{"id":"https://openalex.org/W4388280152","doi":"https://doi.org/10.1109/icbase59196.2023.10303063","title":"A Restricted Embedding Transfer Model for Hyperspectral Anomaly Detection","display_name":"A Restricted Embedding Transfer Model for Hyperspectral Anomaly Detection","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4388280152","doi":"https://doi.org/10.1109/icbase59196.2023.10303063"},"language":"en","primary_location":{"id":"doi:10.1109/icbase59196.2023.10303063","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icbase59196.2023.10303063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ir.opt.ac.cn/handle/181661/97046","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104192638","display_name":"Chenliang Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenliang Shi","raw_affiliation_strings":["Shaanxi Normal University,Chinese Academy of Sciences, Xi'an Institute of Optics & Precision Mechanics,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Normal University,Chinese Academy of Sciences, Xi'an Institute of Optics & Precision Mechanics,Xi'an,China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I88830068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101807535","display_name":"Shi Qiu","orcid":"https://orcid.org/0000-0001-8127-7594"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Qiu","raw_affiliation_strings":["Xi'an Institute of Optics & Precision Mechanics,Chinese Academy of Sciences,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Xi'an Institute of Optics & Precision Mechanics,Chinese Academy of Sciences,Xi'an,China","institution_ids":["https://openalex.org/I4210144662"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104192638"],"corresponding_institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I88830068"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21364272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"340","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9818999767303467,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9733999967575073,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7853533029556274},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.70977783203125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799190640449524},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6278121471405029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.625374436378479},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6238375306129456},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5742637515068054},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5090991854667664},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4799378514289856},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4775746166706085},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4264650344848633},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4174157381057739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37600404024124146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35081547498703003},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3038927912712097},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.24357092380523682}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7853533029556274},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.70977783203125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799190640449524},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6278121471405029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.625374436378479},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6238375306129456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5742637515068054},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5090991854667664},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4799378514289856},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4775746166706085},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4264650344848633},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4174157381057739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37600404024124146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35081547498703003},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3038927912712097},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.24357092380523682},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icbase59196.2023.10303063","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icbase59196.2023.10303063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.opt.ac.cn:181661/97046","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/97046","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u4f1a\u8bae\u8bba\u6587"}],"best_oa_location":{"id":"pmh:oai:ir.opt.ac.cn:181661/97046","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/97046","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u4f1a\u8bae\u8bba\u6587"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W625476304","https://openalex.org/W1484672383","https://openalex.org/W2024288510","https://openalex.org/W2047870694","https://openalex.org/W2057513844","https://openalex.org/W2067782748","https://openalex.org/W2139427956","https://openalex.org/W2155653793","https://openalex.org/W2316226477","https://openalex.org/W2768241383","https://openalex.org/W2804935296","https://openalex.org/W2809705434","https://openalex.org/W2914570111","https://openalex.org/W2963546708","https://openalex.org/W2975506318","https://openalex.org/W3007076381","https://openalex.org/W3034493263","https://openalex.org/W3046027728","https://openalex.org/W3100364246","https://openalex.org/W3122774149","https://openalex.org/W3126760591","https://openalex.org/W3156089232","https://openalex.org/W4205388843","https://openalex.org/W4292672241","https://openalex.org/W4303856695","https://openalex.org/W4312710245","https://openalex.org/W4312820758","https://openalex.org/W4318707911","https://openalex.org/W4319866034","https://openalex.org/W6629013094","https://openalex.org/W6752554887"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","https://openalex.org/W4309969736","https://openalex.org/W4394785709","https://openalex.org/W2953501176","https://openalex.org/W2965095304","https://openalex.org/W2470043383","https://openalex.org/W3034474024","https://openalex.org/W2770818364"],"abstract_inverted_index":{"The":[0,114,168],"purpose":[1],"of":[2,12,61,131,138,154],"hyperspectral":[3,83,166],"image":[4,84],"anomaly":[5,32,85,90],"detection":[6,33,91,177],"is":[7,142,158,186],"to":[8,70,127,144],"overcome":[9],"the":[10,59,89,106,129,132,139,146,149,152,155,172,180,190],"problem":[11,60,92,97],"inconsistent":[13],"background":[14,17],"distribution,":[15],"suppress":[16],"information":[18],"as":[19,21,39,125],"much":[20],"possible,":[22],"and":[23,46,135,179],"highlight":[24],"anomalous":[25],"target":[26],"information.":[27],"Many":[28],"existing":[29,162],"deep":[30],"learning":[31],"methods":[34,163],"use":[35],"generative":[36,43],"algorithms,":[37],"such":[38],"those":[40,47],"based":[41,48],"on":[42,49,164],"adversarial":[44],"networks":[45],"automatic":[50],"encoders,":[51],"but":[52],"these":[53,72],"algorithms":[54],"are":[55,123],"inevitably":[56],"accompanied":[57],"by":[58],"low":[62],"reconstruction":[63,109],"accuracy":[64],"or":[65,110],"poor":[66],"calibration.":[67],"In":[68,148],"order":[69],"solve":[71],"problems,":[73],"this":[74],"paper":[75],"proposes":[76],"a":[77,94],"restricted":[78],"embedding":[79,120],"transfer":[80,101],"model":[81],"for":[82,108],"detection,":[86],"which":[87,185],"transforms":[88],"into":[93],"feature":[95],"regression":[96],"through":[98],"partial":[99],"knowledge":[100],"learning.":[102],"Thus":[103],"it":[104],"avoiding":[105],"need":[107],"probability":[111],"distribution":[112],"evaluation.":[113],"teacher":[115],"network":[116],"adaptively":[117],"generates":[118],"descriptive":[119],"vectors":[121],"that":[122,171],"used":[124],"pseudo-labels":[126],"assist":[128],"training":[130],"student":[133],"network,":[134],"only":[136],"part":[137],"normal":[140],"sample":[141],"needed":[143],"complete":[145],"training.":[147],"experimental":[150],"part,":[151],"performance":[153],"proposed":[156,173],"method":[157,174],"compared":[159],"with":[160],"seven":[161],"twelve":[165],"datasets.":[167],"results":[169],"show":[170],"has":[175],"better":[176],"effect,":[178],"AUC":[181],"index":[182],"reaches":[183],"0.9789,":[184],"0.0109":[187],"higher":[188],"than":[189],"second":[191],"place.":[192]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}