{"id":"https://openalex.org/W7139061909","doi":"https://doi.org/10.1145/3788149.3788218","title":"Improved Post-Earthquake Damaged Building Identification Model Based on a Semantic Change Detection Framework","display_name":"Improved Post-Earthquake Damaged Building Identification Model Based on a Semantic Change Detection Framework","publication_year":2025,"publication_date":"2025-12-12","ids":{"openalex":"https://openalex.org/W7139061909","doi":"https://doi.org/10.1145/3788149.3788218"},"language":null,"primary_location":{"id":"doi:10.1145/3788149.3788218","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788149.3788218","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3788149.3788218","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuanhao Wang","orcid":"https://orcid.org/0009-0006-3771-6952"},"institutions":[{"id":"https://openalex.org/I4210162109","display_name":"Institute for Forecasting of the Slovak Academy of Sciences","ror":"https://ror.org/05b5a6q69","country_code":"SK","type":"facility","lineage":["https://openalex.org/I207624831","https://openalex.org/I4210119981","https://openalex.org/I4210162109"]},{"id":"https://openalex.org/I90149893","display_name":"China Earthquake Administration","ror":"https://ror.org/045sza929","country_code":"CN","type":"facility","lineage":["https://openalex.org/I90149893"]}],"countries":["CN","SK"],"is_corresponding":false,"raw_author_name":"Yuanhao Wang","raw_affiliation_strings":["Institute of Earthquake Forecasting,CEA, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-3771-6952","affiliations":[{"raw_affiliation_string":"Institute of Earthquake Forecasting,CEA, Beijing, China","institution_ids":["https://openalex.org/I90149893","https://openalex.org/I4210162109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021483082","display_name":"S. Y. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162109","display_name":"Institute for Forecasting of the Slovak Academy of Sciences","ror":"https://ror.org/05b5a6q69","country_code":"SK","type":"facility","lineage":["https://openalex.org/I207624831","https://openalex.org/I4210119981","https://openalex.org/I4210162109"]},{"id":"https://openalex.org/I90149893","display_name":"China Earthquake Administration","ror":"https://ror.org/045sza929","country_code":"CN","type":"facility","lineage":["https://openalex.org/I90149893"]}],"countries":["CN","SK"],"is_corresponding":false,"raw_author_name":"Shumin Wang","raw_affiliation_strings":["Institute of Earthquake Forecasting,CEA, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8859-0716","affiliations":[{"raw_affiliation_string":"Institute of Earthquake Forecasting,CEA, Beijing, China","institution_ids":["https://openalex.org/I90149893","https://openalex.org/I4210162109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104223755","display_name":"Ziying Gu","orcid":"https://orcid.org/0009-0002-4893-5035"},"institutions":[{"id":"https://openalex.org/I4210162109","display_name":"Institute for Forecasting of the Slovak Academy of Sciences","ror":"https://ror.org/05b5a6q69","country_code":"SK","type":"facility","lineage":["https://openalex.org/I207624831","https://openalex.org/I4210119981","https://openalex.org/I4210162109"]},{"id":"https://openalex.org/I90149893","display_name":"China Earthquake Administration","ror":"https://ror.org/045sza929","country_code":"CN","type":"facility","lineage":["https://openalex.org/I90149893"]}],"countries":["CN","SK"],"is_corresponding":false,"raw_author_name":"Ziying Gu","raw_affiliation_strings":["Institute of Earthquake Forecasting,CEA, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-4893-5035","affiliations":[{"raw_affiliation_string":"Institute of Earthquake Forecasting,CEA, Beijing, China","institution_ids":["https://openalex.org/I90149893","https://openalex.org/I4210162109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130060746","display_name":"Xiangkun Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162109","display_name":"Institute for Forecasting of the Slovak Academy of Sciences","ror":"https://ror.org/05b5a6q69","country_code":"SK","type":"facility","lineage":["https://openalex.org/I207624831","https://openalex.org/I4210119981","https://openalex.org/I4210162109"]},{"id":"https://openalex.org/I90149893","display_name":"China Earthquake Administration","ror":"https://ror.org/045sza929","country_code":"CN","type":"facility","lineage":["https://openalex.org/I90149893"]}],"countries":["CN","SK"],"is_corresponding":false,"raw_author_name":"Xiangkun Kong","raw_affiliation_strings":["Institute of Earthquake Forecasting,CEA, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-8925-4386","affiliations":[{"raw_affiliation_string":"Institute of Earthquake