{"id":"https://openalex.org/W4409166359","doi":"https://doi.org/10.1016/j.knosys.2025.113413","title":"SFGNet: Salient-feature-guided real-time building extraction network for remote sensing images","display_name":"SFGNet: Salient-feature-guided real-time building extraction network for remote sensing images","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409166359","doi":"https://doi.org/10.1016/j.knosys.2025.113413"},"language":"en","primary_location":{"id":"doi:10.1016/j.knosys.2025.113413","doi":"https://doi.org/10.1016/j.knosys.2025.113413","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2025.113413","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-b","fnege-4","jufo-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://dx.doi.org/10.2139/ssrn.5033819","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108849890","display_name":"Jin Kuang","orcid":"https://orcid.org/0009-0000-1907-8893","observed_orcids":["https://orcid.org/0009-0000-1907-8893"]},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]},{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Kuang","raw_affiliation_strings":["Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, Xiangnan University, Chenzhou, 423300, Hunan, China","School of Computer and Artificial Intelligence, Xiangnan University, 423300, Chenzhou, Hunan, China","School of Geosciences, Yangtze University, 430100, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0000-1907-8893","affiliations":[{"raw_affiliation_string":"Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, Xiangnan University, Chenzhou, 423300, Hunan, China","institution_ids":["https://openalex.org/I43081956"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Xiangnan University, 423300, Chenzhou, Hunan, China","institution_ids":["https://openalex.org/I43081956"]},{"raw_affiliation_string":"School of Geosciences, Yangtze University, 430100, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407437","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0002-4095-7531","observed_orcids":["https://orcid.org/0000-0002-4095-7531"]},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Liu","raw_affiliation_strings":["Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, Xiangnan University, Chenzhou, 423300, Hunan, China","School of Computer and Artificial Intelligence, Xiangnan University, 423300, Chenzhou, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-4095-7531","affiliations":[{"raw_affiliation_string":"Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, Xiangnan University, Chenzhou, 423300, Hunan, China","institution_ids":["https://openalex.org/I43081956"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Xiangnan University, 423300, Chenzhou, Hunan, China","institution_ids":["https://openalex.org/I43081956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100407437"],"corresponding_institution_ids":["https://openalex.org/I43081956"],"apc_list":{"value":3430,"currency":"USD","value_usd":3430},"apc_paid":null,"fwci":1.6555,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83425437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"317","issue":null,"first_page":"113413","last_page":"113413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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":9.999999747378752e-05,"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/building-extraction","display_name":"building extraction","score":0.9449999928474426},{"id":"https://openalex.org/keywords/building-segmentation","display_name":"building segmentation","score":0.9160000085830688},{"id":"https://openalex.org/keywords/real-time-semantic-segmentation","display_name":"real-time semantic segmentation","score":0.6890000104904175},{"id":"https://openalex.org/keywords/lightweight-neural-networks","display_name":"lightweight neural networks","score":0.6850000023841858},{"id":"https://openalex.org/keywords/salient-feature-extraction","display_name":"salient feature extraction","score":0.859000027179718},{"id":"https://openalex.org/keywords/boundary-features","display_name":"boundary features","score":0.5590000152587891},{"id":"https://openalex.org/keywords/feature-alignment","display_name":"feature alignment","score":0.5180000066757202},{"id":"https://openalex.org/keywords/hybrid-loss-function","display_name":"hybrid loss function","score":0.7639999985694885},{"id":"https://openalex.org/keywords/aerial-remote-sensing-images","display_name":"aerial remote sensing images","score":0.7239999771118164},{"id":"https://openalex.org/keywords/domain-generalization","display_name":"domain generalization","score":0.7670000195503235}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8505417704582214},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6286836862564087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6197246313095093},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5455500483512878},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.51659095287323},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5027279853820801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4688374102115631},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40788376331329346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3270750641822815},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22032064199447632},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.knosys.2025.113413","doi":"https://doi.org/10.1016/j.knosys.2025.113413","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2025.113413","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-b","fnege-4","jufo-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},{"id":"doi:10.2139/ssrn.5033819","doi":"https://doi.org/10.2139/ssrn.5033819","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2139/ssrn.5033819","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.2139/ssrn.5033819","doi":"https://doi.org/10.2139/ssrn.5033819","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2139/ssrn.5033819","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7250000238418579,"display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1529936271","display_name":null,"funder_award_id":"2023JJ50393","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G1700106546","display_name":null,"funder_award_id":"2023JJ50392","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G573132880","display_name":null,"funder_award_id":"23A0588","funder_id":"https://openalex.org/F4320333642","funder_display_name":"Scientific Research Foundation of Hunan Provincial Education Department"}],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320333642","display_name":"Scientific Research Foundation of Hunan Provincial Education Department","ror":null},{"id":"https://openalex.org/F4320335801","display_name":"Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2419448466","https://openalex.org/W2531409750","https://openalex.org/W2592583011","https://openalex.org/W2623331213","https://openalex.org/W2793866399","https://openalex.org/W2886934227","https://openalex.org/W2908320224","https://openalex.org/W2944779197","https://openalex.org/W2955058313","https://openalex.org/W2962780374","https://openalex.org/W2963091558","https://openalex.org/W2963125010","https://openalex.org/W2963890956","https://openalex.org/W2964217532","https://openalex.org/W2982206001","https://openalex.org/W3014641072","https://openalex.org/W3034818236","https://openalex.org/W3133630855","https://openalex.org/W3165745140","https://openalex.org/W3169865585","https://openalex.org/W3175373394","https://openalex.org/W3180008140","https://openalex.org/W3196904463","https://openalex.org/W3198713693","https://openalex.org/W4284973639","https://openalex.org/W4292787077","https://openalex.org/W4303857120","https://openalex.org/W4310745603","https://openalex.org/W4312688875","https://openalex.org/W4315977514","https://openalex.org/W4365445921","https://openalex.org/W4377014219","https://openalex.org/W4385696126","https://openalex.org/W4386047745","https://openalex.org/W4386076267","https://openalex.org/W4386497700","https://openalex.org/W4386609054","https://openalex.org/W4390423615","https://openalex.org/W4391830782","https://openalex.org/W4392578922","https://openalex.org/W4413168666","https://openalex.org/W6846863797","https://openalex.org/W7133196671","https://openalex.org/W7133196682","https://openalex.org/W7133237840"],"related_works":["https://openalex.org/W7138882135","https://openalex.org/W4391972646","https://openalex.org/W7152527350","https://openalex.org/W4280496365","https://openalex.org/W4412514905","https://openalex.org/W4405967990","https://openalex.org/W4291913402","https://openalex.org/W4313546603","https://openalex.org/W7131670206","https://openalex.org/W4229441694"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":7}],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2025-04-05T00:00:00"}
