{"id":"https://openalex.org/W4322743710","doi":"https://doi.org/10.3390/rs15051382","title":"MAFF-HRNet: Multi-Attention Feature Fusion HRNet for Building Segmentation in Remote Sensing Images","display_name":"MAFF-HRNet: Multi-Attention Feature Fusion HRNet for Building Segmentation in Remote Sensing Images","publication_year":2023,"publication_date":"2023-02-28","ids":{"openalex":"https://openalex.org/W4322743710","doi":"https://doi.org/10.3390/rs15051382"},"language":"en","primary_location":{"id":"doi:10.3390/rs15051382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15051382","pdf_url":"https://www.mdpi.com/2072-4292/15/5/1382/pdf?version=1677750758","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/5/1382/pdf?version=1677750758","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026461501","display_name":"Zhihao Che","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Che","raw_affiliation_strings":["School of Information, North China University of Technology, Beijing 100144, China"],"affiliations":[{"raw_affiliation_string":"School of Information, North China University of Technology, Beijing 100144, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057354933","display_name":"Li Shen","orcid":"https://orcid.org/0000-0001-7957-4442"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Shen","raw_affiliation_strings":["Beijing Institute of Remote Sensing, Beijing 100011, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing, Beijing 100011, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040034589","display_name":"Lianzhi Huo","orcid":"https://orcid.org/0000-0001-6705-6453"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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"],"is_corresponding":false,"raw_author_name":"Lianzhi Huo","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101596162","display_name":"Changmiao Hu","orcid":"https://orcid.org/0000-0003-1019-5561"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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"],"is_corresponding":false,"raw_author_name":"Changmiao Hu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325734","display_name":"Yanping Wang","orcid":"https://orcid.org/0000-0002-2344-366X"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Wang","raw_affiliation_strings":["School of Information, North China University of Technology, Beijing 100144, China"],"affiliations":[{"raw_affiliation_string":"School of Information, North China University of Technology, Beijing 100144, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102001223","display_name":"Yao Lu","orcid":"https://orcid.org/0000-0002-1587-0135"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Lu","raw_affiliation_strings":["Beijing Institute of Remote Sensing, Beijing 100011, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing, Beijing 100011, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022557444","display_name":"Fukun Bi","orcid":"https://orcid.org/0000-0003-3501-9142"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fukun Bi","raw_affiliation_strings":["School of Information, North China University of Technology, Beijing 100144, China"],"affiliations":[{"raw_affiliation_string":"School of Information, North China University of Technology, Beijing 100144, China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5022557444"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.4121,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94932172,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"15","issue":"5","first_page":"1382","last_page":"1382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9962999820709229,"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":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.8230952024459839},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6647923588752747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5793136954307556},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5681165456771851},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5258660316467285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4648526906967163},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46397432684898376},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4595050513744354},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.448646605014801},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3625025153160095},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3401315212249756},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08593127131462097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230952024459839},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6647923588752747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5793136954307556},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5681165456771851},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5258660316467285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4648526906967163},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46397432684898376},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4595050513744354},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.448646605014801},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3625025153160095},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3401315212249756},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08593127131462097},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15051382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15051382","pdf_url":"https://www.mdpi.com/2072-4292/15/5/1382/pdf?version=1677750758","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3b480e8cfac449c7a31db26df0e489c0","is_oa":true,"landing_page_url":"https://doaj.org/article/3b480e8cfac449c7a31db26df0e489c0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 5, p 1382 