{"id":"https://openalex.org/W4398232948","doi":"https://doi.org/10.1145/3652628.3652667","title":"Research on crop classification algorithm for time-series remote sensing images with improved U-net++ incorporating dual attention.","display_name":"Research on crop classification algorithm for time-series remote sensing images with improved U-net++ incorporating dual attention.","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4398232948","doi":"https://doi.org/10.1145/3652628.3652667"},"language":"en","primary_location":{"id":"doi:10.1145/3652628.3652667","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652628.3652667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","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/A5098769724","display_name":"Xingwang Yan","orcid":"https://orcid.org/0009-0005-7759-5510"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwang Yan","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0005-7759-5510","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011489416","display_name":"Yong Yang","orcid":"https://orcid.org/0009-0004-2806-1523"},"institutions":[{"id":"https://openalex.org/I4210102701","display_name":"Jilin Vocational College of Industry and Technology","ror":"https://ror.org/017s6v868","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102701"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yang","raw_affiliation_strings":["School of Software, Jilin Technology College of Electronic Information, China"],"raw_orcid":"https://orcid.org/0009-0004-2806-1523","affiliations":[{"raw_affiliation_string":"School of Software, Jilin Technology College of Electronic Information, China","institution_ids":["https://openalex.org/I4210102701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088502077","display_name":"Fuheng Qu","orcid":"https://orcid.org/0009-0002-7763-2826"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuheng Qu","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-7763-2826","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"229","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9603999853134155,"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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9603999853134155,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9599999785423279,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9449999928474426,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8549984693527222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6567137241363525},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5225483775138855},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5152595043182373},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.511043906211853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5055069923400879},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5042136907577515},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48367366194725037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44427090883255005},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.44026854634284973},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4261499345302582},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4169517457485199},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3414422869682312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3363783359527588},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32709944248199463},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18652072548866272},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0763293206691742}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8549984693527222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567137241363525},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5225483775138855},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5152595043182373},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.511043906211853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5055069923400879},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5042136907577515},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48367366194725037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44427090883255005},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.44026854634284973},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4261499345302582},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4169517457485199},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3414422869682312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3363783359527588},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32709944248199463},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18652072548866272},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0763293206691742},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652628.3652667","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652628.3652667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.5299999713897705,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1998281138","https://openalex.org/W2085289201","https://openalex.org/W2171599506","https://openalex.org/W3177052299","https://openalex.org/W3197029324","https://openalex.org/W4220863497","https://openalex.org/W6605862315"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1995889410","https://openalex.org/W1517037119","https://openalex.org/W4389779246","https://openalex.org/W1545767927"],"abstract_inverted_index":{"In":[0],"multispectral":[1,19],"remote":[2,20,31,201],"sensing":[3,21,32,202],"image":[4,33,204],"crop":[5,44,77,203],"classification,":[6,78],"in":[7,63,101,123,144,165,180],"order":[8],"to":[9,28,58,130,151,157],"make":[10],"full":[11],"use":[12],"of":[13,18,34,43,127,135,148,162,176,199],"the":[14,30,41,47,53,64,68,88,96,102,105,110,117,124,128,132,139,145,149,159,166,174,177,197],"complete":[15],"spectral":[16],"information":[17],"image,":[22],"time":[23,37],"series":[24],"data":[25],"were":[26],"used":[27],"replace":[29],"a":[35],"single":[36],"scene,":[38],"which":[39,194],"improved":[40,100,106,184],"accuracy":[42,175],"classification.":[45,205],"Meanwhile,":[46],"original":[48,69],"U-net++":[49,54,70,97,107],"algorithm":[50,55,71,108],"based":[51,92],"on":[52,93],"was":[56,72],"utilised":[57],"classify":[59],"and":[60,67,85,104,156,187,192],"extract":[61],"crops":[62,164],"study":[65],"area,":[66],"not":[73],"accurate":[74],"enough":[75],"for":[76,83],"with":[79,190],"poor":[80],"extraction":[81,133,155,161],"ability":[82,134],"maize":[84],"soybean":[86],"during":[87],"growing":[89,167],"period.":[90,168],"Therefore,":[91],"these":[94],"problems,":[95],"model":[98,129,150],"is":[99,114,121,142,183],"paper,":[103],"incorporating":[109],"dual":[111],"attention":[112,119],"mechanism":[113],"proposed.":[115],"Firstly,":[116],"CA":[118],"module":[120,141],"added":[122,143],"down-sampling":[125],"stage":[126,147],"enhance":[131,158],"shallow":[136],"information;":[137],"secondly,":[138],"ULSAM":[140],"up-sampling":[146],"realise":[152],"multi-scale":[153],"feature":[154],"fine":[160],"different":[163],"The":[169],"experimental":[170],"results":[171],"show":[172],"that":[173],"proposed":[178],"method":[179],"this":[181],"paper":[182],"by":[185],"3%":[186],"0.7%":[188],"compared":[189],"UNet":[191],"UNet++,":[193],"can":[195],"meet":[196],"needs":[198],"multi-spectral":[200]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}