{"id":"https://openalex.org/W2558098092","doi":"https://doi.org/10.1109/tgrs.2016.2623742","title":"Discriminative Low-Rank Gabor Filtering for Spectral\u2013Spatial Hyperspectral Image Classification","display_name":"Discriminative Low-Rank Gabor Filtering for Spectral\u2013Spatial Hyperspectral Image Classification","publication_year":2016,"publication_date":"2016-12-02","ids":{"openalex":"https://openalex.org/W2558098092","doi":"https://doi.org/10.1109/tgrs.2016.2623742","mag":"2558098092"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2623742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2623742","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/A5040061834","display_name":"Lin He","orcid":"https://orcid.org/0000-0003-3801-7257"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin He","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"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/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","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":["Hyperspectral Computing Laboratory, University of Extremadura, Caceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, University of Extremadura, Caceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100672536","display_name":"Yuanqing Li","orcid":"https://orcid.org/0000-0003-4288-5591"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqing Li","raw_affiliation_strings":["Guangzhou Key Laboratory of Brain Computer Interface and Applications, Guangzhou, China","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Key Laboratory of Brain Computer Interface and Applications, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040061834"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":17.6689,"has_fulltext":false,"cited_by_count":140,"citation_normalized_percentile":{"value":0.99370327,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"55","issue":"3","first_page":"1381","last_page":"1395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.994700014591217,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9210299253463745},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9148956537246704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7388586401939392},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.72406005859375},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.6105924844741821},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6012862920761108},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5227349400520325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5058988928794861},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4967246651649475},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.48127835988998413},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47336646914482117},{"id":"https://openalex.org/keywords/band-pass-filter","display_name":"Band-pass filter","score":0.45545899868011475},{"id":"https://openalex.org/keywords/spatial-filter","display_name":"Spatial filter","score":0.4550505578517914},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43985119462013245},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4356403052806854},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.42120349407196045},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07982996106147766},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0649804174900055}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9210299253463745},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9148956537246704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7388586401939392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.72406005859375},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.6105924844741821},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6012862920761108},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5227349400520325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5058988928794861},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4967246651649475},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.48127835988998413},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47336646914482117},{"id":"https://openalex.org/C147788027","wikidata":"https://www.wikidata.org/wiki/Q2718101","display_name":"Band-pass filter","level":2,"score":0.45545899868011475},{"id":"https://openalex.org/C121475858","wikidata":"https://www.wikidata.org/wiki/Q2735911","display_name":"Spatial filter","level":2,"score":0.4550505578517914},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43985119462013245},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4356403052806854},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.42120349407196045},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07982996106147766},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0649804174900055},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2016.2623742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2623742","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":0.7799999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2336062148","display_name":null,"funder_award_id":"2016A030313516","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G2368597761","display_name":null,"funder_award_id":"61633010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4142269