{"id":"https://openalex.org/W4308325132","doi":"https://doi.org/10.3390/rs14215577","title":"A Region-Based Feature Fusion Network for VHR Image Change Detection","display_name":"A Region-Based Feature Fusion Network for VHR Image Change Detection","publication_year":2022,"publication_date":"2022-11-04","ids":{"openalex":"https://openalex.org/W4308325132","doi":"https://doi.org/10.3390/rs14215577"},"language":"en","primary_location":{"id":"doi:10.3390/rs14215577","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215577","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5577/pdf?version=1667891717","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/2072-4292/14/21/5577/pdf?version=1667891717","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100649444","display_name":"Pan Chen","orcid":"https://orcid.org/0000-0002-5567-5801"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Chen","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654194","display_name":"Cong Li","orcid":"https://orcid.org/0009-0009-0001-2048"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Li","raw_affiliation_strings":["Airborne Remote Sensing Center, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Airborne Remote Sensing Center, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389658","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0001-7311-9844"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006192682","display_name":"Zhengchao Chen","orcid":"https://orcid.org/0000-0003-4293-6459"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengchao Chen","raw_affiliation_strings":["Airborne Remote Sensing Center, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Airborne Remote Sensing Center, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013120574","display_name":"Xuan Yang","orcid":"https://orcid.org/0000-0002-2938-7419"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Yang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114858883","display_name":"Kaixuan Lu","orcid":"https://orcid.org/0000-0002-2354-6132"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixuan Lu","raw_affiliation_strings":["Airborne Remote Sensing Center, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Airborne Remote Sensing Center, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022920106","display_name":"Lina Zhuang","orcid":"https://orcid.org/0000-0002-9622-6535"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Zhuang","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100389658"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.6501,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85442062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"14","issue":"21","first_page":"5577","last_page":"5577"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9940999746322632,"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":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.770230770111084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7287969589233398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5872359275817871},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5794956684112549},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.565960168838501},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5608749389648438},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5030063986778259},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4927537739276886},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.4145798683166504},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41363975405693054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4112507998943329},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3719443082809448},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08850905299186707}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.770230770111084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7287969589233398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5872359275817871},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5794956684112549},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.565960168838501},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5608749389648438},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5030063986778259},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4927537739276886},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.4145798683166504},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41363975405693054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4112507998943329},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3719443082809448},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08850905299186707},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14215577","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215577","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5577/pdf?version=1667891717","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:16a6137095e34137841d86e0177f7ec9","is_oa":true,"landing_page_url":"https://doaj.org/article/16a6137095e34137841d86e0177f7ec9","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 14, Iss 21, p 5577 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/21/5577/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14215577","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; Volume 14; Issue 21; Pages: 5577","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14215577","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215577","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5577/pdf?version=1667891717","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":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G16588781","display_name":null,"funder_award_id":"2021YFB3901202","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2901977078","display_name":null,"funder_award_id":"42071407","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4308325132.pdf","grobid_xml":"https://content.openalex.org/works/W4308325132.