{"id":"https://openalex.org/W4296337666","doi":"https://doi.org/10.1109/tgrs.2022.3207766","title":"Sparse Tensor Model-Based Spectral Angle Detector for Hyperspectral Target Detection","display_name":"Sparse Tensor Model-Based Spectral Angle Detector for Hyperspectral Target Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4296337666","doi":"https://doi.org/10.1109/tgrs.2022.3207766"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3207766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3207766","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/A5043208973","display_name":"Jiang Zeng","orcid":"https://orcid.org/0000-0001-6282-5401"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Zeng","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6282-5401","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005729523","display_name":"Qunming Wang","orcid":"https://orcid.org/0000-0002-5188-0939"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunming Wang","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5188-0939","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":1.0974,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79863148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9725000262260437,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9228000044822693,"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":0.9386361241340637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.648604154586792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6192322373390198},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.592160701751709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5879567265510559},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5806925296783447},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5611483454704285},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.5213773846626282},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.5046151876449585},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4346056580543518},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41212019324302673},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3151935338973999},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25348854064941406},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07811051607131958}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9386361241340637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.648604154586792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6192322373390198},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.592160701751709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5879567265510559},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5806925296783447},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5611483454704285},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.5213773846626282},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.5046151876449585},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4346056580543518},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41212019324302673},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3151935338973999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25348854064941406},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07811051607131958},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3207766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3207766","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1993716853","display_name":null,"funder_award_id":"42222108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2350366763","display_name":"\u878d\u5408\u591a\u5c3a\u5ea6\u9065\u611f\u65f6\u5e8f\u6570\u636e\u7684\u9ad8\u65f6\u7a7a\u5206\u8fa8\u7387\u5236\u56fe\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41971297","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8971197728","display_name":null,"funder_award_id":"42171345","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W625476304","https://openalex.org/W2010319424","https://openalex.org/W2037143195","https://openalex.org/W2110211064","https://openalex.org/W2117741752","https://openalex.org/W2118996198","https://openalex.org/W2145962650","https://openalex.org/W2149936180","https://openalex.org/W2154236340","https://openalex.org/W2163957348","https://openalex.org/W2335197470","https://openalex.org/W2500751094","https://openalex.org/W2558551153","https://openalex.org/W2747115743","https://openalex.org/W2756635220","https://openalex.org/W2766387201","https://openalex.org/W2768241383","https://openalex.org/W2791928749","https://openalex.org/W2811215163","https://openalex.org/W2890376060","https://openalex.org/W2900718393","https://openalex.org/W2962898849","https://openalex.org/W2963664109","https://openalex.org/W2963885538","https://openalex.org/W2975159970","https://openalex.org/W2982545969","https://openalex.org/W2985487644","https://openalex.org/W3042747521","https://openalex.org/W3045657924","https://openalex.org/W3049763693","https://openalex.org/W3087883793","https://openalex.org/W3087931076","https://openalex.org/W3091247454","https://openalex.org/W3100364246","https://openalex.org/W3112037842","https://openalex.org/W3120451664","https://openalex.org/W3127042927","https://openalex.org/W3129037655","https://openalex.org/W3136812385","https://openalex.org/W3156696558","https://openalex.org/W3164173661","https://openalex.org/W3164449918","https://openalex.org/W3169569276","https://openalex.org/W3199351457","https://openalex.org/W3207369870","https://openalex.org/W3214077783","https://openalex.org/W4205124618","https://openalex.org/W4210888162","https://openalex.org/W4210987640","https://openalex.org/W4212955958","https://openalex.org/W4214751062","https://openalex.org/W4220831207","https://openalex.org/W4225688999","https://openalex.org/W6677508755"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W4386427838","https://openalex.org/W2533019003","https://openalex.org/W2800956885","https://openalex.org/W2626158795","https://openalex.org/W2057283258","https://openalex.org/W1788560349","https://openalex.org/W2324845311","https://openalex.org/W2391021239","https://openalex.org/W2166564037"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,29,35,40,46,95,100,103,109,112,116,120,130,132,152,156,167,171,188],"hyperspectral":[4,78,182],"target":[5,79,144,157,168],"detection":[6,32,104],"technique":[7],"has":[8],"received":[9],"widespread":[10],"attention,":[11],"and":[12,38,111,158,169],"various":[13],"methods":[14,22,30],"have":[15],"been":[16],"proposed.":[17],"However,":[18],"most":[19],"of":[20,53],"these":[21,65],"suffer":[23],"mainly":[24],"from":[25,94],"two":[26],"problems.":[27],"First,":[28,81],"perform":[31],"based":[33,178],"on":[34,99,179],"original":[36,96],"image,":[37],"thus,":[39],"targets":[41],"are":[42],"easily":[43],"contaminated":[44,107],"by":[45,108],"complex":[47],"background.":[48,172],"Second,":[49,126],"a":[50,69,83,89,142,162],"large":[51],"amount":[52],"prior":[54,147],"information":[55],"is":[56,105,192],"usually":[57],"required,":[58],"but":[59],"difficult":[60],"to":[61,127,150,165],"obtain.":[62],"To":[63],"solve":[64],"problems,":[66],"we":[67,87,160],"proposed":[68,189],"Sparse":[70],"Tensor":[71],"model-based":[72],"Spectral":[73],"Angle":[74],"(STSA)":[75],"detector":[76],"for":[77],"detection.":[80],"with":[82],"tensor":[84,91,114],"decomposition":[85,124],"model,":[86],"obtained":[88],"sparse":[90,101,113],"component":[92],"separated":[93],"image.":[97],"Based":[98],"tensor,":[102],"less":[106],"background,":[110,159],"retains":[115],"spatial":[117],"structure":[118],"using":[119],"developed":[121],"3D":[122],"tensor-based":[123],"model.":[125],"further":[128],"enhance":[129],"performance,":[131],"projected":[133],"spectral":[134],"angle":[135],"method":[136,191],"was":[137],"developed,":[138],"which":[139],"only":[140],"requires":[141],"single":[143],"spectrum":[145],"as":[146],"information.":[148],"Finally,":[149],"increase":[151],"separation":[153],"ability":[154],"between":[155],"applied":[161],"statistical":[163],"strategy":[164],"highlight":[166],"suppress":[170],"The":[173,184],"experiments":[174],"were":[175],"carried":[176],"out":[177],"four":[180],"public":[181],"datasets.":[183],"results":[185],"showed":[186],"that":[187],"STSA":[190],"more":[193],"accurate":[194],"than":[195],"11":[196],"benchmark":[197],"methods.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
