{"id":"https://openalex.org/W4415883281","doi":"https://doi.org/10.1109/tgrs.2025.3628639","title":"Difference Enhancement and Interscale Interactive Fusion Mamba for Remote Sensing Image Change Detection","display_name":"Difference Enhancement and Interscale Interactive Fusion Mamba for Remote Sensing Image Change Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415883281","doi":"https://doi.org/10.1109/tgrs.2025.3628639"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3628639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3628639","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/A5050009113","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3399-7858"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-3399-7858","affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102711534","display_name":"Yuliang Ji","orcid":"https://orcid.org/0009-0001-0846-5879"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Ji","raw_affiliation_strings":["Faculty of Mathematics and Statistics, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0009-0001-0846-5879","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061527815","display_name":"Yumiao Wang","orcid":"https://orcid.org/0000-0002-0980-5353"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumiao Wang","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-0980-5353","affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007544409","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-9218-5916"},"institutions":[{"id":"https://openalex.org/I4210157236","display_name":"National Institute for Radiological Protection","ror":"https://ror.org/05whjqq05","country_code":"CN","type":"government","lineage":["https://openalex.org/I184490438","https://openalex.org/I4210127390","https://openalex.org/I4210151987","https://openalex.org/I4210157236"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["State Key Laboratory of Chemistry for NBC Hazards Protection, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Chemistry for NBC Hazards Protection, Beijing, China","institution_ids":["https://openalex.org/I4210157236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036030486","display_name":"Jiangtao Peng","orcid":"https://orcid.org/0000-0002-4759-0584"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Peng","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","Faculty of Mathematics and Statistics, Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4759-0584","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101827905","display_name":"Xiaorun Li","orcid":"https://orcid.org/0000-0001-7611-845X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorun Li","raw_affiliation_strings":["School of Advanced Research and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7611-845X","affiliations":[{"raw_affiliation_string":"School of Advanced Research and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160","https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5239,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86325304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9850000143051147,"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":0.9850000143051147,"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":0.004399999976158142,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.0038999998942017555,"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/leverage","display_name":"Leverage (statistics)","score":0.660099983215332},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.521399974822998},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5072000026702881},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5031999945640564},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4754999876022339},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.397599995136261},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.3799000084400177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660999894142151},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.660099983215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5774000287055969},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5375999808311462},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.521399974822998},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5072000026702881},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4383000135421753},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.397599995136261},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37959998846054077},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.3292999863624573},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.30630001425743103},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2906999886035919},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2703000009059906}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3628639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3628639","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":[],"awards":[{"id":"https://openalex.org/G1567108119","display_name":null,"funder_award_id":"42361144862","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6092869191","display_name":null,"funder_award_id":"2024YFF1400900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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":44,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2741377155","https://openalex.org/W2751993439","https://openalex.org/W2752782242","https://openalex.org/W2779571083","https://openalex.org/W2805152403","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W2951991161","https://openalex.org/W2964477674","https://openalex.org/W2969081030","https://openalex.org/W3009942016","https://openalex.org/W3011156941","https://openalex.org/W3015038817","https://openalex.org/W3027225766","https://openalex.org/W3033043020","https://openalex.org/W3034552520","https://openalex.org/W3035022492","https://openalex.org/W3036453075","https://openalex.org/W3096431188","https://openalex.org/W3130754787","https://openalex.org/W3151130473","https://openalex.org/W3176330035","https://openalex.org/W3180045188","https://openalex.org/W3204614423","https://openalex.org/W3211646616","https://openalex.org/W4214893857","https://openalex.org/W4226228401","https://openalex.org/W4226361741","https://openalex.org/W4285124290","https://openalex.org/W4285298122","https://openalex.org/W4287020683","https://openalex.org/W4292258945","https://openalex.org/W4292387496","https://openalex.org/W4318767292","https://openalex.org/W4321504721","https://openalex.org/W4368232711","https://openalex.org/W4385245566","https://openalex.org/W4391468033","https://openalex.org/W4393207076","https://openalex.org/W4394007483","https://openalex.org/W4401963252","https://openalex.org/W4402992419","https://openalex.org/W4405908078"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"Mamba":[1,58,103,127],"has":[2],"made":[3],"significant":[4],"strides":[5],"in":[6,20,152],"sequence":[7],"modeling,":[8],"with":[9,215],"its":[10],"global":[11,134],"receptive":[12],"field,":[13],"dynamic":[14],"weighting":[15],"strategy":[16,181],"and":[17,65,83,99,117,145,168,189,210],"linear":[18],"growth":[19],"computational":[21],"complexity.":[22],"In":[23,69,172],"remote":[24],"sensing":[25],"(RS)":[26],"change":[27],"detection":[28,148],"(CD),":[29],"several":[30],"studies":[31],"have":[32],"demonstrated":[33],"that":[34,200],"Mambas":[35],"leverage":[36],"a":[37,96,129,155],"unique":[38],"scanning":[39],"mechanism":[40,131],"to":[41,61,107,121,132,163,182],"traverse":[42],"images":[43,73],"from":[44],"various":[45],"directions,":[46],"showcasing":[47],"excellent":[48],"long-range":[49],"modeling":[50],"capabilities.":[51],"However,":[52],"as":[53],"the":[54,109,138,146,185,201],"network":[55,113],"depth":[56],"increases,":[57],"often":[59],"struggle":[60],"retain":[62],"shallow":[63],"textures":[64],"local":[66,88,123,165],"features":[67,144],"effectively.":[68],"particular,":[70],"modern":[71],"RS":[72],"frequently":[74],"capture":[75,122],"complex":[76,153],"surface":[77],"scenes,":[78,154],"including":[79],"seasonal":[80],"climate":[81],"variations":[82],"densely":[84],"built":[85],"environments,":[86],"making":[87],"contextual":[89,166],"details":[90,167],"crucial":[91],"for":[92],"effective":[93],"CD.":[94],"Therefore,":[95],"difference":[97],"enhancement":[98,158],"inter-scale":[100,177],"interactive":[101,178,187],"fusion":[102,179],"(DEIF-Mamba)":[104],"is":[105,161],"proposed":[106,162,202],"alleviate":[108],"issue.":[110],"This":[111],"entire":[112],"framework":[114],"integrates":[115],"CNN":[116,120],"Mamba,":[118],"utilizing":[119],"feature":[124,157,170],"information,":[125],"while":[126],"employs":[128],"cross-scanning":[130],"integrate":[133],"information.":[135],"To":[136],"address":[137],"interference":[139],"caused":[140],"by":[141],"mixed":[142],"texture":[143],"missed":[147],"of":[149,208],"subtle":[150],"changes":[151],"differential":[156],"module":[159],"(DFEM)":[160],"enrich":[164],"improve":[169],"representation.":[171],"addition,":[173],"we":[174],"propose":[175],"an":[176,205],"(ISIF)":[180],"fully":[183],"utilize":[184],"cross-scale":[186],"information":[188,191],"minimize":[190],"redundancy.":[192],"Extensive":[193],"experiments":[194],"on":[195],"four":[196],"CD":[197],"datasets":[198],"demonstrate":[199],"DEIF-Mamba":[203],"achieves":[204],"average":[206],"F1":[207],"85.87%,":[209],"shows":[211],"superior":[212],"performance":[213],"compared":[214],"other":[216],"state-of-the-art":[217],"(SOTA)":[218],"methods.":[219],"Code":[220],"will":[221],"be":[222],"available":[223],"online":[224],"(https://github.com/Jyl199904/DEIF-Mamba).":[225]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-04T00:00:00"}