{"id":"https://openalex.org/W4206754102","doi":"https://doi.org/10.3390/rs14020382","title":"Automatic Extraction of Damaged Houses by Earthquake Based on Improved YOLOv5: A Case Study in Yangbi","display_name":"Automatic Extraction of Damaged Houses by Earthquake Based on Improved YOLOv5: A Case Study in Yangbi","publication_year":2022,"publication_date":"2022-01-14","ids":{"openalex":"https://openalex.org/W4206754102","doi":"https://doi.org/10.3390/rs14020382"},"language":"en","primary_location":{"id":"doi:10.3390/rs14020382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020382","pdf_url":"https://www.mdpi.com/2072-4292/14/2/382/pdf?version=1642154647","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/2/382/pdf?version=1642154647","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005496259","display_name":"Yafei Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Jing","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103039071","display_name":"Yuhuan Ren","orcid":"https://orcid.org/0009-0007-0724-5093"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhuan Ren","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100678289","display_name":"Yalan Liu","orcid":"https://orcid.org/0000-0002-6707-195X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yalan Liu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764100","display_name":"Dacheng Wang","orcid":"https://orcid.org/0009-0009-0640-566X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dacheng Wang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113165035","display_name":"Lijun Yu","orcid":"https://orcid.org/0000-0002-8480-7076"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjun Yu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"],"raw_orcid":"https://orcid.org/0000-0002-8480-7076","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100678289"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":7.9469,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.98240006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"2","first_page":"382","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9958999752998352,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7216722965240479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6057018041610718},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.602635383605957},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6004309058189392},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48533573746681213},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47649067640304565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43761318922042847},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41731441020965576},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3946353495121002},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1806575059890747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7216722965240479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6057018041610718},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.602635383605957},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6004309058189392},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48533573746681213},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47649067640304565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43761318922042847},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41731441020965576},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3946353495121002},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1806575059890747},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14020382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020382","pdf_url":"https://www.mdpi.com/2072-4292/14/2/382/pdf?version=1642154647","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d3cbb707177740a6b544acc90f5fb9bd","is_oa":true,"landing_page_url":"https://doaj.org/article/d3cbb707177740a6b544acc90f5fb9bd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 2, p 382 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/2/382/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14020382","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 2; Pages: 382","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14020382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020382","pdf_url":"https://www.mdpi.com/2072-4292/14/2/382/pdf?version=1642154647","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4819192623","display_name":null,"funder_award_id":"NO.2017YFC1500902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4206754102.