{"id":"https://openalex.org/W4402262204","doi":"https://doi.org/10.1109/igarss53475.2024.10641507","title":"Landslidenet: Adaptive Vision Foundation Model for Landslide Detection","display_name":"Landslidenet: Adaptive Vision Foundation Model for Landslide Detection","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402262204","doi":"https://doi.org/10.1109/igarss53475.2024.10641507"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109492503","display_name":"Junchuan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junchuan Yu","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China","institution_ids":["https://openalex.org/I2799486974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101587407","display_name":"Yichuan Li","orcid":"https://orcid.org/0000-0001-7614-0382"},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichuan Li","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China","institution_ids":["https://openalex.org/I2799486974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760185","display_name":"Yangyang Chen","orcid":"https://orcid.org/0000-0002-3521-475X"},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyang Chen","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China","institution_ids":["https://openalex.org/I2799486974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102695392","display_name":"Changhong Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhong Hou","raw_affiliation_strings":["China University of Mining and Technology(Beijing),Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology(Beijing),Beijing,China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026572747","display_name":"Daqing Ge","orcid":"https://orcid.org/0009-0005-2779-8854"},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daqing Ge","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China","institution_ids":["https://openalex.org/I2799486974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040444639","display_name":"Yanni Ma","orcid":"https://orcid.org/0000-0002-4608-8664"},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanni Ma","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China","institution_ids":["https://openalex.org/I2799486974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101612846","display_name":"Qiong Wu","orcid":"https://orcid.org/0000-0002-4085-5180"},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Wu","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing,China","institution_ids":["https://openalex.org/I2799486974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2184,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83946155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"7282","last_page":"7285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9988999962806702,"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":0.9988999962806702,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9642000198364258,"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/landslide","display_name":"Landslide","score":0.6223241686820984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6015414595603943},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.5804284811019897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3877023458480835},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36944037675857544},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3602760434150696},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.2858169674873352},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2727808356285095},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08272600173950195}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.6223241686820984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6015414595603943},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.5804284811019897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3877023458480835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36944037675857544},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3602760434150696},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.2858169674873352},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2727808356285095},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08272600173950195},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"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":9,"referenced_works":["https://openalex.org/W2912361013","https://openalex.org/W3037891846","https://openalex.org/W3176211331","https://openalex.org/W4283030004","https://openalex.org/W4382465573","https://openalex.org/W4388129777","https://openalex.org/W4390874575","https://openalex.org/W4391021462","https://openalex.org/W4391991763"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,17,31,64,111,126],"Vison":[3],"Foundation":[4],"Models":[5],"(VFMs)":[6],"like":[7],"the":[8,70,73,78,101],"Segment":[9],"Anything":[10],"Model":[11],"(SAM)":[12],"have":[13],"exhibited":[14],"remarkable":[15],"progress":[16],"natural":[18],"image":[19],"segmentation.":[20],"However,":[21],"its":[22],"performance":[23,110],"on":[24,92],"remote":[25],"sensing":[26],"images":[27],"is":[28,57,84],"limited,":[29],"especially":[30],"some":[32],"application":[33],"scenarios":[34],"that":[35,100],"require":[36],"strong":[37],"expert":[38],"knowledge":[39],"involvement,":[40],"such":[41],"as":[42],"landslide":[43,74,95,117],"detection.":[44],"In":[45],"this":[46],"study,":[47],"we":[48],"proposed":[49,82,102],"an":[50,120],"effective":[51],"segmentation":[52],"model,":[53],"namely":[54],"LandslideNet,":[55],"which":[56],"realized":[58],"by":[59],"embedding":[60],"a":[61,65],"tuning":[62],"layer":[63],"pre-trained":[66],"encoder":[67],"and":[68,115,129],"adapting":[69],"SAM":[71],"to":[72,132],"detection":[75],"scene":[76],"for":[77],"first":[79],"time.":[80],"The":[81,97],"method":[83],"compared":[85,131],"with":[86,104,119],"traditional":[87],"convolutional":[88],"neural":[89],"networks":[90],"(CNN)":[91],"two":[93],"well-known":[94],"datasets.":[96],"results":[98],"indicate":[99],"model":[103],"fewer":[105],"training":[106],"parameters":[107],"has":[108],"better":[109],"detecting":[112],"small-scale":[113],"targets":[114],"delineating":[116],"boundaries,":[118],"improvement":[121],"of":[122],"6-7":[123],"percentage":[124],"points":[125],"accuracy":[127],"(F1":[128],"mIoU)":[130],"mainstream":[133],"CNN-based":[134],"methods.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}