{"id":"https://openalex.org/W4391128373","doi":"https://doi.org/10.1109/lgrs.2024.3357777","title":"Adapting Segment Anything Model to Aerial Land Cover Classification With Low-Rank Adaptation","display_name":"Adapting Segment Anything Model to Aerial Land Cover Classification With Low-Rank Adaptation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391128373","doi":"https://doi.org/10.1109/lgrs.2024.3357777"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3357777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3357777","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5034662923","display_name":"Bowei Xue","orcid":"https://orcid.org/0000-0002-8927-7190"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bowei Xue","raw_affiliation_strings":["Geovis Spatial Technology Company Ltd., Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Geovis Spatial Technology Company Ltd., Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101739039","display_name":"Han Cheng","orcid":"https://orcid.org/0009-0003-5104-6690"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Cheng","raw_affiliation_strings":["Geovis Spatial Technology Company Ltd., Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Geovis Spatial Technology Company Ltd., Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101958731","display_name":"Qingqing Yang","orcid":"https://orcid.org/0009-0002-5580-4113"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qingqing Yang","raw_affiliation_strings":["Geovis Spatial Technology Company Ltd., Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Geovis Spatial Technology Company Ltd., Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607921","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0003-0954-5077"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["Institute of Space Science and Applied Technology, Harbin Institute of Technology at Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Institute of Space Science and Applied Technology, Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100915264","display_name":"Xiaoning He","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoning He","raw_affiliation_strings":["Geovis Spatial Technology Company Ltd., Xi’an, China","College of Geological Engineering and Geomatics, Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Geovis Spatial Technology Company Ltd., Xi’an, China","institution_ids":[]},{"raw_affiliation_string":"College of Geological Engineering and Geomatics, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034662923"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5674,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97933689,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9049000144004822,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9049000144004822,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.698132336139679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5977619886398315},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5757110118865967},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5149251222610474},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.488149493932724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45733150839805603},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.43518057465553284},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3661412000656128},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.341141015291214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32897940278053284},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3213903307914734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13028976321220398},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11988794803619385}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.698132336139679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5977619886398315},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5757110118865967},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5149251222610474},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.488149493932724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45733150839805603},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.43518057465553284},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3661412000656128},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.341141015291214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32897940278053284},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3213903307914734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13028976321220398},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11988794803619385},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3357777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3357777","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2787091153","https://openalex.org/W2884822772","https://openalex.org/W2955058313","https://openalex.org/W3159637683","https://openalex.org/W4205138939","https://openalex.org/W4312556441","https://openalex.org/W4322728013","https://openalex.org/W4367365477","https://openalex.org/W4379256243","https://openalex.org/W4385864282","https://openalex.org/W4386987615","https://openalex.org/W4388129777","https://openalex.org/W4389430914","https://openalex.org/W4390874575","https://openalex.org/W4394597311","https://openalex.org/W6762718338","https://openalex.org/W6796581206","https://openalex.org/W6797399245","https://openalex.org/W6838393215","https://openalex.org/W6852008662","https://openalex.org/W6852044425","https://openalex.org/W6852445233","https://openalex.org/W6853265807"],"related_works":["https://openalex.org/W623607250","https://openalex.org/W4245429118","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W3192667092","https://openalex.org/W4389201442","https://openalex.org/W2386169820","https://openalex.org/W604251607"],"abstract_inverted_index":{"Recently,":[0],"vision":[1,74],"foundation":[2],"models":[3],"have":[4],"gathered":[5],"wide":[6],"attention.":[7],"Among":[8],"the":[9,12,69,85,89,108,116,126,133],"many":[10],"endeavors,":[11],"Segment":[13],"Anything":[14],"Model":[15],"(SAM)":[16],"makes":[17],"remarkable":[18],"progress":[19],"toward":[20],"an":[21,58],"universal":[22],"model":[23,34,104],"showing":[24],"unprecedented":[25],"generalization":[26],"ability.":[27],"We":[28,55],"propose":[29],"a":[30,41],"novel":[31],"semantic":[32],"segmentation":[33,100],"that":[35],"combines":[36],"SAM\u2019s":[37],"image":[38],"encoder":[39,61,71],"and":[40,50,66,98,111,114,123],"low":[42],"rank":[43],"adaptation":[44,65],"approach":[45],"(LoRA)":[46],"for":[47,68,94,125],"feature":[48,82,96],"extraction":[49],"fine-tuning":[51],"on":[52,72,107],"aerial":[53],"images.":[54],"also":[56],"employ":[57],"auxiliary":[59],"CNN":[60],"to":[62,80],"facilitate":[63],"downstream":[64],"complement":[67],"ViT":[70],"dense":[73],"tasks.":[75],"Further,":[76],"cross-attention":[77],"is":[78,92],"utilized":[79],"implement":[81],"interactions":[83],"between":[84],"two":[86,127],"encoders.":[87],"Finally,":[88],"UperNet":[90],"head":[91],"employed":[93],"multi-scale":[95],"fusion":[97],"generating":[99],"masks.":[101],"The":[102,129],"proposed":[103],"was":[105],"evaluated":[106],"ISPRS":[109],"Vaihingen":[110],"Potsdam":[112],"dataset,":[113],"achieved":[115],"best":[117],"mean":[118],"intersection-over-union":[119],"(mIoU)":[120],"of":[121,135],"76.44":[122],"78.01":[124],"datasets.":[128],"evaluation":[130],"results":[131],"demonstrate":[132],"superiority":[134],"our":[136],"model.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}