679","display_name":null,"funder_award_id":"61571195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4538774825","display_name":null,"funder_award_id":"91420302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5355010758","display_name":null,"funder_award_id":"2014A030312005","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W103372718","https://openalex.org/W1532366589","https://openalex.org/W1574100544","https://openalex.org/W1590946397","https://openalex.org/W1977066218","https://openalex.org/W1979730959","https://openalex.org/W1993707757","https://openalex.org/W1999331929","https://openalex.org/W2001298023","https://openalex.org/W2003671357","https://openalex.org/W2004754531","https://openalex.org/W2008835672","https://openalex.org/W2008847349","https://openalex.org/W2010797000","https://openalex.org/W2013251902","https://openalex.org/W2014041724","https://openalex.org/W2016860790","https://openalex.org/W2022361862","https://openalex.org/W2035451505","https://openalex.org/W2042568525","https://openalex.org/W2043116665","https://openalex.org/W2043665634","https://openalex.org/W2044439250","https://openalex.org/W2051253084","https://openalex.org/W2052160904","https://openalex.org/W2063385051","https://openalex.org/W2069231830","https://openalex.org/W2070452328","https://openalex.org/W2078296814","https://openalex.org/W2097915756","https://openalex.org/W2099129687","https://openalex.org/W2100183381","https://openalex.org/W2100975942","https://openalex.org/W2101711129","https://openalex.org/W2106777458","https://openalex.org/W2112162870","https://openalex.org/W2113513024","https://openalex.org/W2114819256","https://openalex.org/W2116522126","https://openalex.org/W2119897980","https://openalex.org/W2123717994","https://openalex.org/W2131697388","https://openalex.org/W2131725398","https://openalex.org/W2131864940","https://openalex.org/W2135346934","https://openalex.org/W2136251662","https://openalex.org/W2144966944","https://openalex.org/W2145649962","https://openalex.org/W2150434735","https://openalex.org/W2151299970","https://openalex.org/W2158400785","https://openalex.org/W2159070926","https://openalex.org/W2160379265","https://openalex.org/W2163346236","https://openalex.org/W2164330327","https://openalex.org/W2166229804","https://openalex.org/W2166923144","https://openalex.org/W2169650425","https://openalex.org/W2169856283","https://openalex.org/W2171181782","https://openalex.org/W2341894713","https://openalex.org/W3150214740","https://openalex.org/W4235561357","https://openalex.org/W4320339642","https://openalex.org/W6677142151"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"Spectral-spatial":[0],"classification":[1,145,188,224,241],"of":[2,11,42,72,98,110,136,180,196,223],"remotely":[3],"sensed":[4],"hyperspectral":[5,26,66,137,210],"images":[6],"has":[7,19,45],"attracted":[8],"a":[9,56,147],"lot":[10],"attention":[12],"in":[13,146,221],"recent":[14],"years.":[15],"Although":[16],"Gabor":[17,60,88,170,235],"filtering":[18,61,120],"been":[20,47],"used":[21],"for":[22,64],"feature":[23],"extraction":[24],"from":[25,34],"images,":[27,211],"its":[28],"capacity":[29],"to":[30,95,128,142,162,174,191],"extract":[31,129],"relevant":[32],"information":[33],"both":[35],"the":[36,39,43,73,84,111,114,134,157,167,177,181,193,197,201,214,232],"spectral":[37,123],"and":[38,100,121,150,226,237],"spatial":[40,119],"domains":[41],"image":[44,67],"not":[46],"fully":[48],"explored":[49],"yet.":[50],"In":[51,172],"this":[52],"paper,":[53],"we":[54,105,184],"present":[55],"new":[57],"discriminative":[58,149,178],"low-rank":[59],"(DLRGF)":[62],"method":[63,217],"spectral-spatial":[65,87,144,169,234,240],"classification.":[68],"A":[69],"main":[70],"innovation":[71],"proposed":[74,215],"approach":[75],"is":[76,80,125],"that":[77,107,116,213],"our":[78],"implementation":[79],"accomplished":[81],"by":[82,154,200],"decomposing":[83],"standard":[85],"3-D":[86,168,233],"filter":[89,236],"into":[90],"eight":[91],"subfilters,":[92],"which":[93],"correspond":[94],"different":[96,202,209],"combinations":[97],"low-pass":[99,118],"bandpass":[101,122],"single-rank":[102],"filters.":[103],"Then,":[104],"show":[106],"only":[108],"one":[109,115],"subfilters":[112],"(i.e.,":[113],"performs":[117],"filtering)":[124],"actually":[126],"appropriate":[127],"suitable":[130],"features":[131,198],"based":[132],"on":[133],"characteristics":[135],"images.":[138],"This":[139],"allows":[140],"us":[141],"perform":[143],"highly":[148],"computationally":[151],"efficient":[152],"way,":[153],"significantly":[155],"decreasing":[156],"computational":[158,227],"complexity":[159],"(from":[160],"cubic":[161],"linear":[163],"order)":[164],"compared":[165,230],"with":[166,231],"filter.":[171],"order":[173],"theoretically":[175],"prove":[176],"ability":[179],"selected":[182],"subfilter,":[183],"derive":[185],"an":[186],"overall":[187],"risk":[189],"bound":[190],"evaluate":[192],"discriminating":[194],"abilities":[195],"provided":[199],"subfilters.":[203],"Our":[204],"experimental":[205],"results,":[206],"conducted":[207],"using":[208],"indicate":[212],"DLRGF":[216],"exhibits":[218],"significant":[219],"improvements":[220],"terms":[222],"accuracy":[225],"performance":[228],"when":[229],"other":[238],"state-of-the-art":[239],"methods.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
