{"id":"https://openalex.org/W4312566847","doi":"https://doi.org/10.1109/igarss46834.2022.9883317","title":"Toward Faster and Accurate Post-Disaster Damage Assessment: Development of End-to-End Building Damage Detection Framework with Super-Resolution Architecture","display_name":"Toward Faster and Accurate Post-Disaster Damage Assessment: Development of End-to-End Building Damage Detection Framework with Super-Resolution Architecture","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312566847","doi":"https://doi.org/10.1109/igarss46834.2022.9883317"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883317","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.dl.itc.u-tokyo.ac.jp/record/2005928/files/K-08664.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079576507","display_name":"Xuanchao Fu","orcid":"https://orcid.org/0000-0002-8178-151X"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xuanchao Fu","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan","National Institute of Advance Industrial Science and Technology, Tokyo, Japan","The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"National Institute of Advance Industrial Science and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076704471","display_name":"Toru Kouyama","orcid":"https://orcid.org/0000-0002-1060-3986"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Kouyama","raw_affiliation_strings":["National Institute of Advance Industrial Science and Technology,Tokyo,Japan","National Institute of Advance Industrial Science and Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advance Industrial Science and Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"National Institute of Advance Industrial Science and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076641696","display_name":"Hang Yang","orcid":"https://orcid.org/0000-0002-5524-4227"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hang Yang","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan","The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005355820","display_name":"Ryosuke Nakamura","orcid":"https://orcid.org/0000-0002-3801-661X"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Nakamura","raw_affiliation_strings":["National Institute of Advance Industrial Science and Technology,Tokyo,Japan","National Institute of Advance Industrial Science and Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advance Industrial Science and Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"National Institute of Advance Industrial Science and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048541836","display_name":"Ichiro Yoshikawa","orcid":"https://orcid.org/0000-0002-8324-9404"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ichiro Yoshikawa","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan","The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3697,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68652442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1588","last_page":"1591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9975000023841858,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9940999746322632,"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":0.730089008808136},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5458505749702454},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.5246824622154236},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5202828049659729},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.49895215034484863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4943535327911377},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.47672000527381897},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43932071328163147},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.40890729427337646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37696173787117004},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.319710373878479},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07440832257270813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730089008808136},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5458505749702454},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.5246824622154236},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5202828049659729},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.49895215034484863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4943535327911377},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.47672000527381897},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43932071328163147},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.40890729427337646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37696173787117004},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.319710373878479},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07440832257270813}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883317","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00926:0005681856","is_oa":true,"landing_page_url":"https://repository.dl.itc.u-tokyo.ac.jp/records/2005928","pdf_url":"https://repository.dl.itc.u-tokyo.ac.jp/record/2005928/files/K-08664.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"master thesis"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:00926:0005681856","is_oa":true,"landing_page_url":"https://repository.dl.itc.u-tokyo.ac.jp/records/2005928","pdf_url":"https://repository.dl.itc.u-tokyo.ac.jp/record/2005928/files/K-08664.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"master thesis"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312566847.pdf","grobid_xml":"https://content.openalex.org/works/W4312566847.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1978749115","https://openalex.org/W2356988133","https://openalex.org/W2523714292","https://openalex.org/W2890166761","https://openalex.org/W2952634764","https://openalex.org/W2963470893","https://openalex.org/W2991131216","https://openalex.org/W3090598983","https://openalex.org/W3106719883","https://openalex.org/W3111207229","https://openalex.org/W3134173255","https://openalex.org/W3148230007","https://openalex.org/W3209292695","https://openalex.org/W4288020654"],"related_works":["https://openalex.org/W4387301579","https://openalex.org/W4232446690","https://openalex.org/W4296995023","https://openalex.org/W2070173637","https://openalex.org/W3118545013","https://openalex.org/W2133155333","https://openalex.org/W1516116847","https://openalex.org/W3171471732","https://openalex.org/W2412281349","https://openalex.org/W4212954839"],"abstract_inverted_index":{"Building":[0],"damage":[1],"detection":[2],"(BDD)":[3],"with":[4],"satellite":[5],"images":[6,62],"has":[7],"been":[8],"frequently":[9],"adopted":[10],"as":[11],"an":[12,77,122],"essential":[13],"reference":[14],"for":[15,42,50,88],"post-disaster":[16,95],"rescue,":[17],"whereas":[18],"its":[19],"timeliness":[20],"is":[21,40,47,83],"significantly":[22,135],"impacted":[23],"by":[24],"the":[25,52,99,105],"long":[26],"revisit":[27],"time":[28],"of":[29],"high-resolution":[30],"remote":[31],"sensing":[32],"satellites.":[33],"Therefore,":[34],"a":[35,64,140],"reliable":[36],"super-resolution":[37,127],"method":[38],"which":[39,133],"optimized":[41],"accurate":[43],"and":[44,73,79,108],"detail":[45],"BDD":[46,53,81,91,128],"fundamental":[48],"one":[49],"advancing":[51],"analysis":[54],"even":[55],"when":[56],"we":[57],"can":[58],"use":[59],"only":[60],"low-resolution":[61,94,131],"after":[63],"disaster.":[65],"Based":[66],"on":[67,121],"Super-Resolution":[68],"Generative":[69],"Adversarial":[70],"Network":[71],"(SRGAN)":[72],"U-Net":[74],"convolutional":[75],"network,":[76],"efficient":[78],"novel":[80],"framework":[82,100,124],"proposed":[84],"in":[85],"this":[86],"paper":[87],"obtaining":[89],"upsampled":[90],"results":[92,114],"from":[93,104,130,139],"images.":[96],"We":[97],"trained":[98],"using":[101],"two":[102],"disasters":[103],"xBD":[106],"dataset":[107],"tested":[109],"three":[110],"different":[111],"structures.":[112],"The":[113],"show":[115],"that":[116],"our":[117],"training":[118,142],"structure":[119],"based":[120],"end-to-end":[123],"successfully":[125],"generated":[126],"maps":[129],"images,":[132],"performed":[134],"better":[136],"than":[137],"those":[138],"two-stage":[141],"structure.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
