{"id":"https://openalex.org/W4394938943","doi":"https://doi.org/10.1109/tgrs.2024.3388426","title":"CL-CaGAN: Capsule Differential Adversarial Continual Learning for Cross-Domain Hyperspectral Anomaly Detection","display_name":"CL-CaGAN: Capsule Differential Adversarial Continual Learning for Cross-Domain Hyperspectral Anomaly Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394938943","doi":"https://doi.org/10.1109/tgrs.2024.3388426"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3388426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3388426","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.11793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069371816","display_name":"Jianing Wang","orcid":"https://orcid.org/0000-0001-6704-1198"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianing Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018533405","display_name":"Siying Guo","orcid":"https://orcid.org/0000-0002-4498-246X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siying Guo","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112133226","display_name":"Hua Zheng","orcid":"https://orcid.org/0009-0003-5145-3253"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Hua","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047199336","display_name":"Runhu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runhu Huang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101638419","display_name":"Jinyu Hu","orcid":"https://orcid.org/0009-0001-3236-5069"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyu Hu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069371816"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":6.7158,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.97051188,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9879000186920166,"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":0.9879000186920166,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9376999735832214,"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/T12676","display_name":"Machine Learning and ELM","score":0.9101999998092651,"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":0.8706774711608887},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6055181622505188},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5046323537826538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.481388121843338},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4321345388889313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40787917375564575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40212270617485046},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3376690149307251},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2815971374511719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15838122367858887}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8706774711608887},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6055181622505188},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5046323537826538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.481388121843338},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4321345388889313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40787917375564575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40212270617485046},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3376690149307251},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2815971374511719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15838122367858887},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2024.3388426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3388426","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:arXiv.org:2505.11793","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.11793","pdf_url":"https://arxiv.org/pdf/2505.11793","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.11793","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.11793","pdf_url":"https://arxiv.org/pdf/2505.11793","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5545668588","display_name":null,"funder_award_id":"61801353","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W2004491663","https://openalex.org/W2010797000","https://openalex.org/W2033888020","https://openalex.org/W2047870694","https://openalex.org/W2069231830","https://openalex.org/W2087263574","https://openalex.org/W2104960492","https://openalex.org/W2124463804","https://openalex.org/W2127495569","https://openalex.org/W2159807629","https://openalex.org/W2210036394","https://openalex.org/W2288752886","https://openalex.org/W2295576075","https://openalex.org/W2473930607","https://openalex.org/W2740976805","https://openalex.org/W2754507318","https://openalex.org/W2771964490","https://openalex.org/W2786446225","https://openalex.org/W2788388592","https://openalex.org/W2807662216","https://openalex.org/W2900199428","https://openalex.org/W2948734064","https://openalex