{"id":"https://openalex.org/W3207122433","doi":"https://doi.org/10.1142/s0218001421590497","title":"An Image Change Detection Algorithm Based on Multi-Feature Self-Attention Fusion Mechanism UNet Network","display_name":"An Image Change Detection Algorithm Based on Multi-Feature Self-Attention Fusion Mechanism UNet Network","publication_year":2021,"publication_date":"2021-10-14","ids":{"openalex":"https://openalex.org/W3207122433","doi":"https://doi.org/10.1142/s0218001421590497","mag":"3207122433"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001421590497","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001421590497","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5074253902","display_name":"Gulnaz Alimjan","orcid":"https://orcid.org/0000-0001-5390-2604"},"institutions":[{"id":"https://openalex.org/I3130859241","display_name":"Yili Normal University","ror":"https://ror.org/019htgm96","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130859241"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gulnaz Alimjan","raw_affiliation_strings":["Department of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang Uygur Autonomous Region 835000, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-5390-2604","affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang Uygur Autonomous Region 835000, P. R. China","institution_ids":["https://openalex.org/I3130859241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037202327","display_name":"Yiliyaer Jiaermuhamaiti","orcid":"https://orcid.org/0000-0003-2045-5881"},"institutions":[{"id":"https://openalex.org/I3130859241","display_name":"Yili Normal University","ror":"https://ror.org/019htgm96","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130859241"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiliyaer Jiaermuhamaiti","raw_affiliation_strings":["Department of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang Uygur Autonomous Region 835000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang Uygur Autonomous Region 835000, P. R. China","institution_ids":["https://openalex.org/I3130859241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035396906","display_name":"Huxidan Jumahong","orcid":"https://orcid.org/0000-0002-2461-7633"},"institutions":[{"id":"https://openalex.org/I3130859241","display_name":"Yili Normal University","ror":"https://ror.org/019htgm96","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130859241"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huxidan Jumahong","raw_affiliation_strings":["Department of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang Uygur Autonomous Region 835000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang Uygur Autonomous Region 835000, P. R. China","institution_ids":["https://openalex.org/I3130859241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019836400","display_name":"Shuangling Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I3130859241","display_name":"Yili Normal University","ror":"https://ror.org/019htgm96","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130859241"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangling Zhu","raw_affiliation_strings":["Department of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang Uygur Autonomous Region 835000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang Uygur Autonomous Region 835000, P. R. China","institution_ids":["https://openalex.org/I3130859241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081516218","display_name":"Pazilat Nurmamat","orcid":null},"institutions":[{"id":"https://openalex.org/I3130859241","display_name":"Yili Normal University","ror":"https://ror.org/019htgm96","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130859241"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pazilat Nurmamat","raw_affiliation_strings":["Department of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang Uygur Autonomous Region 835000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang Uygur Autonomous Region 835000, P. R. China","institution_ids":["https://openalex.org/I3130859241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037202327"],"corresponding_institution_ids":["https://openalex.org/I3130859241"],"apc_list":null,"apc_paid":null,"fwci":2.0219,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88108525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"35","issue":"14","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9943000078201294,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9843999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.760608434677124},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6192749738693237},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6053154468536377},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6009538173675537},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5519093871116638},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.5205293893814087},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5172891616821289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5003457069396973},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.46686863899230957},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45227769017219543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4460964500904083},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4209712743759155},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.2783324718475342},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