{"id":"https://openalex.org/W4385221009","doi":"https://doi.org/10.1109/jstars.2023.3298491","title":"Superpixel-Based Weighted Sparse Regression and Spectral Similarity Constrained for Hyperspectral Unmixing","display_name":"Superpixel-Based Weighted Sparse Regression and Spectral Similarity Constrained for Hyperspectral Unmixing","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385221009","doi":"https://doi.org/10.1109/jstars.2023.3298491"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3298491","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3298491","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10192339.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/ielx7/4609443/9973430/10192339.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035917788","display_name":"Yao Liang","orcid":"https://orcid.org/0009-0007-5961-7004"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Liang","raw_affiliation_strings":["School of Earth Sciences and Engineering and the Jiangsu Province Engineering Research Center of Water Resources and Environment Assessment Using Remote Sensing, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0007-5961-7004","affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering and the Jiangsu Province Engineering Research Center of Water Resources and Environment Assessment Using Remote Sensing, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666272","display_name":"Hengyi Zheng","orcid":"https://orcid.org/0009-0002-0753-4913"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengyi Zheng","raw_affiliation_strings":["School of Earth Sciences and Engineering and the Jiangsu Province Engineering Research Center of Water Resources and Environment Assessment Using Remote Sensing, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0002-0753-4913","affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering and the Jiangsu Province Engineering Research Center of Water Resources and Environment Assessment Using Remote Sensing, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033559148","display_name":"Guoguo Yang","orcid":"https://orcid.org/0000-0002-2412-6789"},"institutions":[{"id":"https://openalex.org/I4210115456","display_name":"Chuzhou University","ror":"https://ror.org/037663q52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115456"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoguo Yang","raw_affiliation_strings":["School of Geographic Information and Tourism, Chuzhou University, Chuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2412-6789","affiliations":[{"raw_affiliation_string":"School of Geographic Information and Tourism, Chuzhou University, Chuzhou, China","institution_ids":["https://openalex.org/I4210115456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA"],"raw_orcid":"https://orcid.org/0000-0001-8354-7500","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019014062","display_name":"Hongjun Su","orcid":"https://orcid.org/0000-0002-8991-8568"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Su","raw_affiliation_strings":["School of Earth Sciences and Engineering and the Jiangsu Province Engineering Research Center of Water Resources and Environment Assessment Using Remote Sensing, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8991-8568","affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering and the Jiangsu Province Engineering Research Center of Water Resources and Environment Assessment Using Remote Sensing, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035917788"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.5449,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84953946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"16","issue":null,"first_page":"6825","last_page":"6842"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9986000061035156,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9943000078201294,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8525592088699341},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6872783899307251},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6314525008201599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6300098299980164},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5630272030830383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.542792022228241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3793857991695404},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20367193222045898},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1696222722530365}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8525592088699341},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6872783899307251},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6314525008201599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6300098299980164},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5630272030830383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.542792022228241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3793857991695404},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20367193222045898},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1696222722530365}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3298491","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3298491","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10192339.