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/5/1382/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15051382","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15051382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15051382","pdf_url":"https://www.mdpi.com/2072-4292/15/5/1382/pdf?version=1677750758","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2933653877","display_name":null,"funder_award_id":"4232022","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G297827280","display_name":null,"funder_award_id":"4232022","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G459744898","display_name":null,"funder_award_id":"4232022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4690177713","display_name":null,"funder_award_id":"61971006","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5470772913","display_name":null,"funder_award_id":"61971006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7264418341","display_name":null,"funder_award_id":"61971006","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7788913422","display_name":null,"funder_award_id":"2019YFE0197800","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G8476189798","display_name":null,"funder_award_id":"2019YFE0197800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G941848927","display_name":null,"funder_award_id":"2019YFE0197800","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4322743710.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1903029394","https://openalex.org/W1966411833","https://openalex.org/W2026723939","https://openalex.org/W2028842634","https://openalex.org/W2042365185","https://openalex.org/W2043102888","https://openalex.org/W2091280333","https://openalex.org/W2098758111","https://openalex.org/W2118843489","https://openalex.org/W2130101385","https://openalex.org/W2130627644","https://openalex.org/W2155632266","https://openalex.org/W2165282790","https://openalex.org/W2183341477","https://openalex.org/W2412782625","https://openalex.org/W2523500206","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2565639579","https://openalex.org/W2733139723","https://openalex.org/W2767045712","https://openalex.org/W2799166040","https://openalex.org/W2895340641","https://openalex.org/W2908320224","https://openalex.org/W2916798096","https://openalex.org/W2921781974","https://openalex.org/W2925148117","https://openalex.org/W2939647427","https://openalex.org/W2963815618","https://openalex.org/W2963855133","https://openalex.org/W2963881378","https://openalex.org/W2974223313","https://openalex.org/W2982014038","https://openalex.org/W3021074965","https://openalex.org/W3082038009","https://openalex.org/W3089783114","https://openalex.org/W3094502228","https://openalex.org/W3104899156","https://openalex.org/W3129544296","https://openalex.org/W3136511740","https://openalex.org/W3161790566","https://openalex.org/W3177052299","https://openalex.org/W3189299628","https://openalex.org/W3199000984","https://openalex.org/W3199068282","https://openalex.org/W4200115777","https://openalex.org/W4225165925","https://openalex.org/W4281397245","https://openalex.org/W6631190155","https://openalex.org/W6661274067","https://openalex.org/W6677648581","https://openalex.org/W6684243969","https://openalex.org/W6739901393","https://openalex.org/W7020680850"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W4321487865","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W4313906399","https://openalex.org/W3150439626","https://openalex.org/W2060887160","https://openalex.org/W2368367751"],"abstract_inverted_index":{"Built-up":[0],"areas":[1,17,206],"and":[2,18,35,95,139,160,193,204],"buildings":[3,19,203],"are":[4],"two":[5],"main":[6],"targets":[7],"in":[8],"remote":[9,208],"sensing":[10,209],"research;":[11],"consequently,":[12],"automatic":[13],"extraction":[14],"of":[15,30,62,74,92,99,122,158,169],"built-up":[16,205],"has":[20],"attracted":[21],"extensive":[22],"attention.":[23],"This":[24],"task":[25],"is":[26,115],"usually":[27],"difficult":[28],"because":[29],"boundary":[31],"blur,":[32],"object":[33],"occlusion,":[34,107],"intra-class":[36,100],"inconsistency.":[37,101],"In":[38,77],"this":[39],"paper,":[40],"we":[41,79,173],"propose":[42],"the":[43,70,75,89,97,120,123,133,140,154,166,170,180,185],"multi-attention":[44],"feature":[45,65,111],"fusion":[46],"HRNet,":[47],"MAFF-HRNet,":[48],"which":[49,87],"can":[50,200],"retain":[51],"more":[52],"detailed":[53],"features":[54],"to":[55,106,118,184],"achieve":[56],"accurate":[57],"semantic":[58,72,148],"segmentation.":[59],"The":[60],"design":[61],"a":[63,81,108,175],"pyramidal":[64],"attention":[66,84,110],"(PFA)":[67],"hierarchy":[68],"enhances":[69],"multilevel":[71],"representation":[73],"model.":[76],"addition,":[78],"develop":[80],"mixed":[82],"convolutional":[83],"(MCA)":[85],"block,":[86],"increases":[88],"capture":[90],"range":[91],"receptive":[93],"fields":[94],"overcomes":[96],"problem":[98],"To":[102,163],"alleviate":[103],"interference":[104],"due":[105],"multiscale":[109],"aggregation":[112],"(MAFA)":[113],"block":[114],"also":[116],"proposed":[117,171],"enhance":[119],"restoration":[121],"final":[124],"prediction":[125],"map.":[126],"Our":[127],"approach":[128],"was":[129],"systematically":[130],"tested":[131],"on":[132,179],"WHU":[134],"(Wuhan":[135],"University)":[136],"Building":[137],"Dataset":[138,182],"Massachusetts":[141],"Buildings":[142],"Dataset.":[143],"Compared":[144],"with":[145],"other":[146],"advanced":[147],"segmentation":[149],"models,":[150],"our":[151,198],"model":[152,177,199],"achieved":[153],"best":[155],"IoU":[156],"results":[157],"91.69%":[159],"68.32%,":[161],"respectively.":[162],"further":[164],"evaluate":[165],"application":[167],"significance":[168],"model,":[172],"migrated":[174],"pretrained":[176],"based":[178],"World-Cover":[181],"training":[183],"Gaofen":[186],"16":[187],"m":[188],"dataset":[189],"for":[190],"testing.":[191],"Quantitative":[192],"qualitative":[194],"experiments":[195],"show":[196],"that":[197],"accurately":[201],"segment":[202],"from":[207],"images.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}