{"id":"https://openalex.org/W3149942599","doi":"https://doi.org/10.1109/jstars.2021.3069574","title":"A Sparse Topic Relaxion and Group Clustering Model for Hyperspectral Unmixing","display_name":"A Sparse Topic Relaxion and Group Clustering Model for Hyperspectral Unmixing","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3149942599","doi":"https://doi.org/10.1109/jstars.2021.3069574","mag":"3149942599"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2021.3069574","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3069574","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09390184.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09390184.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079862010","display_name":"Qiqi Zhu","orcid":"https://orcid.org/0000-0002-5339-0829"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Zhu","raw_affiliation_strings":["High-performance Spatial Computational Intelligence Lab, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5339-0829","affiliations":[{"raw_affiliation_string":"High-performance Spatial Computational Intelligence Lab, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348978","display_name":"Linlin Wang","orcid":"https://orcid.org/0000-0001-9619-2577"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Wang","raw_affiliation_strings":["High-performance Spatial Computational Intelligence Lab, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High-performance Spatial Computational Intelligence Lab, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114832354","display_name":"Wen Zeng","orcid":"https://orcid.org/0000-0002-1550-7926"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zeng","raw_affiliation_strings":["High-performance Spatial Computational Intelligence Lab, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High-performance Spatial Computational Intelligence Lab, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063647157","display_name":"Qingfeng Guan","orcid":"https://orcid.org/0000-0002-7392-3709"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingfeng Guan","raw_affiliation_strings":["High-performance Spatial Computational Intelligence Lab, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7392-3709","affiliations":[{"raw_affiliation_string":"High-performance Spatial Computational Intelligence Lab, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110886976","display_name":"Zhen Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Hu","raw_affiliation_strings":["High-performance Spatial Computational Intelligence Lab, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High-performance Spatial Computational Intelligence Lab, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.7475,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73764212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":null,"first_page":"4014","last_page":"4027"},"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":0.9922999739646912,"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":0.983299970626831,"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":0.9136550426483154},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.8593990802764893},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6805859208106995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6696954965591431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5483338832855225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5433921813964844},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.44631582498550415},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4151664972305298},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32590657472610474}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9136550426483154},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.8593990802764893},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6805859208106995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6696954965591431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5483338832855225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5433921813964844},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.44631582498550415},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4151664972305298},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32590657472610474}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2021.3069574","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3069574","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09390184.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d944df572b614ed0886667a92d00ef64","is_oa":true,"landing_page_url":"https://doaj.org/article/d944df572b614ed0886667a92d00ef64","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4014-4027 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2021.3069574","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3069574","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09390184.