{"id":"https://openalex.org/W4290712790","doi":"https://doi.org/10.1109/lgrs.2022.3197319","title":"CSA-UNet: Channel-Spatial Attention-Based Encoder\u2013Decoder Network for Rural Blue-Roofed Building Extraction From UAV Imagery","display_name":"CSA-UNet: Channel-Spatial Attention-Based Encoder\u2013Decoder Network for Rural Blue-Roofed Building Extraction From UAV Imagery","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4290712790","doi":"https://doi.org/10.1109/lgrs.2022.3197319"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3197319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3197319","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","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/A5101735163","display_name":"Xu Shi","orcid":"https://orcid.org/0009-0000-5154-7135"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Shi","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829389","display_name":"Hong Huang","orcid":"https://orcid.org/0000-0002-7377-3077"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Huang","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001042029","display_name":"Chunyu Pu","orcid":null},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyu Pu","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100831517","display_name":"Yinming Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinming Yang","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101635746","display_name":"Jie Xue","orcid":"https://orcid.org/0000-0001-7015-1988"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xue","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101735163"],"corresponding_institution_ids":["https://openalex.org/I50632499"],"apc_list":null,"apc_paid":null,"fwci":2.7525,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.913409,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9961000084877014,"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":0.9961000084877014,"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":0.987500011920929,"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":0.9797999858856201,"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":0.7438620328903198},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6826526522636414},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5799206495285034},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5745372176170349},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.548285186290741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.523205041885376},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4197654724121094},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41851913928985596},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4035698473453522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3732697069644928},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3246421813964844},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21690180897712708},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12476086616516113},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09086400270462036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7438620328903198},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6826526522636414},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5799206495285034},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5745372176170349},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.548285186290741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.523205041885376},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4197654724121094},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41851913928985596},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4035698473453522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3732697069644928},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3246421813964844},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21690180897712708},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12476086616516113},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09086400270462036},{"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/lgrs.2022.3197319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3197319","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G6595558094","display_name":null,"funder_award_id":"42071302","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2560023338","https://openalex.org/W2735039185","https://openalex.org/W2776462702","https://openalex.org/W2884585870","https://openalex.org/W2888358068","https://openalex.org/W2927945203","https://openalex.org/W2963881378","https://openalex.org/W2982206001","https://openalex.org/W2996290406","https://openalex.org/W3028636477","https://openalex.org/W3038059221","https://openalex.org/W3038091703","https://openalex.org/W3098881417","https://openalex.org/W3104035745","https://openalex.org/W3105636206","https://openalex.org/W3112139896","https://openalex.org/W3112929693","https://openalex.org/W3126435384","https://openalex.org/W3129627777","https://openalex.org/W3139009748","https://openalex.org/W3148283428","https://openalex.org/W3156066202","https://openalex.org/W3195014212","https://openalex.org/W3195858154","https://openalex.org/W3198533054","https://openalex.org/W3200959564","https://openalex.org/W3202921355","https://openalex.org/W3215100961","https://openalex.org/W4206383524","https://openalex.org/W4225630686","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W2073139667","https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W4287995534","https://openalex.org/W2743258233","https://openalex.org/W2998168123","https://openalex.org/W2285052147","https://openalex.org/W2806866760"],"abstract_inverted_index":{"Building":[0],"extraction":[1,25,73,94],"is":[2,14,29,50,88,140,187,200],"a":[3,15,30,82,136,161,181],"critical":[4],"part":[5],"of":[6,45,52,104,115,132,164],"remote":[7],"sensing":[8],"(RS)":[9],"image":[10],"interpretation,":[11],"and":[12,39,58,117,122,152],"it":[13],"popular":[16],"research":[17],"topic":[18],"in":[19,55,74],"the":[20,79,101,106,112,126,130,154,198],"RS":[21,27,97],"community.":[22],"However,":[23],"building":[24,72,93],"from":[26,96],"images":[28],"difficult":[31],"task":[32],"due":[33],"to":[34,111,145,148,175],"its":[35],"various":[36],"shape,":[37],"size,":[38],"complex":[40],"scene.":[41],"The":[42],"extracted":[43],"feature":[44],"existing":[46],"deep":[47],"learning":[48],"methods":[49],"lack":[51],"discrimination,":[53],"resulting":[54],"incomplete":[56],"buildings":[57,159,171],"irregular":[59],"boundaries.":[60],"Most":[61],"studies":[62],"are":[63,160],"mainly":[64],"concentrated":[65],"on":[66],"urban":[67],"areas,":[68],"ignoring":[69],"illegal":[70,165],"blue-roofed":[71,92,158,170],"rural":[75,91],"areas.":[76],"To":[77,99],"address":[78],"above-mentioned":[80],"problems,":[81],"channel-spatial":[83,109],"attention-based":[84],"encoder-decoder":[85],"network":[86],"(CSA-UNet)":[87],"proposed":[89],"for":[90,119],"tasks":[95],"images.":[98],"extract":[100],"key":[102],"areas":[103],"buildings,":[105],"CSA-UNet":[107,155,199],"employed":[108],"attention":[110],"fused":[113],"features":[114],"encoder":[116],"decoder":[118],"achieving":[120],"discriminative":[121],"attentive":[123],"features.":[124],"At":[125],"same":[127],"time,":[128],"considering":[129],"problem":[131,151],"false":[133],"negative":[134],"predictions,":[135],"joint":[137],"loss":[138],"function":[139],"designed":[141],"by":[142],"giving":[143],"weight":[144],"positive":[146],"samples":[147],"alleviate":[149],"this":[150],"optimize":[153],"model.":[156],"Furthermore,":[157],"special":[162],"type":[163],"building,":[166],"so":[167],"we":[168],"take":[169],"as":[172],"an":[173],"example":[174],"carry":[176],"out":[177],"related":[178],"research.":[179],"And":[180],"blue":[182],"roof":[183],"dataset":[184],"termed":[185],"UAVBlue":[186],"built":[188],"through":[189],"unmanned":[190],"aerial":[191],"vehicle":[192],"(UAV).":[193],"Experimental":[194],"results":[195],"exhibit":[196],"that":[197],"better":[201],"than":[202],"some":[203],"state-of-the-art":[204],"(SOTA)":[205],"methods.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