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1955055330","https://openalex.org/W1981795482","https://openalex.org/W2008585232","https://openalex.org/W2019899368","https://openalex.org/W2036798369","https://openalex.org/W2038855804","https://openalex.org/W2041149928","https://openalex.org/W2068115394","https://openalex.org/W2100290662","https://openalex.org/W2152334070","https://openalex.org/W2156924720","https://openalex.org/W2157026765","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2412588858","https://openalex.org/W2560023338","https://openalex.org/W2611719608","https://openalex.org/W2613718673","https://openalex.org/W2628688992","https://openalex.org/W2738855634","https://openalex.org/W2764207251","https://openalex.org/W2804732189","https://openalex.org/W2884436604","https://openalex.org/W2888697548","https://openalex.org/W2891248708","https://openalex.org/W2894629025","https://openalex.org/W2894660140","https://openalex.org/W2900150836","https://openalex.org/W2901172439","https://openalex.org/W2908320224","https://openalex.org/W2908624219","https://openalex.org/W2913323966","https://openalex.org/W2922027847","https://openalex.org/W2936895369","https://openalex.org/W2946948417","https://openalex.org/W2951991161","https://openalex.org/W2952323569","https://openalex.org/W2963037989","https://openalex.org/W2963091558","https://openalex.org/W2979572910","https://openalex.org/W2990228562","https://openalex.org/W2991751858","https://openalex.org/W3004423752","https://openalex.org/W3009942016","https://openalex.org/W3010257550","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3047246571","https://openalex.org/W3090350559","https://openalex.org/W3096609285","https://openalex.org/W3099503507","https://openalex.org/W3130754787","https://openalex.org/W3142421496","https://openalex.org/W3152747703","https://openalex.org/W3163207600","https://openalex.org/W3176330035","https://openalex.org/W3204841830","https://openalex.org/W3206772442","https://openalex.org/W3209695792","https://openalex.org/W3216244838","https://openalex.org/W4210787790","https://openalex.org/W4213124617","https://openalex.org/W4287148292","https://openalex.org/W6652556475","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6756040250","https://openalex.org/W6790731625","https://openalex.org/W6797500923","https://openalex.org/W6803420298","https://openalex.org/W6804437294"],"related_works":["https://openalex.org/W4385415357","https://openalex.org/W2767651786","https://openalex.org/W2912288872","https://openalex.org/W564581980","https://openalex.org/W3106036237","https://openalex.org/W2886673456","https://openalex.org/W2295021132","https://openalex.org/W2546942002","https://openalex.org/W2970216048","https://openalex.org/W785854688"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)-based":[2],"architectures":[3],"have":[4],"shown":[5],"a":[6,41,62,69,82,158],"strong":[7,201],"capacity":[8,199],"to":[9,26,92,103],"identify":[10,150],"changes.":[11],"However,":[12],"existing":[13],"change":[14,94],"detection":[15],"(CD)":[16],"networks":[17],"still":[18],"suffer":[19],"from":[20],"limited":[21],"applicability":[22],"when":[23],"it":[24],"comes":[25],"multi-scale":[27,108],"targets":[28,147],"and":[29,81,110,148,169,186,192,200,210],"spatially":[30,144,219],"misaligned":[31],"objects.":[32,118],"For":[33],"the":[34,38,78,105,112,130,141,171,183,187,197,211],"sake":[35],"of":[36,49,84,107,132,143,203],"tackling":[37],"above":[39],"problems,":[40],"region-based":[42,85],"feature":[43,71,86],"fusion":[44,87],"network":[45,66,113],"(RFNet)":[46],"for":[47],"CD":[48,181],"very":[50],"high":[51,198],"spatial":[52],"resolution":[53],"(VHR)":[54],"remote":[55],"sensing":[56],"images":[57],"is":[58,75,90,121],"proposed.":[59],"RFNet":[60,177,215],"uses":[61],"fully":[63],"convolutional":[64],"Siamese":[65],"backbone":[67],"where":[68],"multi-stage":[70],"interaction":[72,106],"module":[73],"(MFIM)":[74],"embedded":[76],"in":[77,100,152],"dual":[79],"encoder":[80],"series":[83],"modules":[88],"(RFFMs)":[89],"used":[91],"generate":[93],"information.":[95],"The":[96,119,137,190],"MFIM":[97],"fuses":[98],"features":[99,134],"different":[101],"stages":[102],"enhance":[104],"information":[109],"help":[111],"better":[114],"distinguish":[115],"complex":[116],"ground":[117],"RFFM":[120,138],"built":[122],"based":[123],"on":[124],"region":[125],"similarity":[126,131],"(RSIM),":[127],"which":[128],"measures":[129],"bitemporal":[133,146,153,221],"with":[135,178,218],"neighborhoods.":[136],"can":[139,216],"reduce":[140],"impact":[142],"offset":[145],"accurately":[149],"changes":[151],"images.":[154,222],"We":[155,175,205],"also":[156,206],"design":[157],"deep":[159],"supervise":[160],"strategy":[161],"by":[162],"directly":[163],"introducing":[164],"RSIM":[165],"into":[166],"loss":[167],"calculation":[168],"shortening":[170],"error":[172],"propagation":[173],"distance.":[174],"validate":[176],"two":[179],"popular":[180],"datasets:":[182],"SECOND":[184],"dataset":[185],"WHU":[188],"dataset.":[189],"qualitative":[191],"quantitative":[193],"comparison":[194],"results":[195,212],"demonstrate":[196,213],"robustness":[202,208],"RFNet.":[204],"conduct":[207],"experiments":[209],"that":[214],"deal":[217],"shifted":[220]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}