{"id":"https://openalex.org/W4388899747","doi":"https://doi.org/10.3390/rs15235459","title":"Change Detection Needs Neighborhood Interaction in Transformer","display_name":"Change Detection Needs Neighborhood Interaction in Transformer","publication_year":2023,"publication_date":"2023-11-22","ids":{"openalex":"https://openalex.org/W4388899747","doi":"https://doi.org/10.3390/rs15235459"},"language":"en","primary_location":{"id":"doi:10.3390/rs15235459","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15235459","pdf_url":"https://www.mdpi.com/2072-4292/15/23/5459/pdf?version=1700662305","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/23/5459/pdf?version=1700662305","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003777179","display_name":"Hangling Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangling Ma","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042491724","display_name":"Lingran Zhao","orcid":"https://orcid.org/0009-0007-7686-3071"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingran Zhao","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, China University of Geosciences, Wuhan 430074, China","School of Automation, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030646972","display_name":"Bingquan Li","orcid":"https://orcid.org/0000-0002-7211-1899"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingquan Li","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, China University of Geosciences, Wuhan 430074, China","School of Automation, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063163226","display_name":"Ruiqing Niu","orcid":"https://orcid.org/0000-0002-0862-7890"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruiqing Niu","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, China University of Geosciences, Wuhan 430074, China","School of Automation, China University of Geosciences, Wuhan 430074, China","School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100742004","display_name":"Yueyue Wang","orcid":"https://orcid.org/0000-0002-4232-3196"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueyue Wang","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063163226"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9627,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79299873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"15","issue":"23","first_page":"5459","last_page":"5459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9937999844551086,"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":0.9873999953269958,"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":0.7976473569869995},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7551959753036499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5582898259162903},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4636927843093872},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.446433424949646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4091726243495941},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3711201548576355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7976473569869995},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7551959753036499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5582898259162903},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4636927843093872},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.446433424949646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4091726243495941},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3711201548576355},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15235459","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15235459","pdf_url":"https://www.mdpi.com/2072-4292/15/23/5459/pdf?version=1700662305","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5042dd4479f74a3aaedcfcf963d4d64d","is_oa":true,"landing_page_url":"https://doaj.org/article/5042dd4479f74a3aaedcfcf963d4d64d","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":"Remote Sensing, Vol 15, Iss 23, p 5459 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/23/5459/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15235459","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":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15235459","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15235459","pdf_url":"https://www.mdpi.com/2072-4292/15/23/5459/pdf?version=1700662305","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388899747.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W2036798369","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2805152403","https://openalex.org/W2884585870","https://openalex.org/W2891248708","https://openalex.org/W2902930830","https://openalex.org/W2908320224","https://openalex.org/W2911166976","https://openalex.org/W2962914239","https://openalex.org/W3011156941","https://openalex.org/W3027225766","https://openalex.org/W3033207318","https://openalex.org/W3036453075","https://openalex.org/W3104899156","https://openalex.org/W3120467244","https://openalex.org/W3130754787","https://openalex.org/W3131500599","https://openalex.org/W3131922516","https://openalex.org/W3138516171","https://openalex.org/W3144332889","https://openalex.org/W3164715703","https://openalex.org/W3170841864","https://openalex.org/W3175227919","https://openalex.org/W3176198174","https://openalex.org/W3176330035","https://openalex.org/W3181167066","https://openalex.org/W3184566187","https://openalex.org/W3194968429","https://openalex.org/W3205965083","https://openalex.org/W3211329537","https://openalex.org/W3211490618","https://openalex.org/W3217456364","https://openalex.org/W4210880854","https://openalex.org/W4221166385","https://openalex.org/W4226068212","https://openalex.org/W4226361741","https://openalex.org/W4287704453","https://openalex.org/W4306955484","https://openalex.org/W4312350143","https://openalex.org/W4312549298","https://openalex.org/W4319083668","https://openalex.org/W4362519158","https://openalex.org/W4386075553","https://openalex.org/W6618372016","https://openalex.org/W6781533629","https://openalex.org/W6790731625","https://openalex.org/W6797235774","https://openalex.org/W6797399245","https://openalex.org/W6797500923","https://openalex.org/W6802298689","https://openalex.org/W6810987806"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2106540031","https://openalex.org/W1982025852","https://openalex.org/W2047970610","https://openalex.org/W4200094402"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"image":[2,50],"change":[3,51,80],"detection":[4,52],"(CD)":[5],"is":[6,26],"an":[7],"essential":[8],"technique":[9],"for":[10,200],"analyzing":[11],"surface":[12],"changes":[13],"from":[14],"co-registered":[15],"images":[16],"of":[17,72,97,103,150,168,203],"different":[18],"time":[19,110],"periods.":[20],"The":[21],"main":[22],"challenge":[23],"in":[24,46,82,187,207],"CD":[25,87,208],"to":[27,35,90,100,112,153,173],"identify":[28],"the":[29,32,68,79,101,108,114,147,166,174,204],"alterations":[30],"that":[31,75],"user":[33],"intends":[34],"emphasize,":[36],"while":[37,85,189],"excluding":[38],"pseudo-changes":[39],"caused":[40],"by":[41,67,93,119,193],"external":[42],"factors.":[43],"Recent":[44],"advancements":[45],"deep":[47],"learning":[48],"and":[49,59,106],"have":[53],"shown":[54],"remarkable":[55],"performance":[56],"with":[57],"ConvNet-based":[58,63],"Transformer-based":[60,86,128,178],"techniques.":[61],"However,":[62],"methods":[64],"are":[65],"limited":[66],"local":[69],"receptive":[70],"fields":[71],"convolutional":[73],"kernels":[74],"cannot":[76],"effectively":[77],"capture":[78],"features":[81],"spatial\u2013temporal":[83],"information,":[84],"models":[88],"need":[89,111],"be":[91],"driven":[92],"a":[94,127,136,183,197],"large":[95],"amount":[96],"data":[98],"due":[99],"lack":[102],"inductive":[104],"biases,":[105],"at":[107],"same":[109],"bear":[113],"costly":[115],"computational":[116,191],"complexity":[117],"brought":[118],"self-attention.":[120],"To":[121],"address":[122],"these":[123],"challenges,":[124],"we":[125],"propose":[126],"Siamese":[129],"network":[130],"structure":[131,206],"called":[132,140],"BTNIFormer.":[133],"It":[134],"incorporates":[135],"sparse":[137],"attention":[138,148],"mechanism":[139],"Dilated":[141],"Neighborhood":[142],"Attention":[143],"(DiNA),":[144],"which":[145],"localizes":[146],"range":[149],"each":[151],"pixel":[152],"its":[154],"neighboring":[155],"context.":[156],"Extensive":[157],"experiments":[158],"conducted":[159],"on":[160],"two":[161],"publicly":[162],"available":[163],"datasets":[164],"demonstrate":[165],"benefits":[167],"our":[169,180],"proposed":[170],"innovation.":[171],"Compared":[172],"most":[175],"competitive":[176],"recent":[177],"approaches,":[179],"method":[181],"achieves":[182],"significant":[184],"12.00%":[185],"improvement":[186],"IoU":[188],"reducing":[190],"costs":[192],"half.":[194],"This":[195],"provides":[196],"promising":[198],"solution":[199],"further":[201],"development":[202],"Transformer":[205],"tasks.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
