{"id":"https://openalex.org/W4313590927","doi":"https://doi.org/10.1109/jstars.2022.3232762","title":"Anomaly Detection of Hyperspectral Images Based on Transformer With Spatial\u2013Spectral Dual-Window Mask","display_name":"Anomaly Detection of Hyperspectral Images Based on Transformer With Spatial\u2013Spectral Dual-Window Mask","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313590927","doi":"https://doi.org/10.1109/jstars.2022.3232762"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3232762","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3232762","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10005599.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10005599.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010255725","display_name":"Song Xiao","orcid":"https://orcid.org/0000-0001-8988-4233"},"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"]},{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Xiao","raw_affiliation_strings":["Department of Electronic and Communication Engineering, Beijing Electronic Science and Technology Institute, Beijing, China","School of Telecommunications Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8988-4233","affiliations":[{"raw_affiliation_string":"Department of Electronic and Communication Engineering, Beijing Electronic Science and Technology Institute, Beijing, China","institution_ids":["https://openalex.org/I202334528"]},{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014025793","display_name":"Tian Zhang","orcid":"https://orcid.org/0000-0003-3099-6737"},"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":"Tian Zhang","raw_affiliation_strings":["State Key Laboratory of Integrated Service Network, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3099-6737","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Network, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045527156","display_name":"Zhangchun Xu","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":"Zhangchun Xu","raw_affiliation_strings":["State Key Laboratory of Integrated Service Network, Xidian University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Network, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044736869","display_name":"Jiahui Qu","orcid":"https://orcid.org/0000-0002-3925-2884"},"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":"Jiahui Qu","raw_affiliation_strings":["State Key Laboratory of Integrated Service Network, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3925-2884","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Network, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033663386","display_name":"Shaoxiong Hou","orcid":"https://orcid.org/0000-0002-2802-2135"},"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":"Shaoxiong Hou","raw_affiliation_strings":["State Key Laboratory of Integrated Service Network, Xidian University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Network, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045803591","display_name":"Wenqian Dong","orcid":"https://orcid.org/0000-0002-0692-9676"},"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":"Wenqian Dong","raw_affiliation_strings":["State Key Laboratory of Integrated Service Network, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0692-9676","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Network, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":5.1961,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.96196488,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"16","issue":null,"first_page":"1414","last_page":"1426"},"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":0.9922999739646912,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.934499979019165,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8785051107406616},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8092892169952393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6727620363235474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6316956877708435},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5691636204719543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5585809350013733},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5365794897079468},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.49513640999794006},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4495748281478882},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10062143206596375}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8785051107406616},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8092892169952393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6727620363235474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6316956877708435},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5691636204719543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5585809350013733},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5365794897079468},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.49513640999794006},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4495748281478882},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10062143206596375},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2022.3232762","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3232762","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10005599.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c29e08f98d75467bb5bd56b69f69b9dc","is_oa":true,"landing_page_url":"https://doaj.org/article/c29e08f98d75467bb5bd56b69f69b9dc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1414-1426 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3232762","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3232762","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10005599.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1208413434","display_name":null,"funder_award_id":"2021JQ-194","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G1396621155","display_name":null,"funder_award_id":"XJS210104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1907377792","display_name":null,"funder_award_id":"2021M702548","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3220876813","display_name":null,"funder_award_id":"2021M702546","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6408210167","display_name":null,"funder_award_id":"2020A1515110856","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6893158397","display_name":null,"funder_award_id":"XJS210108","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7040667723","display_name":null,"funder_award_id":"2021JQ-197","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G8282386850","display_name":null,"funder_award_id":"62101414","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313590927.pdf","grobid_xml":"https://content.openalex.org/works/W4313590927.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W1522301498","https://openalex.org/W1970099214","https://openalex.org/W2001045763","https://openalex.org/W2004491663","https://openalex.org/W2011147915","https://openalex.org/W2040078680","https://openalex.org/W2047870694","https://openalex.org/W2087263574","https://openalex.org/W2163129097","https://openalex.org/W2288752886","https://openalex.org/W2740976805","https://openalex.org/W2772028350","https://openalex.org/W2789643644","https://openalex.org/W2803137490","https://openalex.org/W2887985146","https://openalex.org/W2900718393","https://openalex.org/W2901555355","https://openalex.org/W2963495494","https://openalex.org/W2969635036","https://openalex.org/W2972614519","https://openalex.org/W2983563481","https://openalex.org/W2998493545","https://openalex.org/W3007076381","https://openalex.org/W3093600558","https://openalex.org/W3099362990","https://openalex.org/W3129083271","https://openalex.org/W3137199127","https://openalex.org/W3152468234","https://openalex.org/W3163345093","https://openalex.org/W3168690312","https://openalex.org/W3196594491","https://openalex.org/W3216217554","https://openalex.org/W4285124347","https://openalex.org/W4296209273","https://openalex.org/W4312289230","https://openalex.org/W4312999834","https://openalex.org/W6631190155","https://openalex.org/W6739901393","https://openalex.org/W6780248173","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2076134148","https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,18,32,44],"has":[2],"become":[3],"one":[4],"of":[5,25,69,81],"the":[6,23,31,67,74,82,125,142],"crucial":[7],"tasks":[8],"in":[9,96],"hyperspectral":[10,42,132],"images":[11],"processing.":[12],"However,":[13],"most":[14],"deep":[15],"learning-based":[16],"anomaly":[17,43,70,101,112,133],"methods":[19],"often":[20],"suffer":[21],"from":[22,60,85],"incapability":[24],"utilizing":[26],"spatial\u2013spectral":[27,48],"information,":[28],"which":[29,55],"decreases":[30],"accuracy.":[33],"To":[34],"address":[35],"this":[36,123],"problem,":[37],"we":[38],"propose":[39],"a":[40,47,86,97],"novel":[41],"method":[45],"with":[46],"dual-window":[49,75,98],"mask":[50,76],"transformer,":[51],"termed":[52],"as":[53],"S2DWMTrans,":[54],"can":[56],"fully":[57],"extract":[58],"features":[59],"global":[61,87],"and":[62,65,92,137],"local":[63],"perspectives,":[64],"suppress":[66,100,111],"reconstruction":[68,113],"targets":[71],"adaptively.":[72],"Specifically,":[73],"transformer":[77,130],"aggregates":[78],"background":[79],"information":[80],"entire":[83],"image":[84],"perspective":[88],"to":[89,99,109,120,128,131],"neutralize":[90],"anomalies,":[91],"uses":[93],"neighboring":[94],"pixels":[95],"reconstruction.":[102],"An":[103],"adaptive-weighted":[104],"loss":[105],"function":[106],"is":[107,124],"designed":[108],"further":[110],"adaptively":[114],"during":[115],"network":[116],"training":[117],"process.":[118],"According":[119],"our":[121],"investigation,":[122],"first":[126],"work":[127],"apply":[129],"detection.":[134],"Comparative":[135],"experiments":[136],"ablation":[138],"studies":[139],"demonstrate":[140],"that":[141],"proposed":[143],"S2DWMTrans":[144],"achieves":[145],"competitive":[146],"performance.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2023-01-06T00:00:00"}
