{"id":"https://openalex.org/W4391941753","doi":"https://doi.org/10.1109/lgrs.2024.3366981","title":"Explicit Change-Relation Learning for Change Detection in VHR Remote Sensing Images","display_name":"Explicit Change-Relation Learning for Change Detection in VHR Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391941753","doi":"https://doi.org/10.1109/lgrs.2024.3366981"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3366981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3366981","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","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/A5042743015","display_name":"Dalong Zheng","orcid":"https://orcid.org/0000-0003-4572-4558"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dalong Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031361250","display_name":"Zebin Wu","orcid":"https://orcid.org/0000-0002-7162-0202"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zebin Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625089","display_name":"Jia Liu","orcid":"https://orcid.org/0000-0002-5999-2361"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649896","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0003-3514-9705"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063590605","display_name":"Chih\u2010Cheng Hung","orcid":"https://orcid.org/0000-0003-0477-5957"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chih-Cheng Hung","raw_affiliation_strings":["Center for Machine Vision and Security Research, Kennesaw State University (KSU), Kennesaw, GA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Machine Vision and Security Research, Kennesaw State University (KSU), Kennesaw, GA, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070343691","display_name":"Zhihui Wei","orcid":"https://orcid.org/0000-0002-4841-6051"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Wei","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042743015"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":2.0296,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8737876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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":0.9987999796867371,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.8279863595962524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6686949729919434},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6397725343704224},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6254928112030029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3043844699859619},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21037471294403076},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15456295013427734}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8279863595962524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686949729919434},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6397725343704224},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6254928112030029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3043844699859619},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21037471294403076},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15456295013427734}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3366981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3366981","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1009658786","display_name":null,"funder_award_id":"61976117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4266622271","display_name":null,"funder_award_id":"30921011209","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4586324220","display_name":null,"funder_award_id":"30919011402","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4772862756","display_name":null,"funder_award_id":"19KJA360001","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5495545777","display_name":null,"funder_award_id":"62071233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5617332474","display_name":null,"funder_award_id":"30919011103","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8149237285","display_name":null,"funder_award_id":"61971223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8620067024","display_name":null,"funder_award_id":"30917015104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8794896244","display_name":null,"funder_award_id":"62276133","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"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2051511560","https://openalex.org/W2134969826","https://openalex.org/W2194775991","https://openalex.org/W2891248708","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3130754787","https://openalex.org/W3133438312","https://openalex.org/W3164715703","https://openalex.org/W3175515048","https://openalex.org/W3180045188","https://openalex.org/W4226305459","https://openalex.org/W4226361741","https://openalex.org/W4312349930","https://openalex.org/W4313350235","https://openalex.org/W6629944422"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2568858292","https://openalex.org/W4234874385","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2390279801","https://openalex.org/W2323648130","https://openalex.org/W4391913857"],"abstract_inverted_index":{"Change":[0],"detection":[1,99],"is":[2,21,92,219],"a":[3,69],"concerned":[4],"task":[5],"in":[6,24],"the":[7,16,25,38,45,63,78,88,94,126,131,159,167,175,180,194,199,206,214],"interpretation":[8],"of":[9,15,40,81,87,121,148,179,193,203,213],"remote":[10,210],"sensing":[11,211],"images.":[12],"The":[13,182],"mining":[14,80,117],"relationship":[17,46],"on":[18,47,57,205],"change":[19,48,58,95,98,122,143,176],"features":[20,59,96,144,172],"usually":[22],"implicit":[23],"deep":[26],"learning":[27],"networks":[28,51,197],"that":[29,93,186],"contain":[30],"single-branch":[31],"or":[32],"two-branch":[33],"encoders.":[34],"However,":[35],"due":[36],"to":[37,62,115,138,164,173],"lack":[39],"artificial":[41],"prior":[42],"design":[43,158],"for":[44,77,97],"features,":[49,106,109,123],"these":[50,118,142],"cannot":[52],"learn":[53],"enough":[54],"semantic":[55],"information":[56,150],"and":[60,110,133,140,151,169],"lead":[61],"poor":[64],"performance.":[65],"So,":[66],"we":[67,124,157],"propose":[68,125],"new":[70],"network":[71,75,129,136,188],"architecture":[72],"explicit":[73,79],"change-relation":[74,82,111,161,171],"(ECRNet)":[76],"features.":[83,112],"In":[84,113,155],"our":[85,90,187],"study":[86],"literature,":[89],"suggestion":[91],"should":[100],"be":[101],"divided":[102],"into":[103],"prechanged":[104],"image":[105,108],"postchanged":[107],"order":[114],"fully":[116],"three":[119],"kinds":[120],"triple":[127],"branch":[128,163],"combining":[130],"transformer":[132],"convolutional":[134],"neural":[135],"(CNN)":[137],"extract":[139],"fuse":[141],"from":[145],"two":[146],"perspectives":[147],"global":[149],"local":[152],"information,":[153],"respectively.":[154],"addition,":[156],"continuous":[160,168],"(CCR)":[162],"further":[165],"obtain":[166],"detailed":[170],"improve":[174],"discrimination":[177],"capability":[178],"model.":[181],"experimental":[183],"results":[184],"show":[185],"performs":[189],"better":[190],"than":[191],"those":[192],"existing":[195],"advanced":[196],"by":[198],"F1":[200],"score":[201],"improvements":[202],"0.66/0.37/0.70/1.09":[204],"very":[207],"high-resolution":[208],"(VHR)":[209],"datasets":[212],"LEVIR-CD/SVCD/WHU-CD/SYSU-CD.":[215],"Our":[216],"source":[217],"code":[218],"available":[220],"at":[221],"<uri":[222],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[223],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/DalongZ/ECRNet</uri>.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
