{"id":"https://openalex.org/W2517364869","doi":"https://doi.org/10.1109/lgrs.2016.2595863","title":"Nonlocal Low-Rank-Based Compressed Sensing for Remote Sensing Image Reconstruction","display_name":"Nonlocal Low-Rank-Based Compressed Sensing for Remote Sensing Image Reconstruction","publication_year":2016,"publication_date":"2016-08-16","ids":{"openalex":"https://openalex.org/W2517364869","doi":"https://doi.org/10.1109/lgrs.2016.2595863","mag":"2517364869"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2016.2595863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2595863","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/A5083273144","display_name":"Jingbo Wei","orcid":"https://orcid.org/0000-0002-1621-4674"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingbo Wei","raw_affiliation_strings":["Institute of Space Science and Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Space Science and Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101841119","display_name":"Yukun Huang","orcid":"https://orcid.org/0000-0002-3039-3437"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Huang","raw_affiliation_strings":["Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072833759","display_name":"Ke L\u00fc","orcid":"https://orcid.org/0000-0003-0176-3088"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lu","raw_affiliation_strings":["College of Engineering and Information Technology, University of the Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Information Technology, University of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009116003","display_name":"Lizhe Wang","orcid":"https://orcid.org/0000-0003-2766-0845"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhe Wang","raw_affiliation_strings":["School of Computer Science, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2766-0845","affiliations":[{"raw_affiliation_string":"School of Computer Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6734,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.96312571,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"10","first_page":"1557","last_page":"1561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9988999962806702,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9977999925613403,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7948300838470459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6829129457473755},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6657907366752625},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6579274535179138},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5883554220199585},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5744978189468384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5337347388267517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5316869020462036},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.48122406005859375},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.46028628945350647},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.45244118571281433},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4312676787376404},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.41795340180397034},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.4073161482810974},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.404804527759552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18748632073402405},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1650538444519043}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7948300838470459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6829129457473755},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6657907366752625},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6579274535179138},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5883554220199585},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5744978189468384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5337347388267517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5316869020462036},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.48122406005859375},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.46028628945350647},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.45244118571281433},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4312676787376404},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.41795340180397034},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.4073161482810974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.404804527759552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18748632073402405},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1650538444519043},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2016.2595863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2595863","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G2846680537","display_name":null,"funder_award_id":"41571413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3320427271","display_name":null,"funder_award_id":"61271435","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G577996736","display_name":null,"funder_award_id":"4141003","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"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":12,"referenced_works":["https://openalex.org/W1995889410","https://openalex.org/W2014311222","https://openalex.org/W2018990310","https://openalex.org/W2020741214","https://openalex.org/W2045737896","https://openalex.org/W2098621703","https://openalex.org/W2127271355","https://openalex.org/W2163334907","https://openalex.org/W2165651437","https://openalex.org/W2289917018","https://openalex.org/W6674636643","https://openalex.org/W6684197827"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W2116854923","https://openalex.org/W4312766348","https://openalex.org/W2158224665","https://openalex.org/W4233939244","https://openalex.org/W2066589291"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,51,54,101],"image":[2,23,44,55],"reconstruction":[3],"from":[4,29,108],"undersampled":[5],"data":[6,19],"is":[7,91,103],"very":[8],"much":[9],"required":[10],"by":[11,66,93],"the":[12,68],"onboard":[13],"imaging":[14],"system":[15],"to":[16,80,116],"cut":[17],"down":[18],"volume":[20],"and":[21,36,58,113,127],"maintain":[22],"quality.":[24],"Nonlocal":[25],"low-rank":[26,49,89],"regularization":[27,90],"deriving":[28],"group":[30,81],"sparsity,":[31],"low":[32],"rank,":[33],"singular-value":[34],"thresholding,":[35],"nonconvex":[37],"surrogate":[38],"functions":[39],"have":[40],"recently":[41],"emerged":[42],"for":[43,52],"recovery.":[45],"To":[46],"use":[47],"nonlocal":[48,82],"compressed":[50,100],"remote":[53],"reconstruction,":[56],"spectral":[57],"temporal":[59],"redundancy":[60],"are":[61],"considered":[62],"in":[63,124],"this":[64],"letter":[65],"utilizing":[67],"similarity":[69],"of":[70,88],"correlated":[71],"bands":[72],"or":[73],"historical":[74],"records.":[75],"Prior":[76],"structural":[77],"knowledge":[78],"helps":[79],"similar":[83],"blocks":[84],"more":[85],"accurately.":[86],"Oversmoothness":[87],"improved":[92],"injecting":[94],"referenced":[95],"structures":[96],"selectively.":[97],"The":[98],"proposed":[99],"method":[102],"tested":[104],"on":[105],"satellite":[106],"images":[107],"MODIS,":[109],"LandSat-7,":[110],"LandSat-8,":[111],"IKONOS,":[112],"Google":[114],"Earth":[115],"make":[117],"clear":[118],"that":[119],"it":[120],"outweighs":[121],"state-of-the-art":[122],"methods":[123],"maintaining":[125],"fidelity":[126],"high":[128],"visual":[129],"details.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}