{"id":"https://openalex.org/W2400034191","doi":"https://doi.org/10.1109/tgrs.2016.2562019","title":"A New Methodology Based on Level Sets for Target Detection in Hyperspectral Images","display_name":"A New Methodology Based on Level Sets for Target Detection in Hyperspectral Images","publication_year":2016,"publication_date":"2016-05-23","ids":{"openalex":"https://openalex.org/W2400034191","doi":"https://doi.org/10.1109/tgrs.2016.2562019","mag":"2400034191"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2562019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2562019","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/A5109584664","display_name":"Andres Alarcon-Ramirez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131753","display_name":"Colombian Corporation for Agricultural Research - AGROSAVIA","ror":"https://ror.org/03d0jkp23","country_code":"CO","type":"funder","lineage":["https://openalex.org/I4210131753"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Andres Alarcon-Ramirez","raw_affiliation_strings":["Corpoica, Mosquera, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Corpoica, Mosquera, Colombia","institution_ids":["https://openalex.org/I4210131753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008468466","display_name":"Mugizi Robert Rwebangira","orcid":null},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mugizi Robert Rwebangira","raw_affiliation_strings":["Department of Computer Science, Howard University, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108617784","display_name":"Mohamed Chouikha","orcid":null},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed F. Chouikha","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Howard University, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064562150","display_name":"Vidya Manian","orcid":"https://orcid.org/0000-0003-3834-8857"},"institutions":[{"id":"https://openalex.org/I60388903","display_name":"University of Puerto Rico-Mayaguez","ror":"https://ror.org/00wek6x04","country_code":"PR","type":"education","lineage":["https://openalex.org/I200399037","https://openalex.org/I60388903"]}],"countries":["PR"],"is_corresponding":false,"raw_author_name":"Vidya Manian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Puerto Rico at Mayag\u00fcez, Mayag\u00fcez, PR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Puerto Rico at Mayag\u00fcez, Mayag\u00fcez, PR, USA","institution_ids":["https://openalex.org/I60388903"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.31,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84224719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"54","issue":"9","first_page":"5385","last_page":"5396"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9829000234603882,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9790999889373779,"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":0.7962822914123535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6922020316123962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6507594585418701},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6464322805404663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5969297885894775},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5307970643043518},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5150896906852722},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44572460651397705},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.42706674337387085},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.41592735052108765},{"id":"https://openalex.org/keywords/projection-pursuit","display_name":"Projection pursuit","score":0.41425585746765137},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.41304612159729004},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32712483406066895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2992209792137146},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2569183111190796},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09190422296524048}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7962822914123535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6922020316123962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6507594585418701},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6464322805404663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5969297885894775},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5307970643043518},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5150896906852722},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44572460651397705},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.42706674337387085},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.41592735052108765},{"id":"https://openalex.org/C118038509","wikidata":"https://www.wikidata.org/wiki/Q382970","display_name":"Projection pursuit","level":2,"score":0.41425585746765137},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.41304612159729004},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32712483406066895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2992209792137146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2569183111190796},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09190422296524048}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2016.2562019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2562019","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":[{"score":0.8799999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G8883577332","display_name":null,"funder_award_id":"EEC-9986821","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W39571782","https://openalex.org/W232370641","https://openalex.org/W836136737","https://openalex.org/W1604679511","https://openalex.org/W1632706404","https://openalex.org/W1967596317","https://openalex.org/W1977049998","https://openalex.org/W1977888928","https://openalex.org/W1998454520","https://openalex.org/W2012976027","https://openalex.org/W2014690245","https://openalex.org/W2062741922","https://openalex.org/W2077753079","https://openalex.org/W2087408442","https://openalex.org/W2093528734","https://openalex.org/W2099301440","https://openalex.org/W2100855835","https://openalex.org/W2110782084","https://openalex.org/W2110941103","https://openalex.org/W2116040950","https://openalex.org/W2117477212","https://openalex.org/W2118996198","https://openalex.org/W2129062482","https://openalex.org/W2131590603","https://openalex.org/W2132184828","https://openalex.org/W2134156163","https://openalex.org/W2137945622","https://openalex.org/W2138097141","https://openalex.org/W2146954653","https://openalex.org/W2149184914","https://openalex.org/W2149302045","https://openalex.org/W2152648638","https://openalex.org/W2159955373","https://openalex.org/W2163957348","https://openalex.org/W2164368986","https://openalex.org/W2166682552","https://openalex.org/W2532359871","https://openalex.org/W3211330693","https://openalex.org/W6609030169","https://openalex.org/W6653652837","https://openalex.org/W6677508755","https://openalex.org/W6684592417","https://openalex.org/W6982545114"],"related_works":["https://openalex.org/W1966127109","https://openalex.org/W2076134148","https://openalex.org/W2096150698","https://openalex.org/W2185958719","https://openalex.org/W2542932817","https://openalex.org/W4312857205","https://openalex.org/W2223320490","https://openalex.org/W2340004334","https://openalex.org/W2536634271","https://openalex.org/W2341132039"],"abstract_inverted_index":{"Target":[0],"detection":[1,37,119,155],"in":[2,20,38,62,121,133,140,153],"hyperspectral":[3],"images":[4],"(HSIs)":[5],"is":[6,51,115],"an":[7,63],"active":[8],"area":[9],"of":[10,72,111,142],"research;":[11],"it":[12,136],"seeks":[13],"to":[14,57],"detect":[15,131],"objects":[16],"that":[17,93,125],"are":[18],"small":[19],"both":[21],"number":[22],"and":[23,45,69,89,135,171],"size":[24],"within":[25],"a":[26,32,46,54,108],"scene.":[27],"The":[28],"proposed":[29,127],"work":[30],"presents":[31],"new":[33],"methodology":[34],"for":[35,117],"target":[36,98,118,154],"HSIs":[39],"by":[40],"combining":[41],"kurtosis,":[42],"level":[43,66,112],"sets,":[44,113],"size-based":[47,83],"thresholding":[48,84],"strategy.":[49],"Kurtosis":[50],"used":[52,152],"as":[53,78,101,157],"preprocessing":[55],"step":[56],"initially":[58],"enhance":[59],"the":[60,82,126,143],"targets":[61,88,132],"image.":[64],"Then,":[65],"sets":[67],"identify":[68],"mark":[70],"associations":[71],"pixels":[73],"with":[74,97],"similar":[75],"spectral":[76],"information":[77],"candidate":[79],"targets.":[80],"Finally,":[81],"strategy":[85],"detects":[86],"true":[87],"discards":[90],"false":[91],"alarms":[92],"do":[94],"not":[95],"fit":[96],"dimensions":[99],"set":[100],"input":[102],"parameter.":[103],"In":[104],"addition,":[105],"we":[106],"propose":[107],"novel":[109],"version":[110],"which":[114],"suitable":[116],"tasks":[120],"HSIs.":[122],"Results":[123],"show":[124],"algorithm":[128],"could":[129],"successfully":[130],"HSIs,":[134],"gave":[137],"better":[138],"performance":[139],"terms":[141],"receiver":[144],"operating":[145],"characteristic":[146],"curve":[147],"than":[148],"other":[149],"techniques":[150],"widely":[151],"such":[156],"orthogonal":[158],"subspace":[159],"projection,":[160],"constrained":[161,164],"signal":[162],"detector,":[163],"energy":[165],"minimization,":[166],"adaptive":[167],"cosine/coherent":[168],"estimator":[169],"algorithm,":[170],"generalized-likelihood":[172],"ratio":[173],"test.":[174]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
