{"id":"https://openalex.org/W4386698241","doi":"https://doi.org/10.1109/geoinformatics60313.2023.10247705","title":"SwinUCDNet: A UNet-like Network With Union Attention for Cropland Change Detection of Aerial Images","display_name":"SwinUCDNet: A UNet-like Network With Union Attention for Cropland Change Detection of Aerial Images","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4386698241","doi":"https://doi.org/10.1109/geoinformatics60313.2023.10247705"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics60313.2023.10247705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics60313.2023.10247705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 30th International Conference on Geoinformatics","raw_type":"proceedings-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/A5018457826","display_name":"Zehua Wu","orcid":"https://orcid.org/0000-0001-7006-3232"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zehua Wu","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016381716","display_name":"Ying Chen","orcid":"https://orcid.org/0000-0002-1074-6071"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Chen","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112701467","display_name":"Xiaoliang Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Meng","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102022836","display_name":"Y. Huang","orcid":"https://orcid.org/0000-0002-0236-2609"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiwen Huang","raw_affiliation_strings":["Guangxi Taihui Information Technology Co., LTD,Guilin,China","Guangxi Taihui Information Technology Co., LTD, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Taihui Information Technology Co., LTD,Guilin,China","institution_ids":[]},{"raw_affiliation_string":"Guangxi Taihui Information Technology Co., LTD, Guilin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102792143","display_name":"Tinghao Li","orcid":"https://orcid.org/0000-0001-7203-8911"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tinghao Li","raw_affiliation_strings":["Hubei University,School of Resources and Environmental Science,Wuhan,China","School of Resources and Environmental Science, Hubei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei University,School of Resources and Environmental Science,Wuhan,China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"School of Resources and Environmental Science, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101258336","display_name":"Jieyan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieyan Sun","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018457826"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.8124,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76232808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9977999925613403,"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":0.9977999925613403,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7670238018035889},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6530089378356934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6398562788963318},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.612292468547821},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5509572625160217},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5340200066566467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4847102165222168},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.44775882363319397},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35392701625823975},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3399829864501953},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11266902089118958},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09753510355949402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670238018035889},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6530089378356934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6398562788963318},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.612292468547821},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5509572625160217},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5340200066566467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4847102165222168},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.44775882363319397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35392701625823975},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3399829864501953},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11266902089118958},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09753510355949402},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/geoinformatics60313.2023.10247705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics60313.2023.10247705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 30th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2003815199","https://openalex.org/W2006383776","https://openalex.org/W2020141522","https://openalex.org/W2034546021","https://openalex.org/W2051898806","https://openalex.org/W2067055509","https://openalex.org/W2081829028","https://openalex.org/W2132222679","https://openalex.org/W2140815821","https://openalex.org/W2146302196","https://openalex.org/W2148333466","https://openalex.org/W2323766577","https://openalex.org/W2540777836","https://openalex.org/W2552805558","https://openalex.org/W2919115771","https://openalex.org/W2939647427","https://openalex.org/W3027201985","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3093969495","https://openalex.org/W3094502228","https://openalex.org/W3128592650","https://openalex.org/W3133726918","https://openalex.org/W3138516171","https://openalex.org/W3154634026","https://openalex.org/W3161825146","https://openalex.org/W3180045188","https://openalex.org/W3182928821","https://openalex.org/W4210373525","https://openalex.org/W4214893857","https://openalex.org/W4226289601","https://openalex.org/W4283450732","https://openalex.org/W4285298122","https://openalex.org/W4312490547","https://openalex.org/W4382317739","https://openalex.org/W6777579383","https://openalex.org/W6784333009","https://openalex.org/W6791113896","https://openalex.org/W6846856451"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W4390516098","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2181948922","https://openalex.org/W2015705630"],"abstract_inverted_index":{"Cropland":[0],"conversion":[1],"disrupt":[2],"local":[3],"agricultural":[4],"production":[5],"systems":[6],"and":[7,27,46,83,86,127,156,163],"pose":[8],"a":[9,32,73,102,120,138,145],"serious":[10],"threat":[11],"to":[12,40,133],"global":[13],"food":[14],"security.":[15],"The":[16,64,142,161],"use":[17],"of":[18,53,75,95,144,165],"remote":[19,115],"sensing":[20,116],"for":[21,90,108],"change":[22,42,154],"detection":[23,43],"(CD)":[24],"can":[25],"detect":[26],"prevent":[28],"such":[29],"events":[30],"in":[31,72,97,111,137],"timely":[33],"manner.":[34],"However,":[35],"existing":[36],"CD":[37,176],"methods":[38],"struggle":[39],"produce":[41],"results":[44],"efficiently":[45],"accurately.":[47],"Additionally,":[48],"the":[49,54,68,125,135,166],"limited":[50],"receptive":[51],"field":[52],"convolution":[55],"process":[56],"prevents":[57],"CNN-based":[58],"approaches":[59],"from":[60],"catching":[61],"long-range":[62,92],"relationships.":[63,93],"Vision":[65],"Transformer,":[66],"on":[67],"other":[69],"hand,":[70],"excels":[71],"variety":[74],"vision-related":[76],"tasks,":[77],"including":[78],"picture":[79],"classification,":[80],"object":[81],"detection,":[82],"semantic":[84],"segmentation,":[85],"has":[87],"significant":[88],"promise":[89],"modeling":[91],"Because":[94],"this,":[96],"this":[98],"research":[99],"we":[100],"suggest":[101],"UNet-like":[103],"network":[104],"with":[105,149,174],"union":[106],"attention":[107],"detecting":[109],"changes":[110],"cropland":[112],"using":[113],"aerial":[114],"images.":[117],"We":[118],"utilize":[119],"Swin":[121],"Transformer":[122,131],"backbone":[123],"as":[124],"encoder":[126],"an":[128],"effective":[129],"union-attention":[130],"block":[132],"build":[134],"decoder":[136],"Transformer-based":[139],"encoder-decoder":[140],"structure.":[141],"application":[143],"multibranch":[146],"prediction":[147],"head":[148],"two":[150],"CNN":[151],"classifiers":[152],"yields":[153],"maps":[155],"enhances":[157],"deep":[158],"layer":[159],"supervision.":[160],"effectiveness":[162],"advantages":[164],"SwinUCDNet":[167],"have":[168],"been":[169],"demonstrated":[170],"through":[171],"comparative":[172],"experiments":[173],"several":[175],"methods.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
