{"id":"https://openalex.org/W4386175343","doi":"https://doi.org/10.1109/tnnls.2023.3303273","title":"Graph Evolution-Based Vertex Extraction for Hyperspectral Anomaly Detection","display_name":"Graph Evolution-Based Vertex Extraction for Hyperspectral Anomaly Detection","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4386175343","doi":"https://doi.org/10.1109/tnnls.2023.3303273","pmid":"https://pubmed.ncbi.nlm.nih.gov/37624719"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3303273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3303273","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5059574479","display_name":"Xianchang Yang","orcid":"https://orcid.org/0000-0002-1486-0496"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianchang Yang","raw_affiliation_strings":["School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1486-0496","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037075182","display_name":"Bing Tu","orcid":"https://orcid.org/0000-0001-5802-9496"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Tu","raw_affiliation_strings":["Institute of Optics and Electronics, the Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, and the Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5802-9496","affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, the Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, and the Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I4210128284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102810280","display_name":"Qianming Li","orcid":"https://orcid.org/0000-0001-9293-9629"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianming Li","raw_affiliation_strings":["School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0000-0001-9293-9629","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1613-9448","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Department of Technology of Computers and Communications, Escuela Politecnica, Hyperspectral Computing Laboratory, University of Extremadura, C&#x00E1;ceres, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9613-1659","affiliations":[{"raw_affiliation_string":"Department of Technology of Computers and Communications, Escuela Politecnica, Hyperspectral Computing Laboratory, University of Extremadura, C&#x00E1;ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059574479"],"corresponding_institution_ids":["https://openalex.org/I100286613"],"apc_list":null,"apc_paid":null,"fwci":5.8706,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9667972,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"35","issue":"12","first_page":"17372","last_page":"17386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9097999930381775,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7894881963729858},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6462382674217224},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6043078899383545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5496217012405396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5420958995819092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5109202265739441},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4891360104084015},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43880632519721985},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3267626166343689},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32341015338897705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3215469717979431},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15152320265769958},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0837949812412262}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7894881963729858},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6462382674217224},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6043078899383545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5496217012405396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5420958995819092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5109202265739441},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4891360104084015},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43880632519721985},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3267626166343689},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32341015338897705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3215469717979431},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15152320265769958},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0837949812412262}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3303273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3303273","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37624719","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37624719","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6100000143051147,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1245566906","display_name":null,"funder_award_id":"61977022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3788842111","display_name":null,"funder_award_id":"2021J40226","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G7739554658","display_name":null,"funder_award_id":"62271200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8939907470