{"id":"https://openalex.org/W4294691133","doi":"https://doi.org/10.1109/lgrs.2022.3203990","title":"Multilevel Reweighted Sparse Hyperspectral Unmixing Using Superpixel Segmentation and Particle Swarm Optimization","display_name":"Multilevel Reweighted Sparse Hyperspectral Unmixing Using Superpixel Segmentation and Particle Swarm Optimization","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294691133","doi":"https://doi.org/10.1109/lgrs.2022.3203990"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3203990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3203990","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5052162192","display_name":"Yapeng Miao","orcid":"https://orcid.org/0000-0002-8257-0247"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yapeng Miao","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8257-0247","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046815454","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-9762-0788"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9762-0788","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9042,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76973105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9966999888420105,"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":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8627588152885437},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6605113744735718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.633078932762146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.623600959777832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6038433313369751},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5634891390800476},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4871499240398407},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4787568151950836},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4266248345375061},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4225439727306366},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4188607931137085},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24341565370559692}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8627588152885437},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6605113744735718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.633078932762146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.623600959777832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6038433313369751},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5634891390800476},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4871499240398407},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4787568151950836},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4266248345375061},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4225439727306366},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4188607931137085},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24341565370559692},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3203990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3203990","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G791003233","display_name":null,"funder_award_id":"2232020D-33","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8716895156","display_name":null,"funder_award_id":"62001098","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1964570608","https://openalex.org/W2005818237","https://openalex.org/W2032944446","https://openalex.org/W2048976066","https://openalex.org/W2118246710","https://openalex.org/W2127062304","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2604977491","https://openalex.org/W2741786247","https://openalex.org/W2773194520","https://openalex.org/W2792167075","https://openalex.org/W2941302939","https://openalex.org/W2983067685","https://openalex.org/W3015560320","https://openalex.org/W3083760513","https://openalex.org/W3122463936","https://openalex.org/W3155031895","https://openalex.org/W3203164352","https://openalex.org/W3206402020"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W1522196789"],"abstract_inverted_index":{"As":[0],"a":[1,53,130],"representative":[2],"structural":[3],"property,":[4],"the":[5,29,33,38,93,96,103,115,118,126,140,163,168,182],"sparsity":[6,34,145],"of":[7,35,41,99,117,120,143,173],"ground":[8],"covers\u2019":[9],"distribution":[10],"in":[11,23,102,125],"hyperspectral":[12,178],"images":[13],"(HSIs)":[14],"has":[15],"been":[16],"extensively":[17],"applied":[18],"to":[19,43,92,161],"improve":[20],"spectral":[21],"unmixing":[22,48,58,164,169,190],"years.":[24],"It":[25],"is":[26,67,111,134,159],"worth":[27],"leveraging":[28],"close":[30],"relationship":[31],"between":[32],"abundances":[36,101],"and":[37,63,79,95,166,176],"spatial":[39,81],"information":[40],"HSIs":[42],"obtain":[44],"more":[45],"reasonable":[46],"sparse":[47,57,70,132,189],"results.":[49,191],"In":[50],"this":[51],"letter,":[52],"novel":[54],"multi-level":[55],"reweighted":[56,71,87,109],"method":[59,184],"using":[60],"superpixel":[61],"segmentation":[62],"particle":[64,149],"swarm":[65,150],"optimization":[66,151],"proposed.":[68],"Three":[69],"factors":[72,88],"are":[73,89],"finely":[74],"designed":[75],"at":[76],"different":[77],"local":[78,86],"global":[80,108],"levels.":[82],"The":[83,106],"first":[84],"two":[85],"constructed":[90],"according":[91],"sparseness":[94,119],"low-rank":[97],"property":[98],"pixels\u2019":[100],"generated":[104],"superpixels.":[105],"third":[107],"factor":[110],"given":[112],"by":[113],"considering":[114],"change":[116],"each":[121],"material":[122],"abundance":[123],"map":[124],"entire":[127],"HSI.":[128],"Then,":[129],"new":[131],"constraint":[133],"imposed":[135],"which":[136],"can":[137,185],"effectively":[138],"facilitate":[139],"correct":[141],"expression":[142],"abundances\u2019":[144],"during":[146],"unmixing.":[147],"Moreover,":[148],"based":[152],"on":[153],"double":[154],"swarms":[155],"with":[156],"dimension":[157],"division":[158],"employed":[160],"solve":[162],"problem":[165],"enhance":[167],"robustness.":[170],"Experimental":[171],"results":[172],"both":[174],"simulated":[175],"real":[177],"data":[179],"validate":[180],"that":[181],"proposed":[183],"produce":[186],"accurate":[187],"unsupervised":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}