{"id":"https://openalex.org/W4391991763","doi":"https://doi.org/10.1109/tgrs.2024.3368168","title":"Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images","display_name":"Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391991763","doi":"https://doi.org/10.1109/tgrs.2024.3368168"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3368168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3368168","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10443350","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088242752","display_name":"Lei Ding","orcid":"https://orcid.org/0000-0003-0653-8373"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ding","raw_affiliation_strings":["Department of Big Data Analysis, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0653-8373","affiliations":[{"raw_affiliation_string":"Department of Big Data Analysis, PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040696909","display_name":"Kun Zhu","orcid":"https://orcid.org/0000-0001-6279-9215"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhu","raw_affiliation_strings":["Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6279-9215","affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071358222","display_name":"Daifeng Peng","orcid":"https://orcid.org/0000-0001-8966-2956"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daifeng Peng","raw_affiliation_strings":["School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8966-2956","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050748634","display_name":"Hao Tang","orcid":"https://orcid.org/0000-0002-2077-1246"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Tang","raw_affiliation_strings":["Department of Information Technology and Electrical Engineering, ETH Zürich, Zürich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-2077-1246","affiliations":[{"raw_affiliation_string":"Department of Information Technology and Electrical Engineering, ETH Zürich, Zürich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022560867","display_name":"Kuiwu Yang","orcid":"https://orcid.org/0000-0002-0201-9229"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuiwu Yang","raw_affiliation_strings":["Department of Big Data Analysis, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Big Data Analysis, PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6036-459X","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":29.828,"has_fulltext":false,"cited_by_count":175,"citation_normalized_percentile":{"value":0.99862496,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9861000180244446,"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":0.9861000180244446,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.942300021648407,"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/remote-sensing","display_name":"Remote sensing","score":0.7225608825683594},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.691188633441925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6231963634490967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45258861780166626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45188793540000916},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2993379831314087}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7225608825683594},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.691188633441925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6231963634490967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45258861780166626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45188793540000916},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2993379831314087}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2024.3368168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3368168","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/443995","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10443350","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:iris.unitn.it:11572/443995","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10443350","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4646992376","display_name":null,"funder_award_id":"42201443","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W2624871570","https://openalex.org/W2741377155","https://openalex.org/W2792827505","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W2951991161","https://openalex.org/W2995808743","https://openalex.org/W2997043451","https://openalex.org/W3009942016","https://openalex.org/W3015038817","https://openalex.org/W3025400702","https://openalex.org/W3027225766","https://openalex.org/W3048064159","https://openalex.org/W3102127038","https://openalex.org/W3103263155","https://openalex.org/W3130754787","https://openalex.org/W3144332889","https://openalex.org/W3163207600","https://openalex.org/W3176330035","https://openalex.org/W3180045188","https://openalex.org/W3184566187","https://openalex.org/W3193414609","https://openalex.org/W3194467570","https://openalex.org/W3197715477","https://openalex.org/W3211646616","https://openalex.org/W4224301858","https://openalex.org/W4283715304","https://openalex.org/W4292348104","https://openalex.org/W4297883960","https://openalex.org/W4312549298","https://openalex.org/W4319300062","https://openalex.org/W4365606129","https://openalex.org/W4367189325","https://openalex.org/W4378804791","https://openalex.org/W4382322597","https://openalex.org/W4386075981","https://openalex.org/W4386299129","https://openalex.org/W4388129777","https://openalex.org/W4388506784","https://openalex.org/W4389890877","https://openalex.org/W4390873795","https://openalex.org/W4390874575","https://openalex.org/W4391992377","https://openalex.org/W4394758452","https://openalex.org/W4400081502","https://openalex.org/W6739365718","https://openalex.org/W6791353385","https://openalex.org/W6839255657","https://openalex.org/W6851543690","https://openalex.org/W6851607685","https://openalex.org/W6851980744","https://openalex.org/W6851987645","https://openalex.org/W6853219587","https://openalex.org/W6854362512"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","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"],"abstract_inverted_index":{"Vision":[0],"Foundation":[1],"Models":[2],"(VFMs)":[3],"such":[4],"as":[5],"the":[6,45,59,81,89,118,125,143,158,177,184],"Segment":[7],"Anything":[8],"Model":[9],"(SAM)":[10],"allow":[11],"zero-shot":[12],"or":[13],"interactive":[14],"segmentation":[15],"of":[16,27,49,64,84,88,179],"visual":[17,28,61,82,93],"contents,":[18],"thus":[19],"they":[20],"are":[21,129],"quickly":[22],"applied":[23],"in":[24,34,71,95,108,146,192],"a":[25,86,113,136,165],"variety":[26],"scenes.":[29,97],"However,":[30],"their":[31],"direct":[32],"use":[33],"many":[35],"Remote":[36],"Sensing":[37],"(RS)":[38],"applications":[39],"is":[40,170,183],"often":[41],"unsatisfactory":[42],"due":[43],"to":[44,57,66,91,101,116,123,131,141,157,172,190],"special":[46],"imaging":[47],"properties":[48],"RS":[50,96,109,194],"images.":[51,195],"In":[52],"this":[53,182],"work,":[54],"we":[55,111,134],"aim":[56],"utilize":[58,124],"strong":[60],"recognition":[62],"capabilities":[63],"VFMs":[65,189],"improve":[67],"change":[68,120],"detection":[69],"(CD)":[70],"very":[72],"high-resolution":[73],"(VHR)":[74],"remote":[75],"sensing":[76],"images":[77],"(RSIs).":[78],"We":[79],"employ":[80],"encoder":[83],"FastSAM,":[85],"variant":[87],"SAM,":[90],"extract":[92],"representations":[94,127],"To":[98,176],"adapt":[99],"FastSAM":[100],"focus":[102],"on":[103],"some":[104],"specific":[105],"ground":[106],"objects":[107],"scenes,":[110],"propose":[112],"convolutional":[114],"adaptor":[115],"aggregate":[117],"task-oriented":[119],"information.":[121],"Moreover,":[122],"semantic":[126,138,144],"that":[128,169,187],"inherent":[130],"SAM":[132],"features,":[133],"introduce":[135],"task-agnostic":[137],"learning":[139,167],"branch":[140],"model":[142],"latent":[145],"bi-temporal":[147],"RSIs.":[148],"The":[149],"resulting":[150],"method,":[151],"SAM-CD,":[152],"obtains":[153],"superior":[154],"accuracy":[155],"compared":[156],"SOTA":[159],"fully-supervised":[160],"CD":[161,174,191],"methods":[162],"and":[163],"exhibits":[164],"sample-efficient":[166],"ability":[168],"comparable":[171],"semi-supervised":[173],"methods.":[175],"best":[178],"our":[180],"knowledge,":[181],"first":[185],"work":[186],"adapts":[188],"VHR":[193]},"counts_by_year":[{"year":2026,"cited_by_count":42},{"year":2025,"cited_by_count":92},{"year":2024,"cited_by_count":41}],"updated_date":"2026-08-16T07:02:28.622633","created_date":"2024-02-22T00:00:00"}