{"id":"https://openalex.org/W3205427328","doi":"https://doi.org/10.3390/rs13193954","title":"A Fast Hyperspectral Anomaly Detection Algorithm Based on Greedy Bilateral Smoothing and Extended Multi-Attribute Profile","display_name":"A Fast Hyperspectral Anomaly Detection Algorithm Based on Greedy Bilateral Smoothing and Extended Multi-Attribute Profile","publication_year":2021,"publication_date":"2021-10-02","ids":{"openalex":"https://openalex.org/W3205427328","doi":"https://doi.org/10.3390/rs13193954","mag":"3205427328"},"language":"en","primary_location":{"id":"doi:10.3390/rs13193954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193954","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3954/pdf?version=1634018463","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/2072-4292/13/19/3954/pdf?version=1634018463","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058873510","display_name":"Senhao Liu","orcid":null},"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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senhao Liu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"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"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603648","display_name":"Lifu Zhang","orcid":"https://orcid.org/0000-0002-3533-9966"},"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":true,"raw_author_name":"Lifu Zhang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"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/A5111539412","display_name":"Yi Cen","orcid":"https://orcid.org/0000-0002-1500-8350"},"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":"Yi Cen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"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/A5103019811","display_name":"Likun Chen","orcid":"https://orcid.org/0000-0002-7129-0792"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Likun Chen","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115601930","display_name":"Yibo Wang","orcid":"https://orcid.org/0000-0002-4659-636X"},"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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Wang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"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"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115603648"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.2521,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59724951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"19","first_page":"3954","last_page":"3954"},"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":0.9855999946594238,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9373999834060669,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8997625112533569},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8091906309127808},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7912904620170593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6754253506660461},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5708696842193604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4888019263744354},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4568110704421997},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4443114101886749},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41189125180244446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37714654207229614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18496757745742798}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8997625112533569},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8091906309127808},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7912904620170593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6754253506660461},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5708696842193604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4888019263744354},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4568110704421997},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4443114101886749},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41189125180244446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37714654207229614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18496757745742798},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13193954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193954","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3954/pdf?version=1634018463","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:2e5ae07c1f8d4443bfdbc1910dd5484a","is_oa":true,"landing_page_url":"https://doaj.org/article/2e5ae07c1f8d4443bfdbc1910dd5484a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 19, p 3954 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/19/3954/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13193954","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/rs13193954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193954","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3954/pdf?version=1634018463","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320336355","display_name":"Shanghai Institute of Technical Physics, Chinese Academy of Sciences","ror":"https://ror.org/02txedb84"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3205427328.pdf","grobid_xml":"https://content.openalex.org/works/W3205427328.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1970099214","https://openalex.org/W1972578813","https://openalex.org/W1988177629","https://openalex.org/W1990953362","https://openalex.org/W1994040806","https://openalex.org/W2004491663","https://openalex.org/W2010702969","https://openalex.org/W2017014096","https://openalex.org/W2040078680","https://openalex.org/W2047870694","https://openalex.org/W2067897118","https://openalex.org/W2073774279","https://openalex.org/W2083541351","https://openalex.org/W2087263574","https://openalex.org/W2115451191","https://openalex.org/W2124463804","https://openalex.org/W2127199143","https://openalex.org/W2131697388","https://openalex.org/W2140803156","https://openalex.org/W2142077116","https://openalex.org/W2142552707","https://openalex.org/W2147042314","https://openalex.org/W2158340226","https://openalex.org/W2163129097","https://openalex.org/W2288752886","https://openalex.org/W2295576075","https://openalex.org/W2497075055","https://openalex.org/W2590856740","https://openalex.org/W2740976805","https://openalex.org/W2789345570","https://openalex.org/W2802866486","https://openalex.org/W2898121906","https://openalex.org/W2948256530","https://openalex.org/W2969209006","https://openalex.org/W2972480129","https://openalex.org/W2978534540","https://openalex.org/W2987226824","https://openalex.org/W2987637330","https://openalex.org/W2989881034","https://openalex.org/W2998374016","https://openalex.org/W3008839601","https://openalex.org/W3030709861","https://openalex.org/W3034493263","https://openalex.org/W3197993596","https://openalex.org/W6680860885","https://openalex.org/W6756075833","https://openalex.org/W6766633520","https://openalex.org/W6768053277","https://openalex.org/W6770090866","https://openalex.org/W6772267610"],"related_works":["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","https://openalex.org/W3120251014"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,13,33,60,76,80,92,97,137],"difficulty":[3],"of":[4,15,63,94],"separating":[5],"background":[6],"materials":[7,10],"from":[8],"similar":[9],"associated":[11],"with":[12,120],"use":[14],"\u201csingle-spectral":[16],"information\u201d":[17],"for":[18],"hyperspectral":[19,24,65],"anomaly":[20,25],"detection,":[21],"a":[22,64],"fast":[23],"detection":[26,47,109,154],"algorithm":[27],"based":[28],"on":[29],"what":[30],"we":[31],"term":[32],"\u201cgreedy":[34,55],"bilateral":[35,56],"smoothing":[36],"and":[37,49,69,90,106,117,151,156],"extended":[38,81],"multi-attribute":[39,82],"profile\u201d":[40],"(GBSAED)":[41],"method":[42,53,113,139],"is":[43,84,140],"proposed":[44],"to":[45,58,86,102],"improve":[46],"precision":[48,155],"operation":[50],"efficiency.":[51,78,127,158],"This":[52,73,111],"utilizes":[54],"smoothing\u201d":[57],"decompose":[59],"low-rank":[61],"part":[62],"image":[66],"(HSI)":[67],"dataset":[68],"calculate":[70],"spectral":[71,116],"anomalies.":[72,95],"process":[74],"improves":[75,153],"operational":[77,126,157],"Then,":[79],"profile":[83],"used":[85],"extract":[87],"spatial":[88,118],"anomalies":[89],"restrict":[91],"shape":[93],"Finally,":[96],"two":[98],"components":[99],"are":[100],"combined":[101],"limit":[103],"false":[104],"alarms":[105],"obtain":[107],"appropriate":[108],"results.":[110],"new":[112],"considers":[114],"both":[115],"information":[119],"an":[121],"improved":[122],"structure":[123],"that":[124,136],"ensures":[125],"Using":[128],"five":[129],"real":[130],"HSI":[131],"datasets,":[132],"this":[133],"study":[134],"demonstrates":[135],"GBSAED":[138],"more":[141],"robust":[142],"than":[143],"eight":[144],"representative":[145],"algorithms":[146],"under":[147],"diverse":[148],"application":[149],"scenarios":[150],"greatly":[152]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-28T06:11:35.319607","created_date":"2025-10-10T00:00:00"}