Forecasting,CEA, Beijing, China","institution_ids":["https://openalex.org/I90149893","https://openalex.org/I4210162109"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69280027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.19900000095367432,"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":0.19900000095367432,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.15240000188350677,"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/T10747","display_name":"Disaster Management and Resilience","score":0.066600002348423,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5239999890327454},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44519999623298645},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.3278999924659729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3084000051021576},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2953000068664551}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5666999816894531},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5239999890327454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44519999623298645},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2953000068664551},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2637999951839447},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.26339998841285706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3788149.3788218","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788149.3788218","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3788149.3788218","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788149.3788218","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4587939977645874,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2412782625","https://openalex.org/W2884585870","https://openalex.org/W3115470671","https://openalex.org/W3175213166","https://openalex.org/W4296999582","https://openalex.org/W4390273623","https://openalex.org/W4394007483","https://openalex.org/W4401067904","https://openalex.org/W4404132829","https://openalex.org/W4404229685","https://openalex.org/W4404483392","https://openalex.org/W4409075216","https://openalex.org/W4415428460"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"identification":[1,26,30,188],"and":[2,15,39,47,85,135,157,170,181,189,234,240],"classification":[3,56],"of":[4,8,31,42,67,77,94,110,141,179,191,230],"earthquake-damaged":[5],"buildings":[6,33],"are":[7,99],"great":[9],"importance":[10],"for":[11,22,58,118,132,153],"post-disaster":[12],"loss":[13],"assessment":[14,41],"emergency":[16],"response.":[17],"Existing":[18],"deep":[19],"learning-based":[20],"methods":[21,98,227],"post-earthquake":[23,36,48,142],"building":[24,43,155],"damage":[25,44,60,143],"mainly":[27],"include":[28],"the":[29,40,63,108,111,139,163,187,201,218],"damaged":[32,95,154,192],"using":[34,45,198],"only":[35],"single-temporal":[37],"imagery":[38],"pre-":[46,180],"dual-temporal":[49],"imagery.":[50],"The":[51,159,194],"former":[52],"often":[53],"lacks":[54],"fine-grained":[55],"capability":[57,131],"different":[59],"levels,":[61],"while":[62,127],"latter,":[64],"though":[65],"capable":[66],"leveraging":[68],"change":[69,150,177,225],"information":[70],"to":[71,101,173],"improve":[72],"accuracy,":[73],"requires":[74],"large":[75],"quantities":[76],"undamaged":[78],"pre-event":[79],"samples,":[80],"thereby":[81],"increasing":[82],"data":[83,199],"annotation":[84],"training":[86],"costs.":[87],"Moreover,":[88],"in":[89,228],"scenarios":[90],"with":[91,166],"low":[92],"proportions":[93],"buildings,":[96],"such":[97],"prone":[100],"introducing":[102],"redundant":[103],"information.":[104],"In":[105],"recent":[106],"years,":[107],"emergence":[109],"Mamba":[112,123],"architecture":[113],"has":[114],"provided":[115],"new":[116],"insights":[117],"efficient":[119,175],"visual":[120],"representation":[121],"learning.":[122],"achieves":[124],"linear-time":[125],"complexity":[126],"maintaining":[128],"strong":[129,238],"modeling":[130,178],"long":[133],"sequences":[134],"long-range":[136],"dependencies.":[137],"Considering":[138],"characteristics":[140],"identification,":[144],"this":[145],"study":[146],"proposes":[147],"a":[148],"semantic":[149,176,224],"detection-based":[151],"model":[152,220],"recognition":[156,232],"classification.":[158],"proposed":[160,219],"framework":[161],"integrates":[162],"VMamba":[164],"backbone":[165],"convolutional":[167],"neural":[168],"networks":[169],"attention":[171],"mechanisms":[172],"achieve":[174],"post-event":[182],"images,":[183],"focusing":[184],"specifically":[185],"on":[186,210],"categorization":[190],"buildings.":[193],"method":[195],"is":[196],"validated":[197],"from":[200],"Ms6.8":[202],"earthquake":[203],"that":[204,217],"struck":[205],"Dingri":[206],"County,":[207],"Xizang,":[208],"China,":[209],"January":[211],"7,":[212],"2025.":[213],"Experimental":[214],"results":[215],"demonstrate":[216],"outperforms":[221],"existing":[222],"state-of-the-art":[223],"detection":[226],"terms":[229],"both":[231],"accuracy":[233],"computational":[235],"efficiency,":[236],"exhibiting":[237],"robustness":[239],"application":[241],"potential.":[242]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-20T00:00:00"}