.org/W2963143796","https://openalex.org/W2963390791","https://openalex.org/W2964067969","https://openalex.org/W2969635036","https://openalex.org/W3007076381","https://openalex.org/W3013325675","https://openalex.org/W3015560401","https://openalex.org/W3030364939","https://openalex.org/W3038308280","https://openalex.org/W3042747521","https://openalex.org/W3087883793","https://openalex.org/W3096831136","https://openalex.org/W3098511564","https://openalex.org/W3107769984","https://openalex.org/W3123961948","https://openalex.org/W3126418353","https://openalex.org/W3133704440","https://openalex.org/W3137199127","https://openalex.org/W3152468234","https://openalex.org/W3158401270","https://openalex.org/W3168997536","https://openalex.org/W3175405112","https://openalex.org/W3177111766","https://openalex.org/W3186256209","https://openalex.org/W3190752170","https://openalex.org/W3195044646","https://openalex.org/W3206364701","https://openalex.org/W3207817117","https://openalex.org/W3210780861","https://openalex.org/W3214193733","https://openalex.org/W4211023436","https://openalex.org/W4212800897","https://openalex.org/W4220831207","https://openalex.org/W4220910234","https://openalex.org/W4226075372","https://openalex.org/W4226256607","https://openalex.org/W4282929851","https://openalex.org/W4296210064","https://openalex.org/W4312572145","https://openalex.org/W4312875565","https://openalex.org/W4317433712","https://openalex.org/W4318707911","https://openalex.org/W4321488108","https://openalex.org/W4322576316","https://openalex.org/W4322576350","https://openalex.org/W4388838059","https://openalex.org/W4390347709","https://openalex.org/W6623043969","https://openalex.org/W6629013094","https://openalex.org/W6677258307","https://openalex.org/W6678914141","https://openalex.org/W6743446608","https://openalex.org/W6746643698","https://openalex.org/W6755109808","https://openalex.org/W6755950020","https://openalex.org/W6761469101","https://openalex.org/W6780507278"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W2502115930","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,61,91,153,229],"(AD)":[2],"has":[3],"attracted":[4],"remarkable":[5],"attention":[6],"in":[7,51,88,142],"hyperspectral":[8,89],"image":[9],"(HSI)":[10],"processing":[11],"fields,":[12],"most":[13],"existing":[14,48],"deep":[15],"learning":[16,69,78,101,149,167,233],"(DL)":[17],"based":[18],"algorithms":[19],"indicate":[20,44,222],"dramatic":[21],"potential":[22],"for":[23,47,80,110,135,185,235],"detecting":[24],"anomaly":[25,90],"samples":[26],"through":[27],"specific":[28],"training":[29,183,189],"process":[30,190],"under":[31,240],"current":[32,156],"scenario.":[33],"However,":[34],"the":[35,40,60,76,82,107,112,119,137,147,161,171,178,182,188,199,207,220,224,237],"limited":[36],"prior":[37,115],"information":[38],"and":[39,127,139,231],"catastrophic":[41,120,238],"forgetting":[42,121,239],"problem":[43],"crucial":[45],"challenges":[46],"DL":[49],"structure":[50,87,98,164],"open":[52],"scenarios":[53],"cross-domain":[54,241],"detection.":[55],"In":[56,169],"order":[57],"to":[58,74,105,155,176],"improve":[59],"performance,":[62],"a":[63,95,128],"novel":[64],"capsule":[65,97],"differential":[66],"adversarial":[67,100],"continual":[68,143,166],"framework":[70],"(CL-CaGAN)":[71],"is":[72,103,174],"proposed":[73,211,225],"elevate":[75],"cross-scenario":[77],"performance":[79,180,230],"facilitating":[81],"real":[83,218],"application":[84],"of":[85,114,181,202,209],"DL-based":[86],"(HAD)":[92],"task.":[93],"First,":[94],"modified":[96],"with":[99,165,191],"network":[102],"constructed":[104],"estimate":[106],"background":[108,203],"distribution":[109],"surmounting":[111],"deficiency":[113],"information.":[116],"To":[117,205],"mitigate":[118],"phenomenon,":[122],"clustering-based":[123],"sample":[124],"replay":[125],"strategy":[126],"designed":[129,163],"extra":[130],"self-distillation":[131],"regularization":[132],"are":[133,158],"integrated":[134],"merging":[136],"history":[138],"future":[140],"knowledge":[141],"AD":[144],"task,":[145],"while":[146],"discriminative":[148],"ability":[150,201],"from":[151],"previous":[152],"scenario":[154,157],"retained":[159],"by":[160],"elaborately":[162],"strategy.":[168],"addition,":[170],"differentiable":[172],"enhancement":[173],"enforced":[175],"augment":[177],"generation":[179],"data":[184],"further":[186,196],"stabilizing":[187],"better":[192],"convergence,":[193],"this":[194],"procedure":[195],"efficiently":[197],"consolidates":[198],"reconstruction":[200],"samples.":[204],"verify":[206],"effectiveness":[208],"our":[210],"CL-CaGAN,":[212],"we":[213],"conduct":[214],"experiments":[215],"on":[216],"several":[217],"HSIs,":[219],"results":[221],"that":[223],"CL-CaGAN":[226],"demonstrates":[227],"higher":[228],"continuous":[232],"capacity":[234],"mitigating":[236],"scenarios.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2024-04-19T00:00:00"}