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G336782516","display_name":null,"funder_award_id":"2018010401011293","funder_id":"https://openalex.org/F4320326832","funder_display_name":"State Key Laboratory of Resources and Environmental Information System"},{"id":"https://openalex.org/G6674607238","display_name":null,"funder_award_id":"41901306","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/F4320326832","display_name":"State Key Laboratory of Resources and Environmental Information System","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3149942599.pdf","grobid_xml":"https://content.openalex.org/works/W3149942599.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1531818640","https://openalex.org/W1755724306","https://openalex.org/W1880262756","https://openalex.org/W1964570608","https://openalex.org/W1974490937","https://openalex.org/W1977556410","https://openalex.org/W1981939910","https://openalex.org/W1995450389","https://openalex.org/W2000258075","https://openalex.org/W2009576740","https://openalex.org/W2016546886","https://openalex.org/W2032944446","https://openalex.org/W2061280223","https://openalex.org/W2063790512","https://openalex.org/W2081555128","https://openalex.org/W2087263574","https://openalex.org/W2092363223","https://openalex.org/W2095343758","https://openalex.org/W2098047130","https://openalex.org/W2099703033","https://openalex.org/W2103442517","https://openalex.org/W2108859253","https://openalex.org/W2116720609","https://openalex.org/W2118718620","https://openalex.org/W2119317657","https://openalex.org/W2125298866","https://openalex.org/W2127062304","https://openalex.org/W2134328014","https://openalex.org/W2134731454","https://openalex.org/W2135029798","https://openalex.org/W2157321686","https://openalex.org/W2162328319","https://openalex.org/W2163721270","https://openalex.org/W2163886442","https://openalex.org/W2167810193","https://openalex.org/W2174706414","https://openalex.org/W2185164352","https://openalex.org/W2295820431","https://openalex.org/W2342880667","https://openalex.org/W2738563291","https://openalex.org/W2760901445","https://openalex.org/W2766836613","https://openalex.org/W2789784903","https://openalex.org/W2792897399","https://openalex.org/W2806966882","https://openalex.org/W2809306703","https://openalex.org/W2886031712","https://openalex.org/W2911419410","https://openalex.org/W2936265303","https://openalex.org/W2969394213","https://openalex.org/W3015126059","https://openalex.org/W3028000844","https://openalex.org/W3028040906","https://openalex.org/W3101195009","https://openalex.org/W3106244377","https://openalex.org/W3143596294","https://openalex.org/W4231510805","https://openalex.org/W4233760599","https://openalex.org/W6623043969","https://openalex.org/W6639619044","https://openalex.org/W6674471310","https://openalex.org/W6677759377","https://openalex.org/W6680012447","https://openalex.org/W6684751948"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W3106536224","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827","https://openalex.org/W2315521504","https://openalex.org/W2773863718"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1,153,171],"(HU)":[2],"has":[3,34],"been":[4,35],"a":[5,76],"hot":[6],"research":[7],"topic":[8,24,52,78,99],"in":[9,54],"the":[10,19,22,28,49,67,70,91,97,106,110,116,120,123,126,128,142,149,152,162,165,180,184,188,205,210],"field":[11],"of":[12,21,31,51,69,109,119,125,132,151,164,183,209],"hyperspectral":[13,32,202],"remote":[14],"sensing.":[15],"In":[16,89],"recent":[17],"years,":[18],"employment":[20],"probabilistic":[23],"model":[25,83,100,111],"to":[26,46,114,160,178],"acquire":[27],"latent":[29],"topics":[30],"images":[33],"an":[36],"effective":[37],"method":[38],"for":[39,84],"spectral":[40,130],"unmixing.":[41],"However,":[42],"such":[43],"methods":[44],"fail":[45],"fully":[47],"exploit":[48],"potential":[50],"models":[53,172],"uncovering":[55],"image":[56],"semantics,":[57],"and":[58,80,138,168,198,207],"they":[59],"need":[60],"extra":[61],"sparsity":[62],"constraints,":[63],"which":[64,103],"greatly":[65],"increases":[66],"complexity":[68],"model.":[71],"To":[72],"solve":[73],"these":[74],"problems,":[75],"sparse":[77,92,98,107],"relaxion":[79],"group":[81],"clustering":[82,157],"HU":[85],"(STRGC)":[86],"is":[87,158],"proposed.":[88],"STRGC,":[90],"prior":[93],"constraints":[94],"implied":[95],"by":[96,145],"are":[101,112,176],"introduced,":[102],"means":[104],"that":[105],"characteristics":[108,175],"used":[113,159],"capture":[115],"semantic":[117],"representation":[118],"spectrum.":[121],"Through":[122],"relaxation":[124],"model,":[127,185],"possible":[129],"representations":[131],"ground":[133],"features":[134],"can":[135],"be":[136],"obtained,":[137],"this":[139],"further":[140],"alleviates":[141],"influence":[143],"caused":[144],"endmember":[146,166],"variability":[147],"on":[148],"accuracy":[150],"process.":[154],"Then,":[155],"fuzzy":[156],"locate":[161],"position":[163],"quickly":[167],"accurately.":[169],"Furthermore,":[170],"with":[173,194],"different":[174],"united":[177],"alleviate":[179],"ill-posed":[181],"nature":[182],"thereby":[186],"improving":[187],"fractional":[189],"abundance.":[190],"Experimental":[191],"results":[192],"obtained":[193],"one":[195],"simulated":[196],"dataset":[197],"three":[199],"well-known":[200],"real":[201],"datasets":[203],"confirm":[204],"effectiveness":[206],"advantages":[208],"proposed":[211],"method.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}