{"id":"https://openalex.org/W2945696115","doi":"https://doi.org/10.1109/tgrs.2019.2913004","title":"Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image","display_name":"Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image","publication_year":2019,"publication_date":"2019-05-14","ids":{"openalex":"https://openalex.org/W2945696115","doi":"https://doi.org/10.1109/tgrs.2019.2913004","mag":"2945696115"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2913004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2913004","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/A5030351224","display_name":"Rong Wang","orcid":"https://orcid.org/0000-0001-9240-6726"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rong Wang","raw_affiliation_strings":["Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, X\u2019ian, China"],"affiliations":[{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, X\u2019ian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["School of Computer Science and the Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and the Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422377","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-8182-2852"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["School of Mechanical Engineering, Northwestern Polytechnical University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035860485","display_name":"Fang He","orcid":"https://orcid.org/0000-0003-0445-2568"},"institutions":[{"id":"https://openalex.org/I4210126638","display_name":"Horological Research Institute of Light Industry","ror":"https://ror.org/031nqzs81","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126638"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang He","raw_affiliation_strings":["Xi\u2019an Research Institute of Hi-Tech, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Research Institute of Hi-Tech, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210126638"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["School of Computer Science and the Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and the Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030351224"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":8.7522,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.97900081,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"57","issue":"10","first_page":"7352","last_page":"7364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9480999708175659,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7069196701049805},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.5440452098846436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5411831736564636},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47476696968078613},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.45617222785949707},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.44464224576950073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43790799379348755},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.42966002225875854},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3993467092514038},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33967894315719604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3143368363380432},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23588910698890686},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17968016862869263}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7069196701049805},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.5440452098846436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5411831736564636},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47476696968078613},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.45617222785949707},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.44464224576950073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43790799379348755},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.42966002225875854},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3993467092514038},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33967894315719604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3143368363380432},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23588910698890686},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17968016862869263},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2019.2913004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2913004","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/G1537487564","display_name":null,"funder_award_id":"61772427","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4820425477","display_name":null,"funder_award_id":"61871470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G653700208","display_name":null,"funder_award_id":"61751202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8252796664","display_name":null,"funder_award_id":"U1803263","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W18701524","https://openalex.org/W1500351990","https://openalex.org/W1532610010","https://openalex.org/W1669104078","https://openalex.org/W1673310716","https://openalex.org/W1826417238","https://openalex.org/W1969076164","https://openalex.org/W1977556410","https://openalex.org/W1986658236","https://openalex.org/W1991576946","https://openalex.org/W2011430131","https://openalex.org/W2013712253","https://openalex.org/W2049299219","https://openalex.org/W2051034476","https://openalex.org/W2051549110","https://openalex.org/W2057624533","https://openalex.org/W2086504823","https://openalex.org/W2089609272","https://openalex.org/W2089731186","https://openalex.org/W2107402227","https://openalex.org/W2108859253","https://openalex.org/W2113076747","https://openalex.org/W2121947440","https://openalex.org/W2124890708","https://openalex.org/W2125118959","https://openalex.org/W2152322845","https://openalex.org/W2155754954","https://openalex.org/W2161494102","https://openalex.org/W2161997479","https://openalex.org/W2165835468","https://openalex.org/W2165874743","https://openalex.org/W2313932751","https://openalex.org/W2554683605","https://openalex.org/W2555332322","https://openalex.org/W2573426660","https://openalex.org/W2598052950","https://openalex.org/W2604983939","https://openalex.org/W2605078373","https://openalex.org/W2735797020","https://openalex.org/W2751449619","https://openalex.org/W2754064832","https://openalex.org/W2762468750","https://openalex.org/W2781745664","https://openalex.org/W2795832645","https://openalex.org/W2899747753","https://openalex.org/W3012080241","https://openalex.org/W4285719527","https://openalex.org/W6629858893","https://openalex.org/W6637131181","https://openalex.org/W6683906321","https://openalex.org/W6684578312","https://openalex.org/W6736218809","https://openalex.org/W6743484365","https://openalex.org/W6775638715"],"related_works":["https://openalex.org/W1482912984","https://openalex.org/W2607797544","https://openalex.org/W2902850141","https://openalex.org/W2197112176","https://openalex.org/W2885900820","https://openalex.org/W1556852487","https://openalex.org/W2964122166","https://openalex.org/W1955548541","https://openalex.org/W2265158691","https://openalex.org/W2032317191"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"clustering":[3,14,62,115,172,185],"is":[4],"very":[5],"important":[6],"in":[7],"remote":[8],"sensing":[9],"applications.":[10],"However,":[11],"most":[12],"graph-based":[13,61,114],"models":[15],"are":[16],"not":[17],"suitable":[18],"for":[19],"dealing":[20],"with":[21,63,112],"large":[22,70],"HSI":[23,194],"due":[24],"to":[25,67,96,176,188],"their":[26],"computational":[27,91],"bottlenecks:":[28],"the":[29,32,36,40,69,84,90,153,165,171,199,204],"construction":[30],"of":[31,39,155,203],"similarity":[33],"matrix":[34,43],"W,":[35],"eigenvalue":[37],"decomposition":[38],"graph":[41,80],"Laplacian":[42],"L,":[44],"and":[45,81,149,160,201],"k-means":[46,177],"or":[47,132,178],"other":[48,179],"discretization":[49,180],"procedures.":[50],"To":[51],"solve":[52],"this":[53],"problem,":[54],"we":[55],"propose":[56],"a":[57],"novel":[58],"approach,":[59],"scalable":[60],"nonnegative":[64,85],"relaxation":[65,86],"(SGCNR),":[66],"cluster":[68],"HSI.":[71],"The":[72],"proposed":[73,205],"SGCNR":[74,166,206],"algorithm":[75,167],"first":[76],"constructs":[77],"an":[78],"anchor":[79],"then":[82],"adds":[83],"term.":[87],"With":[88],"this,":[89],"complexity":[92],"can":[93,168],"be":[94],"reduced":[95],"O(ndlogm":[97],"+":[98,103,105,126,138],"nK":[99],"<sup":[100,107,122,128,134,140],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[101,108,123,129,135,141],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[102,124,130,136],"nKc":[104],"K":[106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[109,142],"),":[110,143],"compared":[111],"traditional":[113,183],"algorithms":[116,186],"that":[117],"need":[118],"at":[119],"least":[120],"O(n":[121,133],"d":[125,137],"n":[127,139],"K)":[131],"where":[144],"n,":[145],"d,":[146],"m,":[147],"K,":[148],"c":[150],"are,":[151],"respectively,":[152],"number":[154],"samples,":[156],"features,":[157],"anchors,":[158],"classes,":[159],"nearest":[161],"neighbors.":[162],"In":[163],"addition,":[164],"directly":[169],"obtain":[170],"indicators,":[173],"without":[174],"resort":[175],"procedures":[181],"as":[182],"graphbased":[184],"have":[187,197],"do.":[189],"Experimental":[190],"results":[191],"on":[192],"several":[193],"data":[195],"sets":[196],"demonstrated":[198],"efficiency":[200],"effectiveness":[202],"algorithm.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}
