany","Data Science in Earth Observation, Technical University of Munich (TUM) Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich (TUM) Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),Data Science in Earth Observation,Munich,Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Data Science in Earth Observation, Technical University of Munich (TUM) Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Munich, Germany","institution_ids":["https://openalex.org/I2898391981","https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061007704","display_name":"Yilei Shi","orcid":"https://orcid.org/0000-0001-7386-0026"},"institutions":[{"id":"https://openalex.org/I4210111978","display_name":"Remote Sensing Solutions (Germany)","ror":"https://ror.org/023cs4y60","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210111978"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yilei Shi","raw_affiliation_strings":["Technical University of Munich (TUM),Chair of Remote Sensing Technology,Munich,Germany","Chair of Remote Sensing Technology, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich (TUM),Chair of Remote Sensing Technology,Munich,Germany","institution_ids":["https://openalex.org/I4210111978","https://openalex.org/I62916508"]},{"raw_affiliation_string":"Chair of Remote Sensing Technology, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068384981","display_name":"Xiao Xiang Zhu","orcid":"https://orcid.org/0000-0001-5530-3613"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiao Xiang Zhu","raw_affiliation_strings":["Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany","Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4226,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51491695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.8046501874923706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7828035354614258},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6760378479957581},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.607003390789032},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5926651954650879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5711610317230225},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5163223147392273},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.49362051486968994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38365620374679565},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34843575954437256}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8046501874923706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828035354614258},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6760378479957581},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.607003390789032},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5926651954650879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5711610317230225},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5163223147392273},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.49362051486968994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38365620374679565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34843575954437256},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jurse57346.2023.10144210","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/jurse57346.2023.10144210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint Urban Remote Sensing Event (JURSE)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:201209","is_oa":false,"landing_page_url":"https://elib.dlr.de/201209/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzbeitrag"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2047254338","https://openalex.org/W2119764380","https://openalex.org/W3016947168","https://openalex.org/W3034785488","https://openalex.org/W3035680157","https://openalex.org/W3093844393","https://openalex.org/W3127104941","https://openalex.org/W3212929509","https://openalex.org/W4220708699","https://openalex.org/W4280626450","https://openalex.org/W4280634305","https://openalex.org/W4289526352","https://openalex.org/W4293147349","https://openalex.org/W4312813877","https://openalex.org/W6775352204","https://openalex.org/W6786036494","https://openalex.org/W6838156226"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2008656436","https://openalex.org/W2134924024","https://openalex.org/W2023558673","https://openalex.org/W2110230079","https://openalex.org/W1982826852","https://openalex.org/W2613186388","https://openalex.org/W1967061043"],"abstract_inverted_index":{"Buildings":[0],"are":[1,136],"essential":[2],"geo-targets":[3],"that":[4,38,143,157],"contribute":[5],"to":[6,26,45,93,125,162],"the":[7,33,90,94,99,102,107,113,119,147],"monitoring":[8],"of":[9,35,50,106,112,121,131,149],"urban":[10],"development.":[11],"Synthetic":[12],"aperture":[13],"radar":[14],"(SAR)":[15],"provides":[16],"excellent":[17],"opportunities":[18],"for":[19,52,62,118,128],"building":[20,64],"segmentation":[21,65],"as":[22,80,82],"it":[23],"is":[24,144,160],"insensitive":[25],"sunlight":[27],"illumination":[28],"and":[29,104,110,153],"weather":[30],"conditions.":[31],"Nevertheless,":[32],"majority":[34],"existing":[36],"approaches":[37],"exploit":[39],"convolutional":[40],"neural":[41],"networks":[42],"(CNNs),":[43],"need":[44],"collect":[46],"an":[47,58,83],"enormous":[48],"quantity":[49],"annotations":[51],"network":[53],"training.":[54],"Therefore,":[55],"we":[56,97],"propose":[57],"innovative":[59],"semi-supervised":[60],"method":[61],"individual":[63],"from":[66,146],"SAR":[67,141],"imagery.":[68],"Our":[69],"approach":[70,159],"has":[71],"three":[72],"modules:":[73],"a":[74,77,129,140],"weights-shared":[75],"encoder,":[76],"main":[78,114],"decoder":[79,109],"well":[81],"auxiliary":[84,108],"decoder.":[85,115],"For":[86],"unlabeled":[87,123],"samples,":[88],"given":[89],"perturbation":[91],"added":[92],"encoder\u2019s":[95],"output,":[96],"enforce":[98],"consistency":[100],"between":[101],"feature":[103],"output":[105],"those":[111],"This":[116],"allows":[117],"use":[120],"abundant":[122],"samples":[124],"make":[126],"up":[127],"lack":[130],"supervisory":[132],"information.":[133],"The":[134],"experiments":[135],"carried":[137],"out":[138],"on":[139],"dataset":[142],"collected":[145],"city":[148],"Berlin,":[150],"Germany.":[151],"Quantitative":[152],"qualitative":[154],"results":[155],"suggest":[156],"our":[158],"superior":[161],"other":[163],"competitors.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}