{"id":"https://openalex.org/W3132768213","doi":"https://doi.org/10.1109/igarss39084.2020.9324400","title":"Mapping of Urban Areas from SAR Images via Semantic Segmentation","display_name":"Mapping of Urban Areas from SAR Images via Semantic Segmentation","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3132768213","doi":"https://doi.org/10.1109/igarss39084.2020.9324400","mag":"3132768213"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 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/A5101569604","display_name":"Wenjing He","orcid":"https://orcid.org/0000-0002-1548-1279"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing He","raw_affiliation_strings":["School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences,Beijing","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences,Beijing","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101459832","display_name":"Hongjun Song","orcid":"https://orcid.org/0009-0008-0096-3364"},"institutions":[{"id":"https://openalex.org/I4210117836","display_name":"Space Micro (United States)","ror":"https://ror.org/03bc0qh53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117836"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Hongjun Song","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences,Space Microwave Remote Sensing System Department,Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Space Microwave Remote Sensing System Department,Beijing","institution_ids":["https://openalex.org/I4210117836","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027264586","display_name":"Yuanyuan Yao","orcid":"https://orcid.org/0000-0002-7182-8433"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Yao","raw_affiliation_strings":["School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences,Beijing","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences,Beijing","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039786368","display_name":"Hongying Jia","orcid":"https://orcid.org/0000-0001-8079-1161"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongying Jia","raw_affiliation_strings":["School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences,Beijing","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences,Beijing","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6432,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83690852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1440","last_page":"1443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9948999881744385,"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":0.9948999881744385,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9933000206947327,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7994260787963867},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7354334592819214},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6990024447441101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5919683575630188},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.504336953163147},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4999420642852783},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4956451654434204},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4913922846317291},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4788134694099426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4600411057472229},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4501502513885498},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43028971552848816},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.41437017917633057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39109477400779724},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0997759997844696},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0858984887599945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07626578211784363},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06472060084342957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7994260787963867},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7354334592819214},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6990024447441101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5919683575630188},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.504336953163147},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4999420642852783},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4956451654434204},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4913922846317291},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4788134694099426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4600411057472229},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4501502513885498},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43028971552848816},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.41437017917633057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39109477400779724},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0997759997844696},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0858984887599945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07626578211784363},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06472060084342957},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2064233390","https://openalex.org/W2097117768","https://openalex.org/W2154028886","https://openalex.org/W2165160669","https://openalex.org/W2607456664","https://openalex.org/W2752782242","https://openalex.org/W2804488433","https://openalex.org/W2886912026","https://openalex.org/W2907088929","https://openalex.org/W2997225633","https://openalex.org/W3098740429","https://openalex.org/W6639824700"],"related_works":["https://openalex.org/W3203142394","https://openalex.org/W4390516098","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W2181948922","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2384362569","https://openalex.org/W2017509870","https://openalex.org/W4220731478"],"abstract_inverted_index":{"This":[0],"letter":[1],"proposes":[2],"a":[3,53,60],"new":[4],"semantic":[5,32],"segmentation":[6,33],"network":[7,21],"called":[8],"IGFUnet":[9,107],"to":[10,45,64],"map":[11,86],"the":[12,43,73,84,103],"urban":[13],"areas":[14],"from":[15,91],"large":[16],"scale":[17],"SAR":[18],"images.":[19],"The":[20],"is":[22,28,40],"based":[23,98],"on":[24,68,99],"U-net":[25],"structure":[26],"which":[27],"especially":[29],"suitable":[30],"for":[31],"of":[34,83,105],"small":[35],"data":[36],"set.":[37],"Inception":[38],"module":[39,57,63,75,78],"adopted":[41],"as":[42,59],"encoder":[44],"extract":[46],"rich":[47],"and":[48,76,87,95],"dense":[49],"features.":[50],"We":[51],"develop":[52],"global":[54],"feature":[55,66,85],"attention":[56,62],"(GFA)":[58],"channel":[61],"perform":[65],"correction":[67],"each":[69],"decoding":[70],"layer.":[71],"Combing":[72],"inception":[74],"GFA":[77],"can":[79],"take":[80],"full":[81],"use":[82],"efficiently":[88],"integrate":[89],"features":[90],"different":[92],"scales.":[93],"Qualitative":[94],"quantitative":[96],"experiments":[97],"Sentinel-1A":[100],"have":[101],"proved":[102],"effectiveness":[104],"our":[106],"model.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}