{"id":"https://openalex.org/W2978534540","doi":"https://doi.org/10.1109/lgrs.2019.2941242","title":"A Background-Purification-Based Framework for Anomaly Target Detection in Hyperspectral Imagery","display_name":"A Background-Purification-Based Framework for Anomaly Target Detection in Hyperspectral Imagery","publication_year":2019,"publication_date":"2019-10-04","ids":{"openalex":"https://openalex.org/W2978534540","doi":"https://doi.org/10.1109/lgrs.2019.2941242","mag":"2978534540"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2941242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2941242","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/A5100456153","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0001-8153-9451"},"institutions":[{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["College of Ocean and Space Information, China University of Petroleum, Qingdao, China","Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Ocean and Space Information, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I4210113896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101888641","display_name":"Yanguo Fan","orcid":"https://orcid.org/0000-0002-0551-9042"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]},{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanguo Fan","raw_affiliation_strings":["College of Ocean and Space Information, China University of Petroleum, Qingdao, China","Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Ocean and Space Information, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I4210113896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074514063","display_name":"Mingming Xu","orcid":"https://orcid.org/0000-0002-6758-9863"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]},{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Xu","raw_affiliation_strings":["College of Ocean and Space Information, China University of Petroleum, Qingdao, China","Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Ocean and Space Information, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I4210113896"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100456153"],"corresponding_institution_ids":["https://openalex.org/I4210113896","https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":2.6782,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9108328,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"17","issue":"7","first_page":"1238","last_page":"1242"},"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":0.9745000004768372,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9311000108718872,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/anomaly-detection","display_name":"Anomaly detection","score":0.8328850269317627},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8193765878677368},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6520566344261169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6458197832107544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5273065567016602},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5223228335380554},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5080804824829102},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49963808059692383},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4605485796928406},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45765718817710876},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.432937890291214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3358539640903473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22597360610961914},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11795088648796082}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8328850269317627},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8193765878677368},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6520566344261169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6458197832107544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5273065567016602},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5223228335380554},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5080804824829102},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49963808059692383},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4605485796928406},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45765718817710876},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.432937890291214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3358539640903473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22597360610961914},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11795088648796082},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2941242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2941242","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":[],"awards":[{"id":"https://openalex.org/G6167155440","display_name":null,"funder_award_id":"61701542","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G654347850","display_name":null,"funder_award_id":"17CX02002A","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7762682259","display_name":null,"funder_award_id":"ZR2017BF038","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1988177629","https://openalex.org/W2000361322","https://openalex.org/W2014690245","https://openalex.org/W2017014096","https://openalex.org/W2017761002","https://openalex.org/W2020210211","https://openalex.org/W2024288510","https://openalex.org/W2047870694","https://openalex.org/W2066931949","https://openalex.org/W2068187760","https://openalex.org/W2087263574","https://openalex.org/W2116230469","https://openalex.org/W2124463804","https://openalex.org/W2140219630","https://openalex.org/W2140340527","https://openalex.org/W2144158572","https://openalex.org/W2183325870","https://openalex.org/W2288752886","https://openalex.org/W2760763333","https://openalex.org/W2766387201","https://openalex.org/W2789345570","https://openalex.org/W2791861119","https://openalex.org/W2809328251","https://openalex.org/W2903882147","https://openalex.org/W2914429466","https://openalex.org/W4385529325"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2806741695","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160"],"abstract_inverted_index":{"Anomaly":[0],"target":[1],"detection":[2,17,33],"for":[3],"hyperspectral":[4],"imagery":[5],"(HSI)":[6],"is":[7,35,63],"one":[8],"of":[9,26,52,66,75,115],"the":[10,27,39,50,64,73,76,79,84,91,102,113,116],"most":[11,31],"important":[12],"techniques,":[13],"and":[14,37,55,90,154],"many":[15],"anomaly":[16,32,58,96,148],"algorithms":[18,34,104,129],"have":[19],"been":[20],"developed":[21],"in":[22,30,57],"recent":[23],"years.":[24],"One":[25],"key":[28],"points":[29],"estimating":[36],"suppressing":[38],"background":[40,53,68,108],"information.":[41],"This":[42],"letter":[43],"proposes":[44],"a":[45],"background-purification-based":[46],"(BPB)":[47],"framework":[48],"considering":[49],"role":[51],"estimation":[54,110],"suppression":[56],"detection.":[59],"The":[60,118],"main":[61],"idea":[62],"acquisition":[65],"accurate":[67,107],"pixel":[69],"set.":[70],"To":[71],"prove":[72],"validity":[74],"proposed":[77],"framework,":[78],"BPB":[80,85,92,103,128],"Reed-Xiaoli":[81,87],"detector":[82,88,97,149,152],"(BPB-RXD),":[83],"kernel":[86],"(BPB-KRXD),":[89],"orthogonal":[93],"subspace":[94],"projection":[95],"(BPB-OSPAD)":[98],"are":[99],"proposed.":[100],"Both":[101],"focus":[105],"on":[106,121],"information":[109],"to":[111],"improve":[112],"performance":[114],"detectors.":[117],"experiments":[119],"implemented":[120],"two":[122],"data":[123],"sets":[124],"demonstrate":[125],"that":[126],"both":[127],"perform":[130],"better":[131],"than":[132],"other":[133],"state-of-the-art":[134],"algorithms,":[135],"including":[136],"RXD,":[137],"KRXD,":[138],"OSP,":[139],"blocked":[140],"adaptive":[141],"computationally":[142],"efficient":[143],"outlier":[144],"nominators":[145],"(BACON),":[146],"probabilistic":[147],"(PAD),":[150],"collaborative-representation-based":[151],"(CRD),":[153],"CRD":[155],"combined":[156],"with":[157],"principal":[158],"component":[159],"analysis":[160],"(PCAroCRD).":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
