{"id":"https://openalex.org/W4407591240","doi":"https://doi.org/10.1109/jstars.2025.3541257","title":"A New Fast Sparse Unmixing Algorithm Based on Adaptive Spectral Library Pruning and Nesterov Optimization","display_name":"A New Fast Sparse Unmixing Algorithm Based on Adaptive Spectral Library Pruning and Nesterov Optimization","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407591240","doi":"https://doi.org/10.1109/jstars.2025.3541257"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3541257","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3541257","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/jstars.2025.3541257","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076778682","display_name":"Kewen Qu","orcid":"https://orcid.org/0000-0001-5532-4107"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kewen Qu","raw_affiliation_strings":["School of Computer Science and Engineering, North Minzu University, Yinchuan, China"],"raw_orcid":"https://orcid.org/0000-0001-5532-4107","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, North Minzu University, Yinchuan, China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103169870","display_name":"Fangzhou Luo","orcid":"https://orcid.org/0000-0002-4290-0053"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangzhou Luo","raw_affiliation_strings":["School of Computer Science and Engineering, North Minzu University, Yinchuan, China"],"raw_orcid":"https://orcid.org/0000-0002-4290-0053","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, North Minzu University, Yinchuan, China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113871497","display_name":"Huiyang Wang","orcid":"https://orcid.org/0009-0000-8230-8997"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyang Wang","raw_affiliation_strings":["School of Computer Science and Engineering, North Minzu University, Yinchuan, China"],"raw_orcid":"https://orcid.org/0009-0000-8230-8997","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, North Minzu University, Yinchuan, China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046538842","display_name":"Wenxing Bao","orcid":"https://orcid.org/0000-0002-0267-5824"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxing Bao","raw_affiliation_strings":["School of Computer Science and Engineering, North Minzu University, Yinchuan, China"],"raw_orcid":"https://orcid.org/0000-0002-0267-5824","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, North Minzu University, Yinchuan, China","institution_ids":["https://openalex.org/I3019309368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3019309368"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":20.7218,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.9910087,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"18","issue":null,"first_page":"6134","last_page":"6151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.921500027179718,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.921500027179718,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490535140037537},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5481992363929749},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5325761437416077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3692575693130493},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34859058260917664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490535140037537},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5481992363929749},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5325761437416077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3692575693130493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34859058260917664},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3541257","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3541257","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:6e0c72d6a5f84cb98cfcf98271f1cb9b","is_oa":true,"landing_page_url":"https://doaj.org/article/6e0c72d6a5f84cb98cfcf98271f1cb9b","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 18, Pp 6134-6151 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3541257","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3541257","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[],"awards":[{"id":"https://openalex.org/G254982545","display_name":null,"funder_award_id":"62461001","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1964570608","https://openalex.org/W2016546886","https://openalex.org/W2032944446","https://openalex.org/W2049418899","https://openalex.org/W2060147006","https://openalex.org/W2063069198","https://openalex.org/W2087263574","https://openalex.org/W2095343758","https://openalex.org/W2116776498","https://openalex.org/W2125298866","https://openalex.org/W2129569662","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2165755