{"id":"https://openalex.org/W4416650042","doi":"https://doi.org/10.1109/tgrs.2025.3636886","title":"Rethinking Semantic-Level Building Change Detection: Ensemble Learning and Dynamic Interaction","display_name":"Rethinking Semantic-Level Building Change Detection: Ensemble Learning and Dynamic Interaction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416650042","doi":"https://doi.org/10.1109/tgrs.2025.3636886"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3636886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3636886","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/A5053079749","display_name":"Yuchao Feng","orcid":"https://orcid.org/0000-0001-6097-3806"},"institutions":[{"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":"Yuchao Feng","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6097-3806","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111177779","display_name":"Mengjie Qin","orcid":"https://orcid.org/0009-0001-1692-7252"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjie Qin","raw_affiliation_strings":["Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-1692-7252","affiliations":[{"raw_affiliation_string":"Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042782010","display_name":"Yuxiang Yang","orcid":"https://orcid.org/0000-0001-8613-7822"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Yang","raw_affiliation_strings":["College of Electronics and Information, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8613-7822","affiliations":[{"raw_affiliation_string":"College of Electronics and Information, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102735926","display_name":"Junhua Gao","orcid":"https://orcid.org/0000-0001-7921-7947"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhua Gao","raw_affiliation_strings":["Westlake Institute for Optoelectronics, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Westlake Institute for Optoelectronics, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015431603","display_name":"Xin Yuan","orcid":"https://orcid.org/0000-0002-8311-7524"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yuan","raw_affiliation_strings":["School of Engineering, Westlake University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-8311-7524","affiliations":[{"raw_affiliation_string":"School of Engineering, Westlake University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.728,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88035556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9154000282287598,"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":0.9154000282287598,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.016100000590085983,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.007300000172108412,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/ensemble-learning","display_name":"Ensemble learning","score":0.6467999815940857},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6043999791145325},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5663999915122986},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.490200012922287},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.39250001311302185},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.3831000030040741},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.359499990940094},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3504999876022339}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684999704360962},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6467999815940857},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6043999791145325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5898000001907349},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5663999915122986},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.490200012922287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47690001130104065},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.39250001311302185},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.3831000030040741},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32269999384880066},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2851000130176544},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.26589998602867126},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3636886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3636886","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/G1134622207","display_name":null,"funder_award_id":"LZ25E010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G1162160483","display_name":null,"funder_award_id":"2023GD007","funder_id":"https://openalex.org/F4320330662","funder_display_name":"Jingmen Science and Technology Bureau"},{"id":"https://openalex.org/G1873249816","display_name":null,"funder_award_id":"2024SDXHDX0006","funder_id":"https://openalex.org/F4320330662","funder_display_name":"Jingmen Science and Technology Bureau"},{"id":"https://openalex.org/G234730273","display_name":null,"funder_award_id":"62271414","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3145157747","display_name":null,"funder_award_id":"2024YFF0505603","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4055687580","display_name":null,"funder_award_id":"2024C03182","funder_id":"https://openalex.org/F4320330662","funder_display_name":"Jingmen Science and Technology Bureau"},{"id":"https://openalex.org/G6193312481","display_name":null,"funder_award_id":"GK259909299001-005","funder_id":"https://openalex.org/F4554350417","funder_display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang"},{"id":"https://openalex.org/G6549026049","display_name":null,"funder_award_id":"LR23F010001","funder_id":"https://openalex.org/F4320330662","funder_display_name":"Jingmen