{"id":"https://openalex.org/W2941273564","doi":"https://doi.org/10.1109/lgrs.2019.2906839","title":"Efficient Probabilistic Collaborative Representation-Based Classifier for Hyperspectral Image Classification","display_name":"Efficient Probabilistic Collaborative Representation-Based Classifier for Hyperspectral Image Classification","publication_year":2019,"publication_date":"2019-04-25","ids":{"openalex":"https://openalex.org/W2941273564","doi":"https://doi.org/10.1109/lgrs.2019.2906839","mag":"2941273564"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2906839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2906839","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/A5100378202","display_name":"Yan Xu","orcid":"https://orcid.org/0000-0001-5827-7780"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yan Xu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Starkville, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Starkville, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["College of Information Sciences, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Sciences, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075380767","display_name":"Nicolas H. Younan","orcid":"https://orcid.org/0000-0003-0815-5173"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolas H. Younan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Starkville, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100378202"],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":1.2498,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82414728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"16","issue":"11","first_page":"1746","last_page":"1750"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9887999892234802,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9718000292778015,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7745366096496582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7203384637832642},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6723810434341431},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6713905930519104},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.6713659763336182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6601869463920593},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.626082181930542},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6208393573760986},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49132123589515686},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4593117833137512},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4406878650188446},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24648573994636536},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.24457228183746338},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.11247512698173523}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7745366096496582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7203384637832642},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6723810434341431},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6713905930519104},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6713659763336182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6601869463920593},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.626082181930542},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6208393573760986},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49132123589515686},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4593117833137512},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4406878650188446},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24648573994636536},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.24457228183746338},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.11247512698173523},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2906839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2906839","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1972524915","https://openalex.org/W1990474298","https://openalex.org/W2004491663","https://openalex.org/W2008641145","https://openalex.org/W2009286595","https://openalex.org/W2041693072","https://openalex.org/W2077028485","https://openalex.org/W2083541351","https://openalex.org/W2086286489","https://openalex.org/W2114819256","https://openalex.org/W2127152713","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2134686545","https://openalex.org/W2136251662","https://openalex.org/W2141379714","https://openalex.org/W2151665594","https://openalex.org/W2152057649","https://openalex.org/W2153635508","https://openalex.org/W2163808566","https://openalex.org/W2164330327","https://openalex.org/W2209969974","https://openalex.org/W2335607901","https://openalex.org/W2340318445","https://openalex.org/W2395443950","https://openalex.org/W2471678645","https://openalex.org/W2557543785","https://openalex.org/W2570194385","https://openalex.org/W2583142700","https://openalex.org/W2753248899","https://openalex.org/W2799870441"],"related_works":["https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926","https://openalex.org/W4382934300","https://openalex.org/W2121061354","https://openalex.org/W4285388059","https://openalex.org/W2910954186","https://openalex.org/W4205999209","https://openalex.org/W4288570796","https://openalex.org/W2444525338"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"an":[3],"efficient":[4],"probabilistic":[5],"collaborative":[6,52],"representation-based":[7],"classifier":[8,54],"(PROCRC)":[9],"for":[10],"hyperspectral":[11,25],"image":[12],"classification.":[13],"Its":[14],"performance":[15,72],"is":[16,77],"evaluated":[17],"on":[18],"different":[19],"types":[20],"of":[21,24,67],"spatial":[22],"features":[23],"imagery":[26],"(HSI)":[27],"including":[28],"shape":[29],"feature":[30,36,42],"(i.e.,":[31,37],"extended":[32],"multiattribute":[33],"feature),":[34,39],"global":[35],"Gabor":[38],"and":[40],"local":[41,44],"[i.e.,":[43],"binary":[45],"pattern":[46],"(LBP)].":[47],"Compared":[48],"with":[49,92],"the":[50,56,84],"original":[51],"representation":[53],"(CRC),":[55],"proposed":[57],"PROCRC":[58,85],"offers":[59],"superior":[60],"classification":[61,71,89],"performance.":[62],"The":[63,79],"Tikhonov":[64],"regularized":[65],"versions":[66],"CRC":[68],"have":[69],"excellent":[70],"but":[73,91],"their":[74],"computational":[75,95],"cost":[76],"high.":[78],"experimental":[80],"results":[81],"show":[82],"that":[83],"can":[86],"yield":[87],"comparable":[88],"accuracy":[90],"much":[93],"lower":[94],"cost.":[96]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
