{"id":"https://openalex.org/W4390187486","doi":"https://doi.org/10.1109/tgrs.2023.3347434","title":"Band Sampling of Hyperspectral Anomaly Detection in Effective Anomaly Space","display_name":"Band Sampling of Hyperspectral Anomaly Detection in Effective Anomaly Space","publication_year":2023,"publication_date":"2023-12-25","ids":{"openalex":"https://openalex.org/W4390187486","doi":"https://doi.org/10.1109/tgrs.2023.3347434"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3347434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3347434","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5073412670","display_name":"Chein\u2010I Chang","orcid":"https://orcid.org/0000-0002-5450-4891"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]},{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]},{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["CN","TW","US"],"is_corresponding":true,"raw_author_name":"Chein-I Chang","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information and Technology College, Dalian Maritime University, Dalian, China","Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Electrical Engineering, Remote Sensing Signal and Image Processing Laboratory, University of Maryland, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, Remote Sensing Signal and Image Processing Laboratory, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037870921","display_name":"Chien-Yu Lin","orcid":"https://orcid.org/0000-0003-0118-3112"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chien-Yu Lin","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, Remote Sensing Signal and Image Processing Laboratory, University of Maryland, Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, Remote Sensing Signal and Image Processing Laboratory, University of Maryland, Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008114238","display_name":"Peter Hu","orcid":"https://orcid.org/0000-0001-7332-758X"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Fuming Hu","raw_affiliation_strings":["Department of Anesthesia, University of Maryland School of Medicine, R Adams Cowley Shock Trauma Center, Shock Trauma Anesthesia Organized Research Center, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Anesthesia, University of Maryland School of Medicine, R Adams Cowley Shock Trauma Center, Shock Trauma Anesthesia Organized Research Center, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073412670"],"corresponding_institution_ids":["https://openalex.org/I126744593","https://openalex.org/I43313876","https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":2.3815,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.90200741,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8046063184738159},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6313557028770447},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6100208759307861},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5249312520027161},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35974034667015076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.19581487774848938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1437569260597229},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11165213584899902}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8046063184738159},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6313557028770447},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6100208759307861},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5249312520027161},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35974034667015076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19581487774848938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1437569260597229},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11165213584899902},{"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":2,"locations":[{"id":"doi:10.1109/tgrs.2023.3347434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3347434","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:mdsoar.org:11603/31273","is_oa":false,"landing_page_url":"http://hdl.handle.net/11603/31273","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G135160501","display_name":null,"funder_award_id":"111-2634-F-006-012","funder_id":"https://openalex.org/F4320331164","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1899348529","https://openalex.org/W1972578813","https://openalex.org/W2004491663","https://openalex.org/W2011147915