","display_name":null,"funder_award_id":"2023r091","funder_id":"https://openalex.org/F4320335990","funder_display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320335990","display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1515707356","https://openalex.org/W1560724230","https://openalex.org/W1967275758","https://openalex.org/W1981536098","https://openalex.org/W1991190032","https://openalex.org/W2000361322","https://openalex.org/W2001338493","https://openalex.org/W2004491663","https://openalex.org/W2019287283","https://openalex.org/W2023258616","https://openalex.org/W2037034832","https://openalex.org/W2040078680","https://openalex.org/W2047870694","https://openalex.org/W2067782748","https://openalex.org/W2077347596","https://openalex.org/W2080263564","https://openalex.org/W2089587382","https://openalex.org/W2124463804","https://openalex.org/W2140475713","https://openalex.org/W2141014056","https://openalex.org/W2147042314","https://openalex.org/W2149302045","https://openalex.org/W2149463972","https://openalex.org/W2152648638","https://openalex.org/W2153988305","https://openalex.org/W2158340226","https://openalex.org/W2160956336","https://openalex.org/W2163129097","https://openalex.org/W2165447611","https://openalex.org/W2165835468","https://openalex.org/W2167320870","https://openalex.org/W2167708128","https://openalex.org/W2183325870","https://openalex.org/W2288752886","https://openalex.org/W2295576075","https://openalex.org/W2343117455","https://openalex.org/W2497075055","https://openalex.org/W2498631646","https://openalex.org/W2592141703","https://openalex.org/W2740976805","https://openalex.org/W2782517596","https://openalex.org/W2789806937","https://openalex.org/W2796629918","https://openalex.org/W2887985146","https://openalex.org/W2901555355","https://openalex.org/W2941427360","https://openalex.org/W2976114323","https://openalex.org/W2987079549","https://openalex.org/W3003955104","https://openalex.org/W3007076381","https://openalex.org/W3008839601","https://openalex.org/W3021998006","https://openalex.org/W3087883793","https://openalex.org/W3112037842","https://openalex.org/W3164714368","https://openalex.org/W3169569276","https://openalex.org/W3199351457","https://openalex.org/W3206604724","https://openalex.org/W4200080982","https://openalex.org/W4206736393","https://openalex.org/W4210392637","https://openalex.org/W4211230453","https://openalex.org/W4220831207","https://openalex.org/W4224261559","https://openalex.org/W4225850527","https://openalex.org/W4230962939","https://openalex.org/W4250589301","https://openalex.org/W4280638333","https://openalex.org/W4281749953","https://openalex.org/W4285258034"],"related_works":["https://openalex.org/W2117338621","https://openalex.org/W2090082185","https://openalex.org/W2987273924","https://openalex.org/W3184368071","https://openalex.org/W3034655717","https://openalex.org/W1985153411","https://openalex.org/W2899327139","https://openalex.org/W3200850268","https://openalex.org/W2417715171","https://openalex.org/W3173596272"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,30,43,110,137,168,179,191],"is":[2,77,101],"a":[3,37,50,104,116,129],"fundamental":[4],"task":[5],"in":[6,67],"hyperspectral":[7,41,189],"image":[8],"(HSI)":[9],"processing.":[10],"However,":[11],"most":[12],"existing":[13],"methods":[14],"rely":[15],"on":[16,120,172],"pixel":[17],"feature":[18],"vectors":[19],"and":[20,52],"overlook":[21],"the":[22,29,46,56,78,95,146,154,160,177],"relational":[23],"structure":[24],"information":[25,66,162],"between":[26,84,163],"pixels,":[27],"limiting":[28],"performance.":[31],"In":[32],"this":[33],"article,":[34],"we":[35],"propose":[36],"novel":[38],"approach":[39,151,184],"to":[40,80,134,165,186],"anomaly":[42,109,167,190],"that":[44],"characterizes":[45,153],"HSI":[47],"data":[48],"using":[49,111],"vertex-":[51],"edge-weighted":[53],"graph":[54,62,105,141],"with":[55],"pixels":[57,85,164],"as":[58,103,115],"vertices.":[59],"The":[60],"constructed":[61],"encodes":[63],"rich":[64],"structural":[65,161],"an":[68],"affinity":[69,96],"matrix.":[70,97],"A":[71],"crucial":[72],"innovation":[73],"of":[74,94,122,157,181],"our":[75,182],"method":[76],"ability":[79],"obtain":[81],"internal":[82],"relations":[83],"at":[86],"multiple":[87],"topological":[88,124,155],"scales":[89],"by":[90],"processing":[91,100],"different":[92],"powers":[93],"This":[98],"power":[99],"viewed":[102],"evolution,":[106,142],"which":[107,143],"enables":[108],"vertex":[112],"extraction":[113],"formulated":[114],"quadratic":[117],"programming":[118],"problem":[119],"graphs":[121],"varying":[123],"scales.":[125],"We":[126],"also":[127],"design":[128],"hierarchical":[130],"guided":[131],"filtering":[132],"architecture":[133],"fuse":[135],"multiscale":[136],"results":[138,171],"derived":[139],"from":[140],"significantly":[144],"reduces":[145],"false":[147],"alarm":[148],"rate.":[149],"Our":[150],"effectively":[152],"properties":[156],"HSIs,":[158],"leveraging":[159],"improve":[166],"accuracy.":[169],"Experimental":[170],"four":[173],"real":[174],"HSIs":[175],"demonstrate":[176],"superior":[178],"performance":[180],"proposed":[183],"compared":[185],"some":[187],"state-of-the-art":[188],"methods.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
