{"id":"https://openalex.org/W4411799273","doi":"https://doi.org/10.1109/tgrs.2025.3584126","title":"Scale- and Shape-Aware Network With Prediction Decoupling for Building Fine-Grained Change Detection","display_name":"Scale- and Shape-Aware Network With Prediction Decoupling for Building Fine-Grained Change Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411799273","doi":"https://doi.org/10.1109/tgrs.2025.3584126"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3584126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3584126","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/A5100377435","display_name":"Jiaxin Wang","orcid":"https://orcid.org/0000-0002-6868-6809"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Wang","raw_affiliation_strings":["School of Mathematics, Northwest University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Northwest University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004032587","display_name":"Chengcai Leng","orcid":"https://orcid.org/0000-0003-4535-5430"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcai Leng","raw_affiliation_strings":["School of Mathematics, Northwest University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-4535-5430","affiliations":[{"raw_affiliation_string":"School of Mathematics, Northwest University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778614","display_name":"Mingwei Zhang","orcid":"https://orcid.org/0000-0003-3464-8991"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwei Zhang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407758","display_name":"Xi Li","orcid":"https://orcid.org/0000-0003-3023-1662"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3023-1662","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058927498","display_name":"Irene Cheng","orcid":"https://orcid.org/0000-0001-9699-4895"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Irene Cheng","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9699-4895","affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054810403","display_name":"Anup Basu","orcid":"https://orcid.org/0000-0002-7695-4148"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Anup Basu","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7695-4148","affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"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, Ministry of Education, 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, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.762,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74553475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.8952000141143799,"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":0.8952000141143799,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.8734999895095825,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8198999762535095,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5965549945831299},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5587711930274963},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5020873546600342},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37173157930374146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35399436950683594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3491230607032776},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20443975925445557},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1395631730556488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5965549945831299},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5587711930274963},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5020873546600342},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37173157930374146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35399436950683594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3491230607032776},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20443975925445557},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1395631730556488},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3584126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3584126","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":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G1681440638","display_name":null,"funder_award_id":"61702251","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":45,"referenced_works":["https://openalex.org/W2015619014","https://openalex.org/W2526628897","https://openalex.org/W2901553491","https://openalex.org/W2908320224","https://openalex.org/W3011163565","https://openalex.org/W3027201985","https://openalex.org/W3027225766","https://openalex.org/W3033554993","https://openalex.org/W3036453075","https://openalex.org/W3084438775","https://openalex.org/W3120467244","https://openalex.org/W3139912591","https://openalex.org/W3157519352","https://openalex.org/W3180045188","https://openalex.org/W3191290788","https://openalex.org/W3193414609","https://openalex.org/W3195032332","https://openalex.org/W3216244838","https://openalex.org/W4213124617","https://openalex.org/W4220683154","https://openalex.org/W4226361741","https://openalex.org/W4283776488","https://openalex.org/W4293193635","https://openalex.org/W4297200610","https://openalex.org/W4312549298","https://openalex.org/W4318767292","https://openalex.org/W4320001315","https://openalex.org/W4377079808","https://openalex.org/W4377224530","https://openalex.org/W4389169332","https://openalex.org/W4389891271","https://openalex.org/W4390578054","https://openalex.org/W4390691257","https://openalex.org/W4390873076","https://openalex.org/W4391892563","https://openalex.org/W4391953404","https://openalex.org/W4396782964","https://openalex.org/W4401992000","https://openalex.org/W4402992828","https://openalex.org/W4403827183","https://openalex.org/W4404132909","https://openalex.org/W4404313012","https://openalex.org/W4404371510","https://openalex.org/W4404914866","https://openalex.org/W4406171817"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2015705630","https://openalex.org/W2139939267","https://openalex.org/W1974511032"],"abstract_inverted_index":{"Building":[0],"change":[1,33,42,62,153],"detection":[2,43,154],"(BCD)":[3],"is":[4,46,76,86,105,188],"a":[5,39,67,79,125,130],"hot":[6],"topic":[7],"in":[8,49,115,168],"geoscience":[9],"and":[10,60,69,118,129,149,164,185,192],"remote":[11],"sensing":[12],"(RS)":[13],"with":[14,73,83,93,146],"widespread":[15],"applications.":[16],"However,":[17],"most":[18],"existing":[19],"BCD":[20,159],"methods":[21],"only":[22],"focus":[23],"on":[24],"areas":[25],"where":[26],"changes":[27,107],"have":[28],"occurred,":[29],"but":[30],"ignore":[31],"the":[32,56,90,94,102,106,116,122,141,173],"statuses.":[34],"To":[35],"address":[36],"this":[37,50,169],"problem,":[38],"building":[40,109],"fine-grained":[41],"(BFCD)":[44],"task":[45],"further":[47],"explored":[48],"work,":[51],"which":[52,111],"aims":[53],"to":[54,88,171],"judge":[55],"time-related":[57],"\u201cdisappeared\u201d,":[58],"\u201cappeared\u201d,":[59],"\u201crebuilt\u201d":[61],"types":[63],"of":[64,97,121,144,175],"buildings.":[65,123],"Meanwhile,":[66],"scale-":[68],"shape-aware":[70,131],"network":[71],"(S2Net)":[72],"prediction":[74,80,91],"decoupling":[75,81],"designed.":[77,135],"Firstly,":[78],"framework":[82],"dual":[84],"decoders":[85],"built":[87],"ensure":[89],"consistency":[92],"temporal":[95],"order":[96],"bi-temporal":[98],"images.":[99],"Secondly,":[100],"considering":[101],"rebuilt":[103],"type":[104],"between":[108],"instances,":[110],"are":[112,134,166],"often":[113],"reflected":[114],"scale":[117],"shape":[119],"differences":[120],"Thereby,":[124],"scale-aware":[126],"module":[127,132],"(ScAM)":[128],"(ShAM)":[133],"These":[136],"two":[137,158],"modules":[138],"help":[139],"extract":[140],"discriminative":[142],"features":[143],"buildings":[145],"different":[147],"scales":[148],"shapes":[150],"for":[151],"subsequent":[152],"(CD).":[155],"In":[156],"addition,":[157],"datasets":[160,193],"widely":[161],"used,":[162],"LEVIR-CD+":[163],"WHU-CD,":[165],"relabeled":[167],"work":[170],"support":[172],"study":[174],"BFCD.":[176],"Experimental":[177],"results":[178],"show":[179],"that":[180],"S2Net":[181],"achieves":[182],"competitive":[183],"performance,":[184],"its":[186],"effectiveness":[187],"confirmed.":[189],"The":[190],"code":[191],"will":[194],"be":[195],"publicly":[196],"available":[197],"at":[198],"https://github.com/ptdoge/S2Net.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}