{"id":"https://openalex.org/W2980054274","doi":"https://doi.org/10.1109/tcsvt.2019.2946723","title":"Low Rank Component Induced Spatial-Spectral Kernel Method for Hyperspectral Image Classification","display_name":"Low Rank Component Induced Spatial-Spectral Kernel Method for Hyperspectral Image Classification","publication_year":2019,"publication_date":"2019-10-11","ids":{"openalex":"https://openalex.org/W2980054274","doi":"https://doi.org/10.1109/tcsvt.2019.2946723","mag":"2980054274"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2946723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2946723","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5059068224","display_name":"Le Sun","orcid":"https://orcid.org/0000-0001-6465-8678"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Le Sun","raw_affiliation_strings":["Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6465-8678","affiliations":[{"raw_affiliation_string":"Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104096588","display_name":"Chenyang Ma","orcid":"https://orcid.org/0009-0006-2223-9583"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Ma","raw_affiliation_strings":["School of Mathematics and Statistics, NUIST, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, NUIST, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067737362","display_name":"Yunjie Chen","orcid":"https://orcid.org/0000-0002-3210-6366"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjie Chen","raw_affiliation_strings":["School of Mathematics and Statistics, NUIST, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, NUIST, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698166","display_name":"Yuhui Zheng","orcid":"https://orcid.org/0000-0002-4408-3800"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Zheng","raw_affiliation_strings":["School of Computer and Software, NUIST, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4408-3800","affiliations":[{"raw_affiliation_string":"School of Computer and Software, NUIST, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110226483","display_name":"Hiuk Jae Shim","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hiuk Jae Shim","raw_affiliation_strings":["School of Computer and Software, NUIST, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software, NUIST, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031361250","display_name":"Zebin Wu","orcid":"https://orcid.org/0000-0002-7162-0202"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zebin Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7162-0202","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074587654","display_name":"Byeungwoo Jeon","orcid":"https://orcid.org/0000-0002-5650-2881"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeungwoo Jeon","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5650-2881","affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5059068224"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":13.2278,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.98914773,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"30","issue":"10","first_page":"3829","last_page":"3842"},"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":0.9947999715805054,"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":0.9932000041007996,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8338254690170288},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7178868651390076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7126690149307251},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6987864971160889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6711744666099548},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.608863890171051},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5801174640655518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5062605142593384},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4967871308326721},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4731729328632355},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.44597649574279785},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42191651463508606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34454768896102905},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12182575464248657}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8338254690170288},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7178868651390076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7126690149307251},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6987864971160889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6711744666099548},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.608863890171051},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5801174640655518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5062605142593384},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4967871308326721},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4731729328632355},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.44597649574279785},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42191651463508606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34454768896102905},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12182575464248657},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2019.2946723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2946723","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4399999976158142,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2195322469","display_name":null,"funder_award_id":"RJFW-015","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G6143281916","display_name":null,"funder_award_id":"61972206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G70979341","display_name":null,"funder_award_id":"61672291","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7241120363","display_name":null,"funder_award_id":"61672293","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7699947468","display_name":null,"funder_award_id":"61971233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G790239346","display_name":null,"funder_award_id":"61601236","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"},{"id":"https://openalex.org/F4320326182","display_name":"Six