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1557452405","https://openalex.org/W1973902211","https://openalex.org/W2032619266","https://openalex.org/W2045899806","https://openalex.org/W2109255472","https://openalex.org/W2167437424","https://openalex.org/W2295107390","https://openalex.org/W2326651888","https://openalex.org/W2361050326","https://openalex.org/W2570343428","https://openalex.org/W2593771152","https://openalex.org/W2799688575","https://openalex.org/W2883780447","https://openalex.org/W2897593716","https://openalex.org/W2906053293","https://openalex.org/W2913286592","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W2987144017","https://openalex.org/W2992240579","https://openalex.org/W2997900157","https://openalex.org/W2997910506","https://openalex.org/W3008967825","https://openalex.org/W3034971973","https://openalex.org/W3038902997","https://openalex.org/W3042011474","https://openalex.org/W3082867511","https://openalex.org/W3111994125","https://openalex.org/W3115470671","https://openalex.org/W3138211645","https://openalex.org/W3166611694","https://openalex.org/W3191773007","https://openalex.org/W3197086755","https://openalex.org/W6739901393","https://openalex.org/W6771994741"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W1523500768","https://openalex.org/W2517629151","https://openalex.org/W2121524756","https://openalex.org/W4206776094","https://openalex.org/W3154920669","https://openalex.org/W3121197456"],"abstract_inverted_index":{"Efficiently":[0],"and":[1,31,43,57,83,179,223,228,231,261,307,314],"automatically":[2,287],"acquiring":[3],"information":[4,121,128],"on":[5,95],"earthquake":[6,188],"damage":[7],"through":[8],"remote":[9,58],"sensing":[10,59],"has":[11,77,92],"posed":[12],"great":[13],"challenges":[14],"because":[15],"the":[16,62,96,111,119,126,130,135,139,145,156,163,181,185,203,207,215,247,256,262,283],"classical":[17],"methods":[18],"of":[19,37,64,98,113,122,129,195,235,305],"detecting":[20],"houses":[21,124,150,291],"damaged":[22,99,123,149,289],"by":[23,221],"destructive":[24,294],"earthquakes":[25,295],"are":[26],"often":[27],"both":[28],"time":[29,265],"consuming":[30],"low":[32],"in":[33,81,151,158,197,296,303],"accuracy.":[34],"A":[35],"series":[36],"deep-learning-based":[38],"techniques":[39],"have":[40,46],"been":[41,93],"developed":[42],"recent":[44],"studies":[45,69],"demonstrated":[47],"their":[48],"high":[49],"intelligence":[50],"for":[51,55,110,148,169,250,274],"automatic":[52],"target":[53],"extraction":[54,97,141],"natural":[56],"images.":[60,88],"For":[61],"detection":[63,112,233],"small":[65],"artificial":[66],"targets,":[67],"current":[68],"show":[70,205],"that":[71,206,255,282],"You":[72],"Only":[73],"Look":[74],"Once":[75],"(YOLO)":[76],"a":[78,106,190,211,232,300],"good":[79,301],"performance":[80,302],"aerial":[82],"Unmanned":[84],"Aerial":[85],"Vehicle":[86],"(UAV)":[87],"However,":[89],"less":[90],"work":[91],"conducted":[94],"houses.":[100,115],"In":[101,245],"this":[102],"study,":[103],"we":[104,133,161],"propose":[105],"YOLOv5s-ViT-BiFPN-based":[107],"neural":[108],"network":[109],"rural":[114,290],"Specifically,":[116],"to":[117,155,173,226,293],"enhance":[118],"feature":[120,131,140,171],"from":[125],"global":[127],"map,":[132],"introduce":[134],"Vision":[136],"Transformer":[137],"into":[138],"network.":[142],"Furthermore,":[143],"regarding":[144],"scale":[146],"differences":[147],"UAV":[152,297],"images":[153,298],"due":[154,292],"changes":[157],"flying":[159],"height,":[160],"apply":[162],"Bi-Directional":[164],"Feature":[165],"Pyramid":[166],"Network":[167],"(BiFPN)":[168],"multi-scale":[170],"fusion":[172],"aggregate":[174],"features":[175],"with":[176,189,214,299],"different":[177],"resolutions":[178],"test":[180,249],"model.":[182],"We":[183],"took":[184],"2021":[186],"Yangbi":[187],"surface":[191],"wave":[192],"magnitude":[193],"(Ms)":[194],"6.4":[196],"Yunan,":[198],"China,":[199],"as":[200,309,311],"an":[201],"example;":[202],"results":[204,280],"proposed":[208],"model":[209,285],"presents":[210],"better":[212],"performance,":[213],"average":[216,257],"precision":[217],"(AP)":[218],"being":[219,312],"increased":[220],"9.31%":[222],"1.23%":[224],"compared":[225],"YOLOv3":[227],"YOLOv5s,":[229],"respectively,":[230],"speed":[234],"80":[236],"FPS,":[237],"which":[238],"is":[239],"2.96":[240],"times":[241],"faster":[242],"than":[243],"YOLOv3.":[244],"addition,":[246],"transferability":[248],"five":[251],"other":[252],"areas":[253],"showed":[254],"accuracy":[258,306],"was":[259,266],"91.23%":[260],"total":[263],"processing":[264],"4":[267],"min,":[268],"while":[269],"100":[270],"min":[271],"were":[272],"needed":[273],"professional":[275],"visual":[276],"interpreters.":[277],"The":[278],"experimental":[279],"demonstrate":[281],"YOLOv5s-ViT-BiFPN":[284],"can":[286],"detect":[288],"terms":[304],"timeliness,":[308],"well":[310],"robust":[313],"transferable.":[315]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":11}],"updated_date":"2026-06-14T07:44:22.658603","created_date":"2025-10-10T00:00:00"}
