{"id":"https://openalex.org/W4388470013","doi":"https://doi.org/10.1109/lgrs.2023.3330867","title":"Deeper Multiscale Encoding\u2013Decoding Feature Fusion Network for Change Detection of VHR Images","display_name":"Deeper Multiscale Encoding\u2013Decoding Feature Fusion Network for Change Detection of VHR Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388470013","doi":"https://doi.org/10.1109/lgrs.2023.3330867"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3330867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3330867","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/A5101735237","display_name":"Yang Jing-yu","orcid":"https://orcid.org/0009-0002-7306-6863"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Yang","raw_affiliation_strings":["College of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-7306-6863","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059628610","display_name":"L.H. Ran","orcid":"https://orcid.org/0000-0002-8459-0508"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangcun Ran","raw_affiliation_strings":["College of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8459-0508","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101515499","display_name":"Jianwu Dang","orcid":"https://orcid.org/0000-0003-4504-5758"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwu Dang","raw_affiliation_strings":["College of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102836357","display_name":"Yangping Wang","orcid":"https://orcid.org/0000-0002-6226-0460"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangping Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057129200","display_name":"Zhan Qu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhan Qu","raw_affiliation_strings":["Guohua Satellite Data Technology Company Ltd., Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guohua Satellite Data Technology Company Ltd., Lanzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.2126,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.99096369,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","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":0.9998999834060669,"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":0.9940999746322632,"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":0.946399986743927,"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":0.8171654939651489},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7622295022010803},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7270617485046387},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6897670030593872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.627688467502594},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6248863339424133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5878062844276428},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5408743619918823},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4793282747268677},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44227397441864014},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.41488659381866455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16340816020965576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08558067679405212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8171654939651489},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7622295022010803},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7270617485046387},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6897670030593872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.627688467502594},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6248863339424133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5878062844276428},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5408743619918823},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4793282747268677},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44227397441864014},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41488659381866455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16340816020965576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08558067679405212},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3330867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3330867","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":[],"awards":[{"id":"https://openalex.org/G1498960814","display_name":"\u57fa\u4e8e\u81ea\u7136\u5f3a\u4ea4\u4e92\u7684\u7ebf\u4e0a\u865a\u62df\u4eff\u771f\u5b9e\u9a8c\u5173\u952e\u6280\u672f\u7814\u7a76\u53ca\u8fc7\u7a0b\u6027\u8bc4\u4ef7","funder_award_id":"62067006","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2805152403","https://openalex.org/W2891248708","https://openalex.org/W2951991161","https://openalex.org/W3009942016","https://openalex.org/W3011156941","https://openalex.org/W3123813572","https://openalex.org/W3130754787","https://openalex.org/W3189451737","https://openalex.org/W3195032332","https://openalex.org/W3196803037","https://openalex.org/W4213124617","https://openalex.org/W4229002315","https://openalex.org/W4285173877","https://openalex.org/W4289744446","https://openalex.org/W4289752563","https://openalex.org/W6753737009"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799"],"abstract_inverted_index":{"In":[0,130],"remote":[1,8],"sensing":[2,9],"change":[3,166,172,202],"detection":[4,152,167,173],"(RSCD)":[5],"tasks,":[6],"high-resolution":[7],"images":[10],"can":[11],"provide":[12],"fine":[13],"image":[14],"details":[15],"and":[16,94,191,200],"complex":[17,198],"texture":[18],"features.":[19,111,129],"Deep":[20],"learning":[21],"based":[22],"RSCD":[23],"methods":[24,34,168],"have":[25],"achieved":[26],"state-of-the-art":[27],"(SOTA)":[28],"performance.":[29],"However,":[30],"most":[31,146],"of":[32,47,49,86,119,154,189],"these":[33],"only":[35],"consider":[36],"vertical":[37,95],"multiscale":[38,66,110],"features":[39,51,98],"when":[40],"extracting":[41],"features,":[42,148],"while":[43],"ignoring":[44],"the":[45,61,87,91,104,117,125,145,151,155,170,181,185],"problem":[46,118],"loss":[48,122],"contextual":[50,120],"due":[52],"to":[53,59,106,141],"scale":[54,89,97,128],"changes.":[55],"Hence,":[56],"in":[57,74,82,90,99,195],"order":[58],"overcome":[60],"above":[62],"issues,":[63],"a":[64,132],"deeper":[65,109],"encoding-decoding":[67],"feature":[68],"fusion":[69],"network":[70],"(DMEDNet)":[71],"is":[72,80,139,160],"proposed":[73,158,182],"this":[75],"letter.":[76],"The":[77,112,157,176],"encoding":[78],"stage":[79],"considered":[81],"both":[83],"horizontal":[84],"(Features":[85],"same":[88,92,127],"layer)":[93],"(Different":[96],"different":[100],"layers)":[101],"dimensions,":[102],"allowing":[103],"model":[105],"fully":[107],"extract":[108],"decoding":[113],"phase":[114],"further":[115],"overcomes":[116],"information":[121],"by":[123],"reusing":[124],"obtained":[126],"addition,":[131],"parallel":[133],"convolutional":[134],"block":[135],"attention":[136],"module":[137],"(PCBAM)":[138],"applied":[140],"better":[142],"focus":[143],"on":[144,169],"representative":[147],"thereby":[149],"improving":[150],"effect":[153],"model.":[156],"method":[159,183],"compared":[161],"with":[162,197],"several":[163],"other":[164],"SOTA":[165],"season-varying":[171],"dataset":[174],"(CDD).":[175],"experimental":[177],"results":[178],"show":[179],"that":[180],"obtains":[184],"highest":[186],"F1":[187],"score":[188],"97.4%":[190],"exhibits":[192],"stronger":[193],"robustness":[194],"dealing":[196],"scenes":[199],"small":[201],"targets.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":55},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}