{"id":"https://openalex.org/W4214816856","doi":"https://doi.org/10.1109/lgrs.2022.3156057","title":"A Hyperspectral Anomaly Detection Algorithm Using Sub-Features Grouping and Binary Accumulation","display_name":"A Hyperspectral Anomaly Detection Algorithm Using Sub-Features Grouping and Binary Accumulation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4214816856","doi":"https://doi.org/10.1109/lgrs.2022.3156057"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3156057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3156057","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/A5064042168","display_name":"Shurong Yuan","orcid":"https://orcid.org/0000-0002-3887-4390"},"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":"Shurong Yuan","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3887-4390","affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058129327","display_name":"Lei Shi","orcid":"https://orcid.org/0000-0003-3199-2711"},"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":"Lei Shi","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3199-2711","affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110219165","display_name":"Bo Yao","orcid":"https://orcid.org/0000-0002-4595-4559"},"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":"Bo Yao","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-4595-4559","affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075604684","display_name":"Fangyan Li","orcid":"https://orcid.org/0000-0003-1156-9668"},"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":"Fangyan Li","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-1156-9668","affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101916539","display_name":"Yuefan Du","orcid":"https://orcid.org/0000-0002-1863-0225"},"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":"Yuefan Du","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.0666,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77114563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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":0.9588000178337097,"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":0.9287999868392944,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9000976085662842},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8173308372497559},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7088176012039185},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6474959254264832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5557910203933716},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.48136621713638306},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47047287225723267},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.44571590423583984},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41185060143470764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3380414843559265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31586766242980957}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9000976085662842},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8173308372497559},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7088176012039185},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6474959254264832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5557910203933716},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.48136621713638306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47047287225723267},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.44571590423583984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41185060143470764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3380414843559265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31586766242980957},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3156057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3156057","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/G1385581869","display_name":null,"funder_award_id":"62001340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4834171501","display_name":null,"funder_award_id":"62101406","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4974237200","display_name":"\u9ad8\u8d85\u58f0\u901f\u98de\u884c\u5668\u590d\u6742\u7535\u78c1\u4fe1\u9053\u73af\u5883\u4e0b\u6d4b\u63a7\u901a\u4fe1\u9002\u5e94\u6027\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7833057335","display_name":null,"funder_award_id":"JB211311","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"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}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W141379055","https://openalex.org/W199035648","https://openalex.org/W2037034832","https://openalex.org/W2043441451","https://openalex.org/W2047870694","https://openalex.org/W2124463804","https://openalex.org/W2149463972","https://openalex.org/W2152648638","https://openalex.org/W2288752886","https://openalex.org/W2295576075","https://openalex.org/W2475283175","https://openalex.org/W2519307493","https://openalex.org/W2617050030","https://openalex.org/W2740976805","https://openalex.org/W2900199428","https://openalex.org/W2998940023","https://openalex.org/W3034493263","https://openalex.org/W3153686193","https://openalex.org/W3195858154","https://openalex.org/W3211935754","https://openalex.org/W3215037706","https://openalex.org/W3217526930"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W38661524"],"abstract_inverted_index":{"Most":[0],"of":[1,20,28,67,70,107,114],"the":[2,18,26,78,83,95,105,124],"existing":[3,125],"anomaly":[4,58],"detection":[5,15,30,63,79,96,112,119],"(AD)":[6],"approaches":[7],"for":[8,52],"hyperspectral":[9,129],"images":[10],"(HSIs)":[11],"usually":[12],"achieve":[13],"high":[14,21],"accuracy":[16],"at":[17],"cost":[19],"computational":[22,138],"complexity.":[23],"To":[24],"meet":[25],"needs":[27],"actual":[29],"scenarios":[31],"(efficiency,":[32],"robustness,":[33],"and":[34,41,48,74,82,136],"accuracy),":[35],"this":[36],"letter":[37],"introduces":[38],"a":[39,56],"fast":[40],"robust":[42],"AD":[43,108],"algorithm":[44,109,120],"via":[45],"subfeatures":[46,69],"grouping":[47],"binary":[49,99],"accumulation":[50,100],"(SFBA)":[51],"HSIs.":[53],"We":[54],"propose":[55],"spatial\u2013spectral":[57],"scoring":[59,85],"strategy":[60,86],"to":[61,93,103],"improve":[62,94,104],"accuracy.":[64],"A":[65],"number":[66],"spectral":[68],"HSI":[71],"are":[72],"selected":[73],"divided":[75],"into$N$groups":[76],"as":[77],"input":[80],"information":[81],"proposed":[84,118],"is":[87,101],"carried":[88],"out":[89],"for$N$group":[90],"data,":[91],"respectively,":[92],"efficiency.":[97],"Then":[98],"introduced":[102],"robustness":[106,135],"by":[110],"accumulating":[111],"results":[113],"each":[115],"group.":[116],"Our":[117],"was":[121],"compared":[122],"with":[123],"algorithms":[126],"on":[127],"real":[128],"datasets,":[130],"thereby":[131],"verifying":[132],"its":[133],"strong":[134],"low":[137],"complexity":[139],"simultaneously.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
