{"id":"https://openalex.org/W4411750722","doi":"https://doi.org/10.1080/17538947.2025.2523490","title":"CFP-SwinT: building damage classification during floods using cross fusion pyramid Swin-T","display_name":"CFP-SwinT: building damage classification during floods using cross fusion pyramid Swin-T","publication_year":2025,"publication_date":"2025-06-28","ids":{"openalex":"https://openalex.org/W4411750722","doi":"https://doi.org/10.1080/17538947.2025.2523490"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2025.2523490","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2523490","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/17538947.2025.2523490","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014156648","display_name":"Chuyi Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuyi Wu","raw_affiliation_strings":["Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou, People's Republic of China","Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou, People's Republic of China","institution_ids":[]},{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599637","display_name":"Zeyu Wang","orcid":"https://orcid.org/0000-0003-1218-054X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Wang","raw_affiliation_strings":["Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou, People's Republic of China","Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou, People's Republic of China","institution_ids":[]},{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000395252","display_name":"Junshi Xia","orcid":"https://orcid.org/0000-0002-5586-6536"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junshi Xia","raw_affiliation_strings":["Geoinformatics Team, RIKEN Center for Advanced Intelligence Project"],"affiliations":[{"raw_affiliation_string":"Geoinformatics Team, RIKEN Center for Advanced Intelligence Project","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401308","display_name":"Feng Zhang","orcid":"https://orcid.org/0000-0003-1475-8480"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou, People's Republic of China","Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou, People's Republic of China","institution_ids":[]},{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100401308"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":2.8599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91608959,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"18","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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":0.9901999831199646,"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/pyramid","display_name":"Pyramid (geometry)","score":0.5848524570465088},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.5053778290748596},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4932059645652771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3969042897224426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3721579909324646},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35342341661453247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33449602127075195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20190557837486267},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11207082867622375}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5848524570465088},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.5053778290748596},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4932059645652771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3969042897224426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3721579909324646},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35342341661453247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33449602127075195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20190557837486267},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11207082867622375}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2025.2523490","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2523490","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7b65763c53384f76a2c84fb7125d1128","is_oa":true,"landing_page_url":"https://doaj.org/article/7b65763c53384f76a2c84fb7125d1128","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":"International Journal of Digital Earth, Vol 18, Iss 1 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2025.2523490","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2523490","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"},{"score":0.5600000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1251819073","display_name":null,"funder_award_id":"2019YFE0127400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7544647383","display_name":null,"funder_award_id":"23K24865","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"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":51,"referenced_works":["https://openalex.org/W1444085867","https://openalex.org/W1686810756","https://openalex.org/W1981119501","https://openalex.org/W2027000042","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2113770960","https://openalex.org/W2114471377","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2610614780","https://openalex.org/W2618851150","https://openalex.org/W2739310573","https://openalex.org/W2752782242","https://openalex.org/W2792148934","https://openalex.org/W2895281799","https://openalex.org/W2908510526","https://openalex.org/W2919115771","https://openalex.org/W2963446712","https://openalex.org/W2967473420","https://openalex.org/W3022974659","https://openalex.org/W3042283765","https://openalex.org/W3091568226","https://openalex.org/W3094502228","https://openalex.org/W3111269891","https://openalex.org/W3121523901","https://openalex.org/W3126315990","https://openalex.org/W3131500599","https://openalex.org/W3132720385","https://openalex.org/W3134173255","https://openalex.org/W3138516171","https://openalex.org/W3157528469","https://openalex.org/W3173994423","https://openalex.org/W3175213166","https://openalex.org/W3181564060","https://openalex.org/W3187945933","https://openalex.org/W3209989670","https://openalex.org/W3217147624","https://openalex.org/W4200169950","https://openalex.org/W4200394859","https://openalex.org/W4206309202","https://openalex.org/W4212991200","https://openalex.org/W4281486775","https://openalex.org/W4281707765","https://openalex.org/W4291448914","https://openalex.org/W4307823382","https://openalex.org/W4313124045","https://openalex.org/W4362661305","https://openalex.org/W4387179455","https://openalex.org/W4389917947","https://openalex.org/W6688325169"],"related_works":["https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W3186982001","https://openalex.org/W1984402782","https://openalex.org/W2137941439","https://openalex.org/W2004200960","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Timely":[0],"building":[1,28,54,86,102],"damage":[2,30,55,106],"detection":[3],"is":[4,50,187],"crucial":[5],"in":[6,47,75],"disaster":[7,35,132,160],"decision-making.":[8],"Unlike":[9],"existing":[10],"studies":[11],"using":[12],"sub-meter":[13],"resolution":[14,20],"images,":[15],"we":[16,60,145],"employ":[17],"stable,":[18],"mid-high":[19],"(1\u20133":[21],"meters)":[22],"remote":[23],"sensing":[24],"data":[25],"to":[26,52,83,99,141,161],"develop":[27],"flood":[29,76,167],"classification":[31],"methods":[32],"for":[33,183],"quick":[34],"response.":[36],"A":[37],"mid-high-resolution":[38],"dataset":[39],"of":[40],"973":[41],"Planet-sliced":[42],"images":[43,94],"from":[44,92],"three":[45],"floods":[46],"different":[48,142],"countries":[49],"presented":[51],"facilitate":[53],"classification.":[56],"Based":[57],"on":[58,123,130,158,165],"this,":[59],"propose":[61],"a":[62,96,155],"Cross":[63],"Fusion":[64],"Pyramid":[65],"Swin":[66],"Transformer":[67],"(CFP-SwinT),":[68],"which":[69,174],"balances":[70],"local":[71],"and":[72,88,105,117,119,134],"global":[73],"representations":[74],"scenes.":[77],"The":[78,181],"model":[79,156],"employs":[80],"feature":[81],"pyramids":[82],"classify":[84],"multi-scale":[85,131],"groups,":[87],"integrates":[89],"spatial-channel":[90],"features":[91],"dual-time":[93],"via":[95],"cross-fusion":[97],"block":[98],"jointly":[100],"capture":[101],"groups":[103],"(pre-disaster)":[104],"severity":[107],"(post-disaster).":[108],"Through":[109],"extensive":[110],"experiments,":[111],"CFP-SwinT":[112],"outperformed":[113],"all":[114],"other":[115],"backbones":[116],"settings":[118],"achieved":[120],"80.2%":[121],"accuracy":[122,164],"four-level":[124],"classification,":[125],"demonstrating":[126],"its":[127],"effective":[128],"focus":[129],"information":[133],"dual-temporal":[135],"changes.":[136],"To":[137],"enable":[138],"rapid":[139],"adaptation":[140,150],"disaster-affected":[143],"regions,":[144],"combined":[146],"an":[147],"unsupervised":[148],"domain":[149],"method":[151,186],"with":[152],"CFP-SwinT,":[153],"allowing":[154],"trained":[157],"one":[159],"achieve":[162],"77.8%":[163],"unseen":[166],"events.":[168],"This":[169],"approach":[170],"avoids":[171],"sample":[172],"labeling,":[173],"can":[175],"benefit":[176],"decision-making":[177],"efficiency":[178],"during":[179],"disasters.":[180],"code":[182],"the":[184],"proposed":[185],"available":[188],"at":[189],"https://github.com/WuChuYi/Cross-Fusion-Pyramid-Swin-Transformer.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
