{"id":"https://openalex.org/W3208061707","doi":"https://doi.org/10.3390/rs13214247","title":"An Efficient and Robust Framework for Hyperspectral Anomaly Detection","display_name":"An Efficient and Robust Framework for Hyperspectral Anomaly Detection","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W3208061707","doi":"https://doi.org/10.3390/rs13214247","mag":"3208061707"},"language":"en","primary_location":{"id":"doi:10.3390/rs13214247","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214247","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4247/pdf?version=1635231294","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/21/4247/pdf?version=1635231294","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083998595","display_name":"Linbo Tang","orcid":"https://orcid.org/0000-0001-6341-4268"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linbo Tang","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681000","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0002-2049-2108"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0002-2049-2108","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049895843","display_name":"Wenzheng Wang","orcid":"https://orcid.org/0000-0002-0278-6751"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenzheng Wang","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China"],"raw_orcid":"https://orcid.org/0000-0002-0278-6751","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100985496","display_name":"Baojun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojun Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009088280","display_name":"Yu Pan","orcid":"https://orcid.org/0000-0003-4353-7433"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Pan","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060842414","display_name":"Yibing Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibing Tian","raw_affiliation_strings":["Baidu Campus, No. 10 Shangdi 10th Street, Haidian District, Beijing 100193, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Campus, No. 10 Shangdi 10th Street, Haidian District, Beijing 100193, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5049895843"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I20231570"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.7586,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75728616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"13","issue":"21","first_page":"4247","last_page":"4247"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9797000288963318,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9663000106811523,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9717600345611572},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7293834686279297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7236953973770142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6214825510978699},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6189513802528381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5979623794555664},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.580676257610321},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.53360915184021},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46551182866096497},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.45746830105781555},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44177648425102234},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2246030569076538},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22408810257911682}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9717600345611572},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7293834686279297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7236953973770142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6214825510978699},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6189513802528381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5979623794555664},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.580676257610321},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.53360915184021},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46551182866096497},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.45746830105781555},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44177648425102234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2246030569076538},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22408810257911682}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13214247","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214247","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4247/pdf?version=1635231294","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0cb8843729ac48469c44da49039502af","is_oa":true,"landing_page_url":"https://doaj.org/article/0cb8843729ac48469c44da49039502af","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":"Remote Sensing, Vol 13, Iss 21, p 4247 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/21/4247/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13214247","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13214247","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214247","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4247/pdf?version=1635231294","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G193207671","display_name":null,"funder_award_id":"91738302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2746600709","display_name":null,"funder_award_id":"31727901","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3208061707.pdf","grobid_xml":"https://content.openalex.org/works/W3208061707.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2002222589","https://openalex.org/W2033888020","https://openalex.org/W2042442393","https://openalex.org/W2047870694","https://openalex.org/W2095975892","https://openalex.org/W2115927538","https://openalex.org/W2124463804","https://openalex.org/W2125188192","https://openalex.org/W2133665775","https://openalex.org/W2142192675","https://openalex.org/W2142552707","https://openalex.org/W2239725643","https://openalex.org/W2288752886","https://openalex.org/W2295576075","https://openalex.org/W2603834682","https://openalex.org/W2735361135","https://openalex.org/W2754356769","https://openalex.org/W2763820948","https://openalex.org/W2766611032","https://openalex.org/W2767772398","https://openalex.org/W2782930397","https://openalex.org/W2801018674","https://openalex.org/W2899327139","https://openalex.org/W2900199428","https://openalex.org/W2952956606","https://openalex.org/W2955133371","https://openalex.org/W2972480129","https://openalex.org/W2973851347","https://openalex.org/W2975506318","https://openalex.org/W2995818283","https://openalex.org/W3029601471","https://openalex.org/W3029912995","https://openalex.org/W3034493263","https://openalex.org/W3103615857","https://openalex.org/W3112261204","https://openalex.org/W3153686193"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W4387893611","https://openalex.org/W2067407580","https://openalex.org/W2038514069","https://openalex.org/W4389669152","https://openalex.org/W1967233468","https://openalex.org/W2292979300","https://openalex.org/W2009181529"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"contain":[2],"distinguishing":[3],"spectral":[4,71],"information":[5],"and":[6,36,54,74,93,113,128,153],"show":[7],"great":[8],"potential":[9,96],"in":[10],"the":[11,23,28,77,91,95,108,116,123,134,138,151,156],"anomaly":[12],"detection":[13,40,143,147],"(AD)":[14],"task":[15],"which":[16,149],"aims":[17],"to":[18,43,75,89,105],"extract":[19],"discrepant":[20],"targets":[21],"from":[22,38],"background.":[24],"However,":[25],"most":[26],"of":[27,110,155],"popular":[29],"hyperspectral":[30,59,125],"AD":[31,56],"techniques":[32],"are":[33],"time":[34],"consuming":[35],"suffer":[37],"poor":[39],"performance":[41],"due":[42],"noise":[44],"disturbance.":[45],"To":[46],"address":[47],"these":[48],"issues,":[49],"we":[50],"propose":[51],"an":[52],"efficient":[53],"robust":[55],"method":[57,140],"for":[58,70],"images.":[60],"In":[61],"our":[62],"framework,":[63],"principal":[64],"component":[65],"analysis":[66],"(PCA)":[67],"is":[68,87,103],"adopted":[69],"dimensionality":[72],"reduction":[73],"enhance":[76],"anti-noise":[78],"ability.":[79],"An":[80],"improved":[81],"guided":[82],"filter":[83],"with":[84,133,145],"edge":[85],"weight":[86],"constructed":[88],"purify":[90],"background":[92],"highlight":[94],"anomalies.":[97],"Moreover,":[98],"a":[99],"diagonal":[100],"matrix":[101],"operation":[102],"designed":[104],"quickly":[106],"accumulate":[107],"energy":[109],"each":[111],"pixel":[112],"efficiently":[114],"locate":[115],"abnormal":[117],"targets.":[118],"Extensive":[119],"experiments":[120],"conducted":[121],"on":[122],"real-world":[124],"datasets":[126],"qualitatively":[127],"quantitatively":[129],"demonstrate":[130],"that,":[131],"compared":[132],"existing":[135],"state-of-the-art":[136],"approaches,":[137],"proposed":[139,157],"achieves":[141],"higher":[142],"accuracy":[144],"faster":[146],"speed":[148],"verifies":[150],"superiority":[152],"effectiveness":[154],"method.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