Science and Technology Bureau"},{"id":"https://openalex.org/G6668805756","display_name":null,"funder_award_id":"52571235","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8262308965","display_name":null,"funder_award_id":"LZ25E010001","funder_id":"https://openalex.org/F4320330662","funder_display_name":"Jingmen Science and Technology Bureau"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330662","display_name":"Jingmen Science and Technology Bureau","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4554350417","display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1979061792","https://openalex.org/W1987048533","https://openalex.org/W2023847826","https://openalex.org/W2029161185","https://openalex.org/W2144973685","https://openalex.org/W2165577558","https://openalex.org/W2194775991","https://openalex.org/W2609402060","https://openalex.org/W2759938573","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W2962758679","https://openalex.org/W2962957359","https://openalex.org/W2963163009","https://openalex.org/W2966542792","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3048064159","https://openalex.org/W3120467244","https://openalex.org/W3130754787","https://openalex.org/W3174350961","https://openalex.org/W3180045188","https://openalex.org/W3193414609","https://openalex.org/W3196294958","https://openalex.org/W3198533054","https://openalex.org/W3201926993","https://openalex.org/W3202757651","https://openalex.org/W3209773779","https://openalex.org/W3217004489","https://openalex.org/W4225648150","https://openalex.org/W4226228401","https://openalex.org/W4226305459","https://openalex.org/W4226361741","https://openalex.org/W4292348104","https://openalex.org/W4293193635","https://openalex.org/W4297883960","https://openalex.org/W4312549298","https://openalex.org/W4312893921","https://openalex.org/W4313350235","https://openalex.org/W4318766188","https://openalex.org/W4318767292","https://openalex.org/W4319457815","https://openalex.org/W4323817672","https://openalex.org/W4368232711","https://openalex.org/W4372346242","https://openalex.org/W4378804791","https://openalex.org/W4381232908","https://openalex.org/W4382317739","https://openalex.org/W4384787738","https://openalex.org/W4385863649","https://openalex.org/W4386835978","https://openalex.org/W4387419618","https://openalex.org/W4388187563","https://openalex.org/W4391425630","https://openalex.org/W4391991763","https://openalex.org/W4391992377","https://openalex.org/W4394007483","https://openalex.org/W4394585841","https://openalex.org/W4396650716","https://openalex.org/W4398775613","https://openalex.org/W4399206020","https://openalex.org/W4400228466","https://openalex.org/W4400448280","https://openalex.org/W4400944847","https://openalex.org/W4402259931","https://openalex.org/W4407937912","https://openalex.org/W4409262544","https://openalex.org/W4415795260"],"related_works":[],"abstract_inverted_index":{"Building":[0],"change":[1,17],"detection":[2],"(BCD)":[3],"of":[4,32,192],"multi-temporal":[5],"images":[6],"plays":[7],"a":[8,49,57,69,125],"significant":[9],"role":[10],"in":[11],"urban":[12],"expansion":[13],"and":[14,35,41,64,86,92,101,121,146,178,186,207],"area":[15],"internal":[16],"analysis.":[18],"However,":[19],"current":[20],"BCD":[21,71,103],"methods":[22],"remain":[23],"stagnant":[24],"at":[25],"binary-level":[26],"predictions":[27,123],"due":[28],"to":[29,118],"the":[30,36,76,98,116,160,164,190],"scarcity":[31],"detectable":[33],"changes":[34],"imbalance":[37],"between":[38],"new":[39],"constructions":[40],"demolitions.":[42],"To":[43],"advance":[44],"semantic-level":[45,93,122,133],"BCD,":[46],"we":[47,67,96],"propose":[48],"dynamic":[50,141],"interaction":[51],"ensemble":[52,108,203],"learning":[53,104,204],"network":[54],"(DIELNet)":[55],"using":[56],"collaborative":[58],"training":[59,127],"paradigm":[60,105],"across":[61],"multiple":[62,113],"datasets":[63,114],"tasks.":[65],"Firstly,":[66],"create":[68],"simulated":[70],"dataset,":[72],"Inria-CD,":[73],"derived":[74],"from":[75,201],"building":[77],"segmentation":[78],"dataset.":[79],"It":[80],"features":[81],"complex":[82],"structures,":[83],"large":[84],"scale,":[85],"balanced":[87],"ratios":[88],"with":[89,175],"both":[90],"binary-":[91,120],"labels.":[94,134],"Importantly,":[95],"shift":[97],"traditional":[99],"single-dataset":[100],"single-task":[102],"by":[106,154],"introducing":[107],"learning.":[109],"This":[110],"mechanism":[111],"feeds":[112],"into":[115],"model":[117],"obtain":[119],"through":[124,168],"single":[126],"process,":[128],"accommodating":[129],"partial":[130],"samples":[131],"without":[132],"In":[135],"addition,":[136],"our":[137,202],"DIELNet":[138],"incorporates":[139],"bitemporal":[140],"interactions":[142],"during":[143,159],"data":[144],"processing":[145],"feature":[147],"extraction.":[148],"The":[149],"former":[150],"generates":[151],"progressive":[152],"sequences":[153],"swapping":[155],"mutual":[156],"high-frequency":[157],"components":[158],"Fourier":[161],"transformation,":[162],"while":[163],"latter":[165],"is":[166],"achieved":[167],"Mamba-structure":[169],"modules,":[170],"which":[171],"integrate":[172],"local":[173],"convolution":[174],"dynamic-static":[176],"kernels":[177],"long-range":[179],"dependencies":[180],"via":[181],"state":[182],"space":[183],"models.":[184],"Numerical":[185],"visual":[187],"comparisons":[188],"demonstrate":[189],"superiority":[191],"DIELNet.":[193],"Moreover,":[194],"existing":[195],"algorithms":[196],"can":[197],"also":[198],"benefit":[199],"significantly":[200],"approach.":[205],"Datasets":[206],"codes":[208],"are":[209],"available":[210],"at:":[211],"https://github.com/fengyuchao97/DIELNet.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-25T00:00:00"}
