{"id":"https://openalex.org/W4400488132","doi":"https://doi.org/10.1109/access.2024.3426040","title":"LSI-YOLOv8: An Improved Rapid and High Accuracy Landslide Identification Model Based on YOLOv8 From Remote Sensing Images","display_name":"LSI-YOLOv8: An Improved Rapid and High Accuracy Landslide Identification Model Based on YOLOv8 From Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400488132","doi":"https://doi.org/10.1109/access.2024.3426040"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3426040","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3426040","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3426040","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029899663","display_name":"Xinbao Chen","orcid":"https://orcid.org/0000-0001-8380-2188"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]},{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinbao Chen","raw_affiliation_strings":["School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, Hunan, China","Sanya Research Institute of Hunan University of Science and Technology, Sanya, Hainan, China"],"affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, Hunan, China","institution_ids":["https://openalex.org/I121296143"]},{"raw_affiliation_string":"Sanya Research Institute of Hunan University of Science and Technology, Sanya, Hainan, China","institution_ids":["https://openalex.org/I4210149102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115591728","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0003-0650-1773"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, Hunan, China"],"affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, Hunan, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100496108","display_name":"Shan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162797","display_name":"Hunan Institute of Microbiology","ror":"https://ror.org/054fkw726","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162797"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Wang","raw_affiliation_strings":["Hunan Institute of Geological Disaster Investigation and Monitoring, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Hunan Institute of Geological Disaster Investigation and Monitoring, Changsha, Hunan, China","institution_ids":["https://openalex.org/I4210162797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100496109","display_name":"Xinping Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162797","display_name":"Hunan Institute of Microbiology","ror":"https://ror.org/054fkw726","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162797"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinping Deng","raw_affiliation_strings":["Hunan Institute of Geological Disaster Investigation and Monitoring, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Hunan Institute of Geological Disaster Investigation and Monitoring, Changsha, Hunan, China","institution_ids":["https://openalex.org/I4210162797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029899663"],"corresponding_institution_ids":["https://openalex.org/I121296143","https://openalex.org/I4210149102"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":10.0131,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.97898058,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"97739","last_page":"97751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10644","display_name":"Cryospheric studies and observations","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.7177610993385315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6707398891448975},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6392446756362915},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6281305551528931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44826775789260864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3763907551765442},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33162856101989746},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2769351005554199},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.12043333053588867}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.7177610993385315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707398891448975},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6392446756362915},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6281305551528931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44826775789260864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3763907551765442},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33162856101989746},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2769351005554199},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.12043333053588867},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3426040","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3426040","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fdd75baa36eb40e496b631bc26ff52c0","is_oa":true,"landing_page_url":"https://doaj.org/article/fdd75baa36eb40e496b631bc26ff52c0","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":"IEEE Access, Vol 12, Pp 97739-97751 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3426040","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3426040","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2725990334","display_name":null,"funder_award_id":"S202310534169","funder_id":"https://openalex.org/F4320336008","funder_display_name":"National College Students Innovation and Entrepreneurship Training Program"},{"id":"https://openalex.org/G7400427241","display_name":null,"funder_award_id":"S202310534031","funder_id":"https://openalex.org/F4320336008","funder_display_name":"National