{"id":"https://openalex.org/W2890344598","doi":"https://doi.org/10.1109/tgrs.2018.2866054","title":"Reconstruction From Multispectral to Hyperspectral Image Using Spectral Library-Based Dictionary Learning","display_name":"Reconstruction From Multispectral to Hyperspectral Image Using Spectral Library-Based Dictionary Learning","publication_year":2018,"publication_date":"2018-09-14","ids":{"openalex":"https://openalex.org/W2890344598","doi":"https://doi.org/10.1109/tgrs.2018.2866054","mag":"2890344598"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2866054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2866054","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/A5027073630","display_name":"Xiaolin Han","orcid":"https://orcid.org/0000-0001-9721-5371"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Han","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9721-5371","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101579038","display_name":"Jing Yu","orcid":"https://orcid.org/0000-0002-2854-8620"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yu","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2854-8620","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100532279","display_name":"Jiqiang Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210089040","display_name":"Beijing Institute of Optoelectronic Technology","ror":"https://ror.org/0099d6q96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089040"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiqiang Luo","raw_affiliation_strings":["School of Optoelectronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optoelectronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683","https://openalex.org/I4210089040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024318974","display_name":"Weidong Sun","orcid":"https://orcid.org/0000-0002-8931-8407"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Sun","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8931-8407","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8084,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.87089448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"57","issue":"3","first_page":"1325","last_page":"1335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.8692700266838074},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.749310314655304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6929981708526611},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.6337884068489075},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6062373518943787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.604678213596344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5747122764587402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4806422293186188},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47607654333114624},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4735604524612427},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.443334698677063},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.28089386224746704},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0711485743522644}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8692700266838074},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.749310314655304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6929981708526611},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.6337884068489075},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6062373518943787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.604678213596344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5747122764587402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4806422293186188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47607654333114624},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4735604524612427},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.443334698677063},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.28089386224746704},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0711485743522644}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2866054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2866054","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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G3605594444","display_name":null,"funder_award_id":"4172002","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G6100922272","display_name":null,"funder_award_id":"61501008","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W418551857","https://openalex.org/W1522046140","https://openalex.org/W1973234061","https://openalex.org/W1990231296","https://openalex.org/W2002670936","https://openalex.org/W2027878671","https://openalex.org/W2028790650","https://openalex.org/W2033918435","https://openalex.org/W2053081714","https://openalex.org/W2065277358","https://openalex.org/W2067782748","https://openalex.org/W2092116045","https://openalex.org/W2097259623","https://openalex.org/W2100329651","https://openalex.org/W2115549875","https://openalex.org/W2118833492","https://openalex.org/W2120273653","https://openalex.org/W2133665775","https://openalex.org/W2145116938","https://openalex.org/W2160547390","https://openalex.org/W2162842940","https://openalex.org/W2163886442","https://openalex.org/W2164278908","https://openalex.org/W2167799103","https://openalex.org/W2194818953","https://openalex.org/W2295820431","https://openalex.org/W2327302159","https://openalex.org/W2327364376","https://openalex.org/W2328456116","https://openalex.org/W2344404138","https://openalex.org/W2414015982","https://openalex.org/W2511036283","https://openalex.org/W2517036951","https://openalex.org/W2543104593","https://openalex.org/W2548343907","https://openalex.org/W2582956022","https://openalex.org/W2588000623","https://openalex.org/W2601349911","https://openalex.org/W2613653102","https://openalex.org/W2617100983","https://openalex.org/W2625894731","https://openalex.org/W2752716059","https://openalex.org/W2791700545","https://openalex.org/W2963442801","https://openalex.org/W4233760599","https://openalex.org/W4285719527","https://openalex.org/W4292363360","https://openalex.org/W4297931263","https://openalex.org/W6631230401","https://openalex.org/W6677446445"],"related_works":["https://openalex.org/W2018850895","https://openalex.org/W4205174160","https://openalex.org/W2374021060","https://openalex.org/W2024377932","https://openalex.org/W1978077614","https://openalex.org/W2889956472","https://openalex.org/W1982418987","https://openalex.org/W2799746630","https://openalex.org/W4390582117","https://openalex.org/W2020749638"],"abstract_inverted_index":{"High-spatial":[0],"hyperspectral":[1,13,218],"(HH)":[2],"image":[3,10,15,32,35,51,123,155,167,219],"reconstruction":[4,52,74,214],"using":[5,54,142,177,204],"both":[6,220],"high-spatial":[7,217],"multispectral":[8],"(HM)":[9],"and":[11,33,95,191,223],"low-spatial":[12],"(LH)":[14],"over":[16,36,156],"the":[17,28,37,79,88,92,96,109,120,137,143,150,153,157,161,165,171,178,196],"same":[18,38,158],"scene":[19,39],"is":[20,40,62,76,105,134],"widely":[21],"used":[22],"in":[23,64,78,124,221],"many":[24],"real":[25,192],"applications.":[26],"Nevertheless,":[27],"pair":[29],"of":[30,81,87,139,152,164,182,216],"HM":[31,70,166,206],"LH":[34,154],"hard":[41],"to":[42,113,119,170],"obtain.":[43],"To":[44],"solve":[45],"this":[46,65],"problem,":[47],"a":[48,101,114,212],"new":[49],"HH":[50,122],"method":[53,104,133,181,210],"spectral":[55,93,111,116,125,130,140,146,173,224],"library-based":[56],"dictionary":[57,131,141,174],"learning":[58,132],"(named":[59],"as":[60,84],"HIRSL)":[61],"proposed":[63,106,135,209],"paper,":[66],"only":[67,203],"from":[68],"one":[69,205],"image.":[71],"The":[72],"above":[73],"problem":[75],"formulated":[77],"framework":[80],"sparse":[82,97,162],"representation,":[83],"an":[85,128],"estimation":[86],"band":[89,102],"matching":[90,103],"matrix,":[91],"dictionary,":[94],"coefficients.":[98],"More":[99],"specifically,":[100],"for":[107,136],"mapping":[108],"common":[110],"library":[112,117],"specific":[115,145],"corresponding":[118],"reconstructed":[121],"domain.":[126],"Then,":[127],"efficient":[129],"construction":[138],"matched":[144],"library,":[147],"which":[148],"avoids":[149],"dependence":[151],"scene.":[159],"Finally,":[160],"coefficients":[163],"with":[168,195],"respect":[169],"learned":[172],"are":[175],"estimated":[176],"alternating":[179],"direction":[180],"multipliers":[183],"without":[184],"nonnegative":[185],"constraint.":[186],"Comparison":[187],"results":[188],"on":[189],"simulated":[190],"data":[193],"sets":[194],"relative":[197],"state-of-the-art":[198],"methods":[199],"demonstrate":[200],"that":[201],"even":[202],"image,":[207],"our":[208],"achieves":[211],"comparable":[213],"quality":[215],"spatial":[222],"domains.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
