{"id":"https://openalex.org/W2969332628","doi":"https://doi.org/10.1109/jurse.2019.8809048","title":"BFGAN \u2013 building footprint extraction from satellite images","display_name":"BFGAN \u2013 building footprint extraction from satellite images","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2969332628","doi":"https://doi.org/10.1109/jurse.2019.8809048","mag":"2969332628"},"language":"en","primary_location":{"id":"doi:10.1109/jurse.2019.8809048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jurse.2019.8809048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5061007704","display_name":"Yilei Shi","orcid":"https://orcid.org/0000-0001-7386-0026"},"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":"Yilei Shi","raw_affiliation_strings":["Chair of Remote Sensing Technology (LMF), Technische Universit\u00e4t M\u00fcnchen (TUM)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Remote Sensing Technology (LMF), Technische Universit\u00e4t M\u00fcnchen (TUM)","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624316","display_name":"Qingyu Li","orcid":"https://orcid.org/0000-0003-1067-1222"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Qingyu Li","raw_affiliation_strings":["Signal Processing in Earth Observation (SIPEO), Technische Universit\u00e4t M\u00fcnchen (TUM)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing in Earth Observation (SIPEO), Technische Universit\u00e4t M\u00fcnchen (TUM)","institution_ids":["https://openalex.org/I4210121626","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/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Xiao Xiang Zhu","raw_affiliation_strings":["Signal Processing in Earth Observation (SIPEO), Technische Universit\u00e4t M\u00fcnchen (TUM)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing in Earth Observation (SIPEO), Technische Universit\u00e4t M\u00fcnchen (TUM)","institution_ids":["https://openalex.org/I4210121626","https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0761,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71751216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9976999759674072,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.8713910579681396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7460641860961914},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6950721144676208},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6051691174507141},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.530937910079956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5107951164245605},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45361968874931335},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.441636323928833},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3877883553504944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36043694615364075},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09625411033630371},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09528565406799316}],"concepts":[{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.8713910579681396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7460641860961914},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6950721144676208},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6051691174507141},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.530937910079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5107951164245605},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45361968874931335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.441636323928833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3877883553504944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36043694615364075},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09625411033630371},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09528565406799316},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jurse.2019.8809048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jurse.2019.8809048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Joint Urban Remote Sensing Event (JURSE)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:134416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/JURSE.2019.8809048>.","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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzbeitrag"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320328348","display_name":"Bayerisch-Kalifornischen Hochschulzentrum","ror":null},{"id":"https://openalex.org/F4320331035","display_name":"Munich Aerospace","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1932847118","https://openalex.org/W1966411833","https://openalex.org/W1975520234","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2194775991","https://openalex.org/W2326674917","https://openalex.org/W2592939477","https://openalex.org/W2764034829","https://openalex.org/W2782522152","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6639824700","https://openalex.org/W6678815747","https://openalex.org/W6734061528","https://openalex.org/W6735913928","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W4318559728","https://openalex.org/W2775233965","https://openalex.org/W4360995913","https://openalex.org/W4312193868","https://openalex.org/W4308165509"],"abstract_inverted_index":{"Building":[0],"footprint":[1,89],"information":[2],"is":[3],"an":[4],"essential":[5],"ingredient":[6],"for":[7,44],"3-D":[8],"reconstruction":[9],"of":[10,16,30,48,87],"urban":[11],"models.":[12],"The":[13,74],"automatic":[14,46],"generation":[15,47,90],"building":[17,31,49,88],"footprints":[18,50],"from":[19,51,64],"satellite":[20,52],"images":[21],"presents":[22],"a":[23,56,60,70],"considerable":[24],"challenge":[25],"due":[26],"to":[27,92],"the":[28,45,65,79,85,97],"complexity":[29],"shapes.":[32],"In":[33,102],"this":[34],"work,":[35],"we":[36],"have":[37],"proposed":[38,80],"improved":[39],"generative":[40,94],"adversarial":[41,95],"networks":[42],"(GANs)":[43],"images.":[53],"We":[54],"used":[55],"conditional":[57,93],"GAN":[58],"with":[59],"cost":[61],"function":[62],"derived":[63],"Wasserstein":[66],"distance":[67],"and":[68,99],"added":[69],"gradient":[71],"penalty":[72],"term.":[73],"achieved":[75],"results":[76],"indicated":[77],"that":[78],"method":[81,105],"can":[82],"significantly":[83],"improve":[84],"quality":[86],"compared":[91],"networks,":[96],"U-Net,":[98],"other":[100],"networks.":[101],"addition,":[103],"our":[104],"nearly":[106],"removes":[107],"all":[108],"hyperparameter":[109],"tuning.":[110]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}