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:ef164ffa9f1a4d64a88e2dcd3ad82582","is_oa":true,"landing_page_url":"https://doaj.org/article/ef164ffa9f1a4d64a88e2dcd3ad82582","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 16, Pp 6825-6842 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3298491","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3298491","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10192339.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":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G3103394634","display_name":null,"funder_award_id":"41871220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8830056459","display_name":null,"funder_award_id":"42122008","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385221009.pdf","grobid_xml":"https://content.openalex.org/works/W4385221009.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1873031189","https://openalex.org/W1964570608","https://openalex.org/W1965888395","https://openalex.org/W1976615758","https://openalex.org/W1981166859","https://openalex.org/W2004207873","https://openalex.org/W2005818237","https://openalex.org/W2027878671","https://openalex.org/W2028781966","https://openalex.org/W2037328426","https://openalex.org/W2060147006","https://openalex.org/W2084252873","https://openalex.org/W2101837437","https://openalex.org/W2107861471","https://openalex.org/W2111854674","https://openalex.org/W2118246710","https://openalex.org/W2125298866","https://openalex.org/W2130939260","https://openalex.org/W2156458885","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2340706123","https://openalex.org/W2599811973","https://openalex.org/W2617737158","https://openalex.org/W2741786247","https://openalex.org/W2773194520","https://openalex.org/W2782517596","https://openalex.org/W2792167075","https://openalex.org/W2794145027","https://openalex.org/W2887210918","https://openalex.org/W2898165830","https://openalex.org/W2901888865","https://openalex.org/W2950566305","https://openalex.org/W2976068290","https://openalex.org/W2998142089","https://openalex.org/W3002098459","https://openalex.org/W3031385348","https://openalex.org/W3035015656","https://openalex.org/W3036216071","https://openalex.org/W3043084891","https://openalex.org/W3087931076","https://openalex.org/W3099180803","https://openalex.org/W3111212275","https://openalex.org/W3122463936","https://openalex.org/W3129293716","https://openalex.org/W3136776645","https://openalex.org/W3155031895","https://openalex.org/W3157079672","https://openalex.org/W3162349352","https://openalex.org/W3173771993","https://openalex.org/W3181759169","https://openalex.org/W3198282612","https://openalex.org/W3199351457","https://openalex.org/W4205264201","https://openalex.org/W4206698887","https://openalex.org/W4281395053","https://openalex.org/W4294982766","https://openalex.org/W4319866035"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"With":[0],"the":[1,55,91,97,104,123,139,151],"support":[2],"of":[3,25,67,85,94],"spectral":[4,50,111,120],"libraries,":[5],"sparse":[6,15,47],"unmixing":[7,16,42,140],"techniques":[8],"have":[9],"gradually":[10],"developed.":[11],"However,":[12],"some":[13],"existing":[14],"algorithms":[17],"suffer":[18],"from":[19,72],"problems,":[20,35],"such":[21],"as":[22,130],"insufficient":[23],"utilization":[24],"spatial":[26,79,109],"information":[27,112],"and":[28,49,110,113,146],"sensitivity":[29],"to":[30,63,89,118,134],"noise.":[31,95],"To":[32],"solve":[33],"these":[34],"this":[36],"article":[37],"proposes":[38],"a":[39,58,82,86,115],"novel":[40],"hyperspectral":[41,87],"algorithm,":[43],"called":[44],"superpixel-based":[45],"weighted":[46],"regression":[48],"similarity":[51,116,121],"constrained":[52],"unmixing.":[53],"In":[54],"proposed":[56,152],"method,":[57],"precalculated":[59],"weight":[60],"is":[61,70,128],"introduced":[62],"help":[64],"enhance":[65],"sparsity":[66],"abundances,":[68],"which":[69],"obtained":[71],"coarse":[73],"abundance":[74,157],"estimation.":[75],"It":[76],"also":[77],"maintains":[78],"consistency":[80],"in":[81,103,122,138],"local":[83,105,136],"region":[84,106],"image":[88],"mitigate":[90],"negative":[92],"influence":[93],"Additionally,":[96],"method":[98,133,153],"selects":[99],"optimal":[100],"neighborhood":[101],"pixels":[102],"by":[107],"combining":[108],"constructs":[114],"matrix":[117],"explore":[119],"subspace.":[124],"Meanwhile,":[125],"superpixel":[126],"segmentation":[127],"considered":[129],"an":[131],"auxiliary":[132],"obtain":[135],"regions":[137],"process.":[141],"Experiments":[142],"performed":[143],"on":[144],"synthetic":[145],"real":[147],"data":[148],"demonstrate":[149],"that":[150],"achieves":[154],"more":[155],"accurate":[156],"estimation":[158],"than":[159],"other":[160],"comparison":[161],"algorithms.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}