Talent Peaks Project in Jiangsu Province","ror":null},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1600550542","https://openalex.org/W1939429412","https://openalex.org/W1971891445","https://openalex.org/W1979730959","https://openalex.org/W1994040806","https://openalex.org/W1997565609","https://openalex.org/W1998030734","https://openalex.org/W2024082504","https://openalex.org/W2045095960","https://openalex.org/W2051090063","https://openalex.org/W2057196195","https://openalex.org/W2070576129","https://openalex.org/W2073748771","https://openalex.org/W2073933500","https://openalex.org/W2074594734","https://openalex.org/W2077028485","https://openalex.org/W2085625911","https://openalex.org/W2089662979","https://openalex.org/W2091089627","https://openalex.org/W2097915756","https://openalex.org/W2099129687","https://openalex.org/W2101479772","https://openalex.org/W2127199143","https://openalex.org/W2129652905","https://openalex.org/W2131864940","https://openalex.org/W2132648706","https://openalex.org/W2142077116","https://openalex.org/W2144188273","https://openalex.org/W2144348684","https://openalex.org/W2147590979","https://openalex.org/W2158400785","https://openalex.org/W2161278885","https://openalex.org/W2163346236","https://openalex.org/W2164330327","https://openalex.org/W2166923144","https://openalex.org/W2190646811","https://openalex.org/W2200631819","https://openalex.org/W2245956216","https://openalex.org/W2294492906","https://openalex.org/W2344373810","https://openalex.org/W2345019888","https://openalex.org/W2464748116","https://openalex.org/W2542472381","https://openalex.org/W2555840851","https://openalex.org/W2579929594","https://openalex.org/W2603494857","https://openalex.org/W2617982036","https://openalex.org/W2620569598","https://openalex.org/W2747744463","https://openalex.org/W2756432460","https://openalex.org/W2756481566","https://openalex.org/W2764285290","https://openalex.org/W2770315464","https://openalex.org/W2770611245","https://openalex.org/W2781745664","https://openalex.org/W2790346082","https://openalex.org/W2809635958","https://openalex.org/W2888527098","https://openalex.org/W2897199189","https://openalex.org/W2901063819","https://openalex.org/W2903268675","https://openalex.org/W2908833896","https://openalex.org/W2912961521","https://openalex.org/W2921396149","https://openalex.org/W2947104191","https://openalex.org/W2952001480","https://openalex.org/W3141645824","https://openalex.org/W6681016373","https://openalex.org/W6756186046","https://openalex.org/W6764922574"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"Kernel":[0],"methods,":[1],"e.g.,":[2],"composite":[3],"kernels":[4,8],"(CKs)":[5],"and":[6,60,116,173,205,215],"spatial-spectral":[7,21,85,159,203],"(SSKs),":[9],"have":[10],"been":[11],"demonstrated":[12],"to":[13,18,49,118,128,182,223],"be":[14],"an":[15],"effective":[16],"way":[17],"exploit":[19],"the":[20,26,51,56,94,134,138,143,151,158,166,169,195,202],"information":[22,204],"nonlinearly":[23,170],"for":[24,90,133],"improving":[25],"classification":[27],"performance":[28,208],"of":[29,58,98,104,150],"hyperspectral":[30],"image":[31],"(HSI).":[32],"However,":[33],"these":[34,71],"methods":[35],"are":[36,47,106,126],"always":[37,66],"conducted":[38],"with":[39,209],"square-shaped":[40],"window":[41],"or":[42],"superpixel":[43],"techniques.":[44],"Both":[45],"techniques":[46],"likely":[48],"misclassify":[50],"pixels":[52],"that":[53,194],"lie":[54],"at":[55,210],"boundaries":[57],"class,":[59],"thus":[61],"a":[62,78,109,130,175],"small":[63],"target":[64,135],"is":[65,155],"smoothed":[67],"away.":[68],"To":[69],"alleviate":[70],"problems,":[72],"in":[73,100],"this":[74],"paper,":[75],"we":[76],"propose":[77],"novel":[79],"patch-based":[80],"low":[81,110],"rank":[82,111],"component":[83],"induced":[84],"kernel":[86,160],"method,":[87],"termed":[88],"LRCISSK,":[89],"HSI":[91,105,191],"classification.":[92],"First,":[93],"latent":[95,152],"low-rank":[96,153],"features":[97],"spectra":[99,154,167],"each":[101],"cubic":[102],"patch":[103],"reconstructed":[107],"by":[108],"matrix":[112],"recovery":[113],"(LRMR)":[114],"technique,":[115],"then,":[117],"further":[119],"explore":[120,201],"more":[121],"accurate":[122],"spatial":[123],"information,":[124],"they":[125],"used":[127],"identify":[129],"homogeneous":[131],"neighborhood":[132,147],"pixel":[136],"(i.e.,":[137],"centroid":[139],"pixel)":[140],"adaptively.":[141],"Finally,":[142],"adaptively":[144],"identified":[145],"homogenous":[146],"which":[148],"consists":[149],"embedded":[156],"into":[157,168],"framework.":[161],"It":[162],"can":[163,199],"easily":[164],"map":[165],"complex":[171],"manifolds":[172],"enable":[174],"classifier":[176],"(e.g.,":[177],"support":[178],"vector":[179],"machine,":[180],"SVM)":[181],"distinguish":[183],"them":[184],"effectively.":[185],"Experimental":[186],"results":[187],"on":[188,219],"three":[189],"real":[190],"datasets":[192],"validate":[193],"proposed":[196],"LRCISSK":[197],"method":[198],"effectively":[200],"deliver":[206],"superior":[207],"least":[211],"1.30%":[212],"higher":[213,217],"OA":[214],"1.03%":[216],"AA":[218],"average":[220],"when":[221],"compared":[222],"other":[224],"state-of-the-art":[225],"classifiers.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