College Students Innovation and Entrepreneurship Training Program"}],"funders":[{"id":"https://openalex.org/F4320336008","display_name":"National College Students Innovation and Entrepreneurship Training Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1982623886","https://openalex.org/W2050599078","https://openalex.org/W2081620141","https://openalex.org/W2113972550","https://openalex.org/W2127348003","https://openalex.org/W2149866614","https://openalex.org/W2193145675","https://openalex.org/W2369104181","https://openalex.org/W2504335775","https://openalex.org/W2751000232","https://openalex.org/W2797719908","https://openalex.org/W2896947203","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2990763144","https://openalex.org/W3003882269","https://openalex.org/W3006465720","https://openalex.org/W3037891846","https://openalex.org/W3047392236","https://openalex.org/W3103694056","https://openalex.org/W3106250896","https://openalex.org/W3122173535","https://openalex.org/W3127579051","https://openalex.org/W3161697506","https://openalex.org/W3171038842","https://openalex.org/W3203344601","https://openalex.org/W3208273481","https://openalex.org/W3209356675","https://openalex.org/W4281790833","https://openalex.org/W4289316013","https://openalex.org/W4310745603","https://openalex.org/W4312960790","https://openalex.org/W4321350787","https://openalex.org/W4385839827","https://openalex.org/W4386076325","https://openalex.org/W4387503356","https://openalex.org/W4388823657","https://openalex.org/W4390499842","https://openalex.org/W4391307079","https://openalex.org/W4391348176","https://openalex.org/W4391594024","https://openalex.org/W4393085021","https://openalex.org/W4403626363","https://openalex.org/W4403770406","https://openalex.org/W6782259796","https://openalex.org/W6847475553","https://openalex.org/W6862000706","https://openalex.org/W6872825746"],"related_works":["https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W3201652628","https://openalex.org/W4212972401","https://openalex.org/W2389287188","https://openalex.org/W3081499580","https://openalex.org/W2615020820","https://openalex.org/W3106883776","https://openalex.org/W2950100253"],"abstract_inverted_index":{"The":[0,226,237],"rapid":[1],"identification":[2,72,235],"of":[3,23,117,153,194,239,266,274],"landslides":[4],"in":[5],"mountainous":[6],"terrain":[7],"through":[8],"remote":[9,74],"sensing":[10,75],"imagery":[11],"after":[12],"earthquakes":[13],"or":[14],"heavy":[15],"rainfall":[16],"is":[17,180,198,202],"crucial":[18],"for":[19,30,232],"assessing":[20],"the":[21,24,63,86,114,118,122,151,191,195,264,272],"severity":[22],"situation":[25],"and":[26,39,47,69,108,162,171,184,214,224,256],"providing":[27],"timely":[28],"assistance":[29],"post-disaster":[31],"rescue":[32],"operations.":[33],"However,":[34],"traditional":[35],"manual":[36],"interpretation":[37],"methods":[38],"computer":[40],"vision":[41],"techniques":[42,83],"tend":[43],"to":[44,66,101,140,219,262,270],"be":[45,243],"inefficient":[46],"time-consuming.":[48],"To":[49],"address":[50],"this":[51,78],"problem,":[52],"we":[53,80,90,112],"propose":[54],"a":[55],"novel":[56],"algorithm":[57],"called":[58],"LSI-YOLOv8,":[59],"which":[60,201],"builds":[61],"upon":[62],"lightweight":[64],"YOLOv8":[65,87],"enable":[67],"fast":[68],"accurate":[70],"landslide":[71,234,275],"using":[73],"imagery.":[76],"In":[77],"study,":[79],"introduce":[81],"optimization":[82],"integrated":[84],"into":[85],"model.":[88],"Firstly,":[89],"incorporate":[91],"an":[92],"expandable":[93],"residual":[94],"attention":[95],"Dilation-wise":[96],"Residual":[97],"Segmentation":[98],"(DWRSeg)":[99],"module":[100],"reconstruct":[102],"its":[103],"neck":[104],"structure,":[105],"reducing":[106],"parameters":[107],"computational":[109],"load.":[110],"Additionally,":[111],"enhance":[113],"positioning":[115],"ability":[116],"model":[119,197],"by":[120,205],"replacing":[121],"bounding":[123],"box":[124],"loss":[125],"function":[126],"Complete":[127],"Intersection":[128,134],"over":[129,135],"Union":[130,136],"(CIoU)":[131],"with":[132,147,165],"Efficient":[133],"(EIoU),":[137],"optimizing":[138],"it":[139],"improve":[141,271],"computing":[142],"speed.":[143],"Through":[144],"comparative":[145],"experiments":[146],"other":[148,175],"state-of-the-art":[149],"models,":[150,176],"accuracy":[152,273],"our":[154],"LSI-YOLOv8":[155,196],"significantly":[156],"outperforms":[157],"Mask-RCNN,":[158,220],"YOLOv5,":[159,221],"YOLOv7,":[160,222],"YOLOv8,":[161,223],"YOLOv9":[163],"model,":[164],"mAP@0.5":[166,178],"being":[167],"9.0%,7.7%,":[168],"4.0%,":[169],"6.3%,":[170],"2.9%":[172],"higher":[173,186],"than":[174,187],"while":[177],":0.95":[179],"3.1%,3.6%,":[181],"2.7%,":[182],"4.8%,":[183],"0.3%":[185],"others,":[188],"respectively.":[189],"Furthermore,":[190],"detecting":[192],"speed":[193],"73.2":[199],"f/s,":[200,207,209,211,213],"notably":[203],"faster":[204],"15.5":[206],"3.5":[208],"5.1":[210],"5.9":[212],"4.3":[215],"f/s":[216],"respectively,":[217],"compared":[218],"YOLOv9.":[225],"proposed":[227],"method":[228],"provides":[229],"valuable":[230],"insights":[231],"advancing":[233],"methodologies.":[236],"focus":[238],"subsequent":[240],"work":[241],"will":[242],"more":[244],"on":[245],"multi-source":[246],"data":[247,255,261],"fusion,":[248],"such":[249],"as":[250],"Digital":[251],"Elevation":[252],"Model":[253],"(DEM)":[254],"Synthetic":[257],"Aperture":[258],"Radar":[259],"(SAR)":[260],"remove":[263],"influence":[265],"some":[267],"background":[268],"information":[269],"identification.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}