981","https://openalex.org/W2406093411","https://openalex.org/W2566771666","https://openalex.org/W2617737158","https://openalex.org/W2773194520","https://openalex.org/W2893348249","https://openalex.org/W2898165830","https://openalex.org/W2901315875","https://openalex.org/W3007194108","https://openalex.org/W3024375667","https://openalex.org/W3080476437","https://openalex.org/W3092436149","https://openalex.org/W3164794619","https://openalex.org/W3189754131","https://openalex.org/W3206058291","https://openalex.org/W3208801491","https://openalex.org/W3217417870","https://openalex.org/W4205264201","https://openalex.org/W4211109387","https://openalex.org/W4225883632","https://openalex.org/W4250589301","https://openalex.org/W4290852073","https://openalex.org/W4292363360","https://openalex.org/W4312387411","https://openalex.org/W4319663720","https://openalex.org/W4320008764","https://openalex.org/W4323914577","https://openalex.org/W4362714787","https://openalex.org/W4376481124","https://openalex.org/W4385221009","https://openalex.org/W4386043801","https://openalex.org/W4386432198","https://openalex.org/W4388101119","https://openalex.org/W4389104914","https://openalex.org/W4389633705","https://openalex.org/W4391033652","https://openalex.org/W4391942910","https://openalex.org/W4393207062","https://openalex.org/W4399728165","https://openalex.org/W4401413685","https://openalex.org/W6645574793","https://openalex.org/W6761030284"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0,98,224],"recent":[1],"years,":[2],"hyperspectral":[3,214],"sparse":[4,78,125],"unmixing":[5,48,79,111,120,195,215,242],"(HSU)":[6],"has":[7],"garnered":[8],"extensive":[9],"research":[10],"and":[11,25,32,46,58,92,107,112,167,184,209,274,289],"attention":[12],"due":[13],"to":[14,42,140,158,226,251],"its":[15],"unique":[16],"characteristic":[17],"of":[18,23,35,61,230,256,291],"not":[19],"requiring":[20,135],"the":[21,29,36,51,56,93,118,130,143,148,160,164,169,172,180,193,199,206,211,219,228,231,240,253,265,286,292],"estimation":[22],"endmembers":[24,170,176],"their":[26],"number.":[27],"However,":[28],"high":[30,287],"coherence":[31],"large-scale":[33],"nature":[34],"prior":[37],"spectral":[38,88,133,173,181],"library":[39,89,182],"frequently":[40],"lead":[41],"substantial":[43],"computational":[44],"costs":[45],"limited":[47],"accuracy":[49],"in":[50,63,117,171,192,205],"optimization":[52,96,126],"model,":[53],"thereby":[54],"hindering":[55],"efficiency":[57,263,288],"further":[59],"promotion":[60],"HSU":[62,101],"practical":[64],"engineering":[65],"applications.":[66],"To":[67],"address":[68],"these":[69],"shortcomings,":[70],"this":[71,99],"article":[72],"proposes":[73],"a":[74,124,137,186],"new":[75],"fast":[76,95,246],"two-step":[77],"algorithm,":[80],"called":[81],"NeSU-LP,":[82],"which":[83],"is":[84,102,156,237,249],"based":[85,128,217],"on":[86,129,218,271],"adaptive":[87],"pruning":[90],"technology":[91],"Nesterov":[94,245],"strategy.":[97],"method,":[100],"divided":[103],"into":[104],"two":[105],"independent":[106],"consecutive":[108],"subprocesses:":[109],"coarse":[110,119],"fine":[113,194,213,241,257],"unmixing.":[114],"Specially,":[115],"first,":[116],"stage,":[121],"we":[122,197],"design":[123,210],"model":[127,216],"initial":[131],"large":[132],"library,":[134],"only":[136],"few":[138],"iterations":[139],"initially":[141],"estimate":[142],"row-sparse":[144],"abundance":[145,165,202,232],"matrix.":[146,190,223],"Subsequently,":[147],"proposed":[149,293],"atomic":[150,201],"(i.e.,":[151],"endmember)":[152],"activity":[153],"evaluation":[154],"method":[155],"utilized":[157],"screen":[159],"active":[161],"endmembers,":[162],"analyze":[163],"matrix,":[166],"prune":[168],"library.":[174],"Irrelevant":[175],"are":[177],"removed,":[178],"reducing":[179],"size":[183],"generating":[185],"low-coherence,":[187],"small-scale":[188,221],"endmember":[189,222],"Finally,":[191],"process,":[196],"retain":[198],"effective":[200],"rows":[203],"obtained":[204],"previous":[207],"stage":[208],"final":[212],"pruned,":[220],"addition,":[225],"enhance":[227],"smoothness":[229],"maps,":[233],"graph":[234],"Laplacian":[235],"regularization":[236],"introduced":[238],"during":[239],"stage.":[243],"The":[244,282],"gradient":[247],"strategy":[248],"employed":[250],"accelerate":[252],"iterative":[254],"process":[255],"unmixing,":[258],"ultimately":[259],"achieving":[260],"second-order":[261],"convergence":[262],"for":[264],"algorithm.":[266],"Numerous":[267],"experiments":[268],"were":[269],"conducted":[270],"both":[272],"synthetic":[273],"real":[275],"datasets,":[276],"comparing":[277],"them":[278],"with":[279],"state-of-the-art":[280],"methods.":[281],"experimental":[283],"results":[284],"demonstrate":[285],"advancement":[290],"method.":[294]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}