","https://openalex.org/W2019502123","https://openalex.org/W2024288510","https://openalex.org/W2033888020","https://openalex.org/W2047870694","https://openalex.org/W2101252963","https://openalex.org/W2104266187","https://openalex.org/W2119667497","https://openalex.org/W2124463804","https://openalex.org/W2145962650","https://openalex.org/W2154236340","https://openalex.org/W2165755981","https://openalex.org/W2166923144","https://openalex.org/W2167708128","https://openalex.org/W2288752886","https://openalex.org/W2295576075","https://openalex.org/W2493273699","https://openalex.org/W2789806937","https://openalex.org/W2791725003","https://openalex.org/W2795739134","https://openalex.org/W2948763898","https://openalex.org/W2951401720","https://openalex.org/W3003955104","https://openalex.org/W3005109735","https://openalex.org/W3008839601","https://openalex.org/W3042747521","https://openalex.org/W3080792885","https://openalex.org/W3087883793","https://openalex.org/W3089477649","https://openalex.org/W3107126660","https://openalex.org/W3112037842","https://openalex.org/W3133603318","https://openalex.org/W3137199127","https://openalex.org/W3177111766","https://openalex.org/W3186256209","https://openalex.org/W3193418296","https://openalex.org/W3199351457","https://openalex.org/W3207817117","https://openalex.org/W3210780861","https://openalex.org/W4220831207","https://openalex.org/W4248253651","https://openalex.org/W4312289230","https://openalex.org/W4312572145","https://openalex.org/W4321488108","https://openalex.org/W4366678167","https://openalex.org/W4367146981","https://openalex.org/W4390347709"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W2083270190","https://openalex.org/W1991437568","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/W2912112202"],"abstract_inverted_index":{"This":[0],"article":[1,70],"investigates":[2],"four":[3,95,158,174],"issues,":[4],"background":[5],"(BKG)":[6],"suppression":[7],"(BS),":[8],"anomaly":[9,31,51,104,112,137,209],"detectability,":[10,52],"noise":[11,55,140],"effect,":[12,56],"and":[13,53,80,128,139,155,163,187,189,197,204],"interband":[14],"correlation":[15],"reduction":[16],"(IBCR),":[17],"which":[18,134],"have":[19],"significant":[20],"impacts":[21],"on":[22],"its":[23],"performance.":[24],"Despite":[25],"that":[26,195],"a":[27,117,150,168],"recently":[28],"developed":[29],"effective":[30],"space":[32],"(EAS)":[33],"was":[34],"designed":[35],"to":[36,41,77,115,132,146,202],"use":[37],"data":[38,45],"sphering":[39],"(DS)":[40],"remove":[42],"the":[43,61],"second-order":[44],"statistics":[46],"characterized":[47],"by":[48],"BKG,":[49],"enhance":[50],"reduce":[54,78,147],"it":[57],"does":[58],"not":[59],"address":[60],"IBCR":[62,79],"issue.":[63],"To":[64],"cope":[65],"with":[66,91],"this":[67,69],"issue,":[68],"introduces":[71],"band":[72],"sampling":[73],"(BSam)":[74],"into":[75],"EAS":[76,88],"further":[81,135],"suppress":[82],"BKG":[83],"more":[84],"effectively.":[85],"By":[86],"implementing":[87],"in":[89],"conjunction":[90],"BSam":[92],"(EAS-BSam),":[93],"these":[94,173],"issues":[96],"can":[97],"be":[98],"resolved":[99],"altogether":[100],"for":[101],"any":[102],"arbitrary":[103],"detector.":[105],"It":[106],"first":[107],"modifies":[108],"iterative":[109,123,181],"spectral\u2013spatial":[110,124,182],"hyperspectral":[111,208],"detection":[113,210],"(ISSHAD)":[114],"develop":[116],"new":[118],"variant":[119],"of":[120],"ISSHAD,":[121],"called":[122],"maximal":[125],"map":[126],"(ISSMax),":[127],"then":[129],"generalizes":[130],"ISSMax":[131,156],"EAS-ISSMax,":[133,161],"enhances":[136],"detectability":[138],"removal.":[141],"Finally,":[142],"EAS-BSam":[143,196],"is":[144],"implemented":[145],"IBCR.":[148],"As":[149],"result,":[151],"combining":[152],"EAS,":[153],"BSam,":[154],"yields":[157],"versions:":[159],"EAS-BSam,":[160],"BSam-SSMAX,":[162],"EAS-BSam-SSMax.":[164],"Such":[165],"integration":[166],"presents":[167],"great":[169],"challenge":[170],"because":[171],"all":[172],"versions":[175],"are":[176],"derived":[177],"from":[178],"different":[179],"aspects,":[180],"feedback":[183],"process,":[184],"compressive":[185],"sensing,":[186],"low-rank":[188],"sparse":[190],"matrix":[191],"decomposition.":[192],"Experiments":[193],"demonstrate":[194],"EAS-BSam-SSMax":[198],"show":[199],"their":[200],"superiority":[201],"ISSHAD":[203],"many":[205],"current":[206],"existing":[207],"(HAD)":[211],"methods.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}