{"id":"https://openalex.org/W4389934639","doi":"https://doi.org/10.1109/tgrs.2023.3344751","title":"A Unified Deep Learning Network for Remote Sensing Image Registration and Change Detection","display_name":"A Unified Deep Learning Network for Remote Sensing Image Registration and Change Detection","publication_year":2023,"publication_date":"2023-12-19","ids":{"openalex":"https://openalex.org/W4389934639","doi":"https://doi.org/10.1109/tgrs.2023.3344751"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3344751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3344751","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5111060894","display_name":"Rufan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rufan Zhou","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085893076","display_name":"Dou Quan","orcid":"https://orcid.org/0000-0001-6943-4657"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dou Quan","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6943-4657","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065660222","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0003-4940-1211"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-4940-1211","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042003236","display_name":"Chonghua Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chonghua Lv","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101281327","display_name":"Xianwei Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianwei Cao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["University Grenoble Alpes, CNRS, Grenoble INP, GIPSA-Laboratory, Grenoble, France"],"raw_orcid":"https://orcid.org/0000-0003-4817-2875","affiliations":[{"raw_affiliation_string":"University Grenoble Alpes, CNRS, Grenoble INP, GIPSA-Laboratory, Grenoble, France","institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I1294671590","https://openalex.org/I899635006","https://openalex.org/I106785703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692595","display_name":"Yi Li","orcid":"https://orcid.org/0000-0003-4226-6635"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["School of Telecommunications, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-4226-6635","affiliations":[{"raw_affiliation_string":"School of Telecommunications, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5111060894"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":4.0514,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9693999886512756,"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/change-detection","display_name":"Change detection","score":0.8546218276023865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8380805253982544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7982453107833862},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7448261976242065},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6693844795227051},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5267897248268127},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49800968170166016},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4960266053676605},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47617071866989136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.464365690946579},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38822227716445923}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8546218276023865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8380805253982544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7982453107833862},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7448261976242065},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6693844795227051},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5267897248268127},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49800968170166016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4960266053676605},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47617071866989136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.464365690946579},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38822227716445923},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3344751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3344751","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1836536549","display_name":null,"funder_award_id":"62271377","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G439018681","display_name":null,"funder_award_id":"62171347","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6792141703","display_name":null,"funder_award_id":"2021ZD0110400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6983301035","display_name":null,"funder_award_id":"62201407","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1533971260","https://openalex.org/W1869500417","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1929856797","https://openalex.org/W1955055330","https://openalex.org/W1990446846","https://openalex.org/W2025970222","https://openalex.org/W2030233108","https://openalex.org/W2031600437","https://openalex.org/W2047243114","https://openalex.org/W2074597716","https://openalex.org/W2081852578","https://openalex.org/W2108669046","https://openalex.org/W2111308925","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2144552105","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2156875677","https://openalex.org/W2160544350","https://openalex.org/W2169966850","https://openalex.org/W2192859287","https://openalex.org/W2468674378","https://openalex.org/W2560647685","https://openalex.org/W2618039218","https://openalex.org/W2737260104","https://openalex.org/W2752782242","https://openalex.org/W2805152403","https://openalex.org/W2884585870","https://openalex.org/W2891248708","https://openalex.org/W2973247625","https://openalex.org/W2973660294","https://openalex.org/W2973665503","https://openalex.org/W2984954051","https://openalex.org/W2991364408","https://openalex.org/W3027225766","https://openalex.org/W3033237758","https://openalex.org/W3036453075","https://openalex.org/W3047057232","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3102692100","https://openalex.org/W3103695279","https://openalex.org/W3160330105","https://openalex.org/W3174504143","https://openalex.org/W3176330035","https://openalex.org/W3180045188","https://openalex.org/W4285258034","https://openalex.org/W4289792732","https://openalex.org/W4319865968","https://openalex.org/W4364323060","https://openalex.org/W4377007732","https://openalex.org/W4377079779","https://openalex.org/W4378194596","https://openalex.org/W4379984088","https://openalex.org/W4384159545","https://openalex.org/W6631863904","https://openalex.org/W6682132143","https://openalex.org/W6738345448","https://openalex.org/W6739901393","https://openalex.org/W6770838726"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2080106448"],"abstract_inverted_index":{"Image":[0],"registration":[1,33,48,74,138,154],"and":[2,34,49,61,75,97,107,139,155,162,167,187],"change":[3,20,35,50,76,108,140,156,201],"detection":[4,36,77,99,110,141,202],"are":[5],"crucial":[6],"for":[7,46,124,152],"multitemporal":[8],"remote":[9,135],"sensing":[10,136],"image":[11,32,47,73,95,105,137,153],"analysis.":[12],"The":[13,172],"images":[14],"should":[15],"be":[16],"registered":[17],"before":[18],"the":[19,130,146,149,180],"information":[21,109],"detection.":[22],"Existing":[23],"deep":[24,44,55,120,170,198],"learning":[25,80,122],"methods":[26,123],"have":[27,78],"shown":[28],"significant":[29,194],"advantages":[30,195],"in":[31,200],"tasks.":[37],"They":[38],"usually":[39],"design":[40],"two":[41],"independent":[42,54],"task-specific":[43,65,166],"networks":[45,56,199],"detection,":[51,157],"respectively.":[52],"These":[53],"will":[57],"learn":[58],"from":[59],"scratch":[60],"rely":[62],"on":[63,84,179],"many":[64],"labeled":[66,205],"training":[67],"datasets.":[68,206],"This":[69],"article":[70,117],"finds":[71],"that":[72,102,129],"similar":[79],"mechanisms,":[81],"which":[82,127,158],"focus":[83],"extracting":[85],"discriminative":[86],"features.":[87],"Inspired":[88],"by":[89],"this,":[90],"we":[91],"propose":[92],"a":[93,112],"Unified":[94],"Registration":[96],"Change":[98],"Network":[100],"(URCNet)":[101],"can":[103,132,159,175],"perform":[104],"alignment":[106],"through":[111],"single":[113],"network.":[114],"Additionally,":[115],"this":[116],"proposes":[118],"various":[119],"collaborative":[121],"URCNet":[125,131,151,174,192],"optimization,":[126],"enforce":[128],"effectively":[133],"support":[134,176],"simultaneously.":[142],"Extensive":[143],"experiments":[144],"demonstrate":[145],"effectiveness":[147],"of":[148],"proposed":[150,173],"achieve":[160],"comparable":[161],"better":[163],"results":[164],"with":[165],"more":[168],"complex":[169],"networks.":[171],"multitasks":[177],"based":[178],"same":[181],"scene":[182,185],"images,":[183,186],"different":[184],"even":[188],"multimodal":[189],"images.":[190],"Moreover,":[191],"shows":[193],"over":[196],"other":[197],"under":[203],"limited":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