27190840244293213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760608434677124},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6192749738693237},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6053154468536377},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6009538173675537},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5519093871116638},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.5205293893814087},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5172891616821289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5003457069396973},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.46686863899230957},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45227769017219543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4460964500904083},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4209712743759155},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2783324718475342},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27190840244293213},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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:10.1142/s0218001421590497","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001421590497","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1056337486","display_name":null,"funder_award_id":"61663045","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1938976761","https://openalex.org/W1948751323","https://openalex.org/W1968573840","https://openalex.org/W1974776350","https://openalex.org/W1979061792","https://openalex.org/W2029161185","https://openalex.org/W2036798369","https://openalex.org/W2086613190","https://openalex.org/W2135228726","https://openalex.org/W2140023211","https://openalex.org/W2144552105","https://openalex.org/W2154451793","https://openalex.org/W2157026765","https://openalex.org/W2160544350","https://openalex.org/W2161570034","https://openalex.org/W2165577558","https://openalex.org/W2325631530","https://openalex.org/W2531409750","https://openalex.org/W2550553598","https://openalex.org/W2741377155","https://openalex.org/W2751993439","https://openalex.org/W2792827505","https://openalex.org/W2809328251","https://openalex.org/W2884276099","https://openalex.org/W2884585870","https://openalex.org/W2891511539","https://openalex.org/W2896365540","https://openalex.org/W2910587630","https://openalex.org/W2919115771","https://openalex.org/W2951991161","https://openalex.org/W2955058313","https://openalex.org/W2962891704","https://openalex.org/W2981689412","https://openalex.org/W2984954051","https://openalex.org/W3012456963","https://openalex.org/W3017153481","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3099503507","https://openalex.org/W3099831940","https://openalex.org/W3102127038"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W4293226380","https://openalex.org/W3181296946","https://openalex.org/W196800607","https://openalex.org/W2376528221","https://openalex.org/W2359428812","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Various":[0],"UNet":[1,76,81,99,116,140],"architecture-based":[2],"image":[3,11,65],"change":[4,12,66],"detection":[5,67],"algorithms":[6],"promote":[7],"the":[8,22,25,40,55,71,94,107,112,134,149,156,164,187,200],"development":[9],"of":[10,98,114,136,139,175,204],"detection,":[13],"but":[14],"there":[15],"are":[16,28],"still":[17],"some":[18],"defects.":[19],"First,":[20],"under":[21],"encoder\u2013decoder":[23],"framework,":[24],"low-level":[26],"features":[27],"extracted":[29],"many":[30],"times":[31],"in":[32],"multiple":[33],"dimensions,":[34],"which":[35,147],"generates":[36],"redundant":[37],"information;":[38],"second,":[39],"relationship":[41],"between":[42,93],"each":[43,137],"feature":[44,57],"layer":[45,138],"is":[46,118,141,160,178],"not":[47],"modeled":[48],"so":[49,133],"sufficiently":[50],"that":[51],"it":[52],"cannot":[53],"produce":[54],"optimal":[56],"differentiation":[58],"representation.":[59],"This":[60],"paper":[61,177],"proposes":[62],"a":[63,125,144],"remote":[64],"algorithm":[68],"based":[69],"on":[70],"multi-feature":[72,90],"self-attention":[73,83,91],"fusion":[74,84],"mechanism":[75,92],"network,":[77],"abbreviated":[78],"as":[79,143],"MFSAF":[80],"(multi-feature":[82],"UNet).":[85],"We":[86],"attempt":[87],"to":[88,100,121,152,170,181],"add":[89],"encoder":[95],"and":[96,105,124,155,185,192,202],"decoder":[97],"obtain":[101],"richer":[102],"context":[103],"dependence":[104],"overcome":[106],"two":[108],"above-mentioned":[109],"restrictions.":[110],"Since":[111],"capacity":[113],"convolution-based":[115],"network":[117,122,128,151],"directly":[119],"proportional":[120],"depth,":[123],"deeper":[126],"convolutional":[127],"means":[129],"more":[130],"training":[131],"parameters,":[132],"convolution":[135,166],"replaced":[142],"separated":[145],"convolution,":[146],"makes":[148],"entire":[150],"be":[153],"lighter":[154],"model\u2019s":[157],"execution":[158],"efficiency":[159],"slightly":[161],"better":[162],"than":[163],"traditional":[165],"operation.":[167],"In":[168],"addition":[169],"these,":[171],"another":[172],"innovation":[173],"point":[174],"this":[176,205],"using":[179],"preference":[180],"control":[182],"loss":[183],"function":[184],"meet":[186],"demands":[188],"for":[189],"different":[190],"accuracies":[191],"recall":[193],"rates.":[194],"The":[195],"simulation":[196],"test":[197],"results":[198],"verify":[199],"validity":[201],"robustness":[203],"approach.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}