{"id":"https://openalex.org/W4224067506","doi":"https://doi.org/10.3390/ijgi11040263","title":"Hybrid-TransCD: A Hybrid Transformer Remote Sensing Image Change Detection Network via Token Aggregation","display_name":"Hybrid-TransCD: A Hybrid Transformer Remote Sensing Image Change Detection Network via Token Aggregation","publication_year":2022,"publication_date":"2022-04-17","ids":{"openalex":"https://openalex.org/W4224067506","doi":"https://doi.org/10.3390/ijgi11040263"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi11040263","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11040263","pdf_url":"https://www.mdpi.com/2220-9964/11/4/263/pdf?version=1650251038","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/11/4/263/pdf?version=1650251038","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076628946","display_name":"Qingtian Ke","orcid":"https://orcid.org/0000-0001-7375-8320"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingtian Ke","raw_affiliation_strings":["School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779162","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-5267-0936"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100779162"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":5.6358,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.96523043,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"11","issue":"4","first_page":"263","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.995199978351593,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9749000072479248,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7829769849777222},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.6542927026748657},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.605771005153656},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.579720139503479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5595206022262573},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.4241734743118286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41852378845214844},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3900882303714752},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21792307496070862},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.1540062427520752},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10749205946922302},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09347608685493469}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829769849777222},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.6542927026748657},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.605771005153656},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.579720139503479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5595206022262573},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.4241734743118286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41852378845214844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3900882303714752},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21792307496070862},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.1540062427520752},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10749205946922302},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09347608685493469},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi11040263","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11040263","pdf_url":"https://www.mdpi.com/2220-9964/11/4/263/pdf?version=1650251038","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:82e5170f8d164537a3ae17b608484692","is_oa":true,"landing_page_url":"https://doaj.org/article/82e5170f8d164537a3ae17b608484692","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":"ISPRS International Journal of Geo-Information, Vol 11, Iss 4, p 263 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/11/4/263/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi11040263","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":"ISPRS International Journal of Geo-Information; Volume 11; Issue 4; Pages: 263","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi11040263","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11040263","pdf_url":"https://www.mdpi.com/2220-9964/11/4/263/pdf?version=1650251038","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224067506.pdf","grobid_xml":"https://content.openalex.org/works/W4224067506.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2884436604","https://openalex.org/W2947010533","https://openalex.org/W2999725795","https://openalex.org/W3000518130","https://openalex.org/W3009942016","https://openalex.org/W3012456963","https://openalex.org/W3027201985","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3120467244","https://openalex.org/W3130754787","https://openalex.org/W3131500599","https://openalex.org/W3134173255","https://openalex.org/W3138516171","https://openalex.org/W3152747703","https://openalex.org/W3168825659","https://openalex.org/W3176330035","https://openalex.org/W3194968429","https://openalex.org/W3196470064","https://openalex.org/W3200451575","https://openalex.org/W3211465673","https://openalex.org/W4214601273","https://openalex.org/W6790731625","https://openalex.org/W6797500923"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W4385574037","https://openalex.org/W4386075645","https://openalex.org/W4304700937"],"abstract_inverted_index":{"Existing":[0],"optical":[1],"remote":[2,36,121,247],"sensing":[3,248],"image":[4,100,135],"change":[5,51,123],"detection":[6,52],"(CD)":[7],"methods":[8],"aim":[9],"to":[10,83,104,150,191,201,254],"learn":[11,84],"an":[12,67],"appropriate":[13],"discriminate":[14],"decision":[15],"by":[16,231],"analyzing":[17],"the":[18,26,30,59,145,178,237,240],"feature":[19,86,223],"information":[20],"of":[21,133,144,197,239,270],"bitemporal":[22],"images":[23,37,122],"obtained":[24],"at":[25,130],"same":[27],"place.":[28],"However,":[29],"complex":[31],"scenes":[32],"in":[33],"high-resolution":[34],"(HR)":[35],"cause":[38],"unsatisfied":[39],"results,":[40],"especially":[41],"for":[42,70,119,226],"some":[43],"irregular":[44],"and":[45,61,164,272],"occluded":[46],"objects.":[47],"Although":[48],"recent":[49],"self-attention-driven":[50],"models":[53,95,127],"with":[54,174,268],"CNN":[55],"achieve":[56],"promising":[57],"effects,":[58],"computational":[60,216],"consumed":[62],"parameters":[63],"costs":[64],"emerge":[65],"as":[66],"impassable":[68],"gap":[69],"HR":[71,120,246],"images.":[72],"In":[73,90],"this":[74],"paper,":[75],"we":[76,112,181,219],"utilize":[77],"a":[78,114,137,184,221],"transformer":[79,94,117,147,187],"structure":[80,148],"replacing":[81],"self-attention":[82,139],"stronger":[85],"representations":[87],"per":[88],"image.":[89],"addition,":[91],"concurrent":[92],"vision":[93],"only":[96],"consider":[97],"tokenizing":[98],"single-dimensional":[99],"tokens,":[101,204],"thus":[102,159],"failing":[103],"build":[105],"multi-scale":[106,116,194],"long-range":[107],"interactions":[108],"among":[109],"features.":[110,166,199],"Here,":[111],"propose":[113,220],"hybrid":[115,131,146,185],"module":[118],"detection,":[124],"which":[125],"fully":[126],"representation":[128],"attentions":[129],"scales":[132],"each":[134],"via":[136],"fine-grained":[138,165],"mechanism.":[140],"The":[141],"key":[142],"idea":[143],"is":[149],"establish":[151],"heterogeneous":[152],"semantic":[153],"tokens":[154],"containing":[155],"multiple":[156],"receptive":[157],"fields,":[158],"simultaneously":[160],"preserving":[161],"large":[162],"object":[163],"For":[167],"building":[168],"relationships":[169],"between":[170],"features":[171,212,230],"without":[172,213],"embedding":[173],"token":[175],"sequences":[176],"from":[177],"Siamese":[179],"tokenizer,":[180],"also":[182],"introduced":[183],"difference":[186,233],"decoder":[188,224],"(HDTD)":[189],"layer":[190,207],"further":[192],"strengthen":[193],"global":[195],"dependencies":[196],"high-level":[198],"Compared":[200,253],"capturing":[202],"single-stream":[203],"our":[205,257],"HDTD":[206],"directly":[208],"focuses":[209],"representing":[210],"differential":[211],"increasing":[214],"exponential":[215],"cost.":[217],"Finally,":[218],"cascade":[222],"(CFD)":[225],"aggregating":[227],"different-dimensional":[228],"upsampling":[229],"establishing":[232],"skip-connections.":[234],"To":[235],"evaluate":[236],"effectiveness":[238],"proposed":[241],"method,":[242],"experiments":[243],"on":[244,262],"two":[245],"CD":[249],"datasets":[250,264],"are":[251],"conducted.":[252],"state-of-the-art":[255],"methods,":[256],"Hybrid-TransCD":[258],"achieved":[259],"superior":[260],"performance":[261],"both":[263],"(i.e.,":[265],"LEVIR-CD,":[266],"SYSU-CD)":[267],"improvements":[269],"0.75%":[271],"1.98%,":[273],"respectively.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2022-04-19T00:00:00"}
