{"id":"https://openalex.org/W2601195718","doi":"https://doi.org/10.1109/tgrs.2017.2675961","title":"A Joint Sparse and Low-Rank Decomposition for Pansharpening of Multispectral Images","display_name":"A Joint Sparse and Low-Rank Decomposition for Pansharpening of Multispectral Images","publication_year":2017,"publication_date":"2017-03-24","ids":{"openalex":"https://openalex.org/W2601195718","doi":"https://doi.org/10.1109/tgrs.2017.2675961","mag":"2601195718"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2017.2675961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2017.2675961","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/A5090531606","display_name":"Haitao Yin","orcid":"https://orcid.org/0000-0003-2975-2188"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haitao Yin","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2975-2188","affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090531606"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.5296,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.9061145,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"55","issue":"6","first_page":"3545","last_page":"3557"},"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":0.9986000061035156,"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":0.998199999332428,"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/panchromatic-film","display_name":"Panchromatic film","score":0.9305276274681091},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8325384259223938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7136719226837158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.667724072933197},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6473890542984009},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6433051824569702},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5863560438156128},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5310127139091492},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4850960969924927},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4429508447647095},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4268922209739685},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4254133701324463},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4238613545894623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20575445890426636},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07102516293525696}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9305276274681091},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8325384259223938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7136719226837158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.667724072933197},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6473890542984009},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6433051824569702},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5863560438156128},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5310127139091492},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4850960969924927},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4429508447647095},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4268922209739685},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4254133701324463},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4238613545894623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20575445890426636},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07102516293525696},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2017.2675961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2017.2675961","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":[],"awards":[{"id":"https://openalex.org/G5603086416","display_name":null,"funder_award_id":"NY214070","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"},{"id":"https://openalex.org/G8919290989","display_name":null,"funder_award_id":"61501255","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/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1522046140","https://openalex.org/W1583106483","https://openalex.org/W1654063000","https://openalex.org/W1736339626","https://openalex.org/W1944540851","https://openalex.org/W1974042113","https://openalex.org/W1974745581","https://openalex.org/W1977273448","https://openalex.org/W1994040806","https://openalex.org/W2014316959","https://openalex.org/W2015380729","https://openalex.org/W2016520216","https://openalex.org/W2022075948","https://openalex.org/W2065757249","https://openalex.org/W2068985111","https://openalex.org/W2081477191","https://openalex.org/W2087036095","https://openalex.org/W2088538848","https://openalex.org/W2100329651","https://openalex.org/W2103972604","https://openalex.org/W2106891293","https://openalex.org/W2111654093","https://openalex.org/W2111924917","https://openalex.org/W2123046940","https://openalex.org/W2124743705","https://openalex.org/W2129953395","https://openalex.org/W2144436897","https://openalex.org/W2145962650","https://openalex.org/W2149720806","https://openalex.org/W2150630348","https://openalex.org/W2152254169","https://openalex.org/W2155006923","https://openalex.org/W2159269332","https://openalex.org/W2160344148","https://openalex.org/W2163334907","https://openalex.org/W2163677711","https://openalex.org/W2164278908","https://openalex.org/W2164306391","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2171627515","https://openalex.org/W2171845746","https://openalex.org/W2172185514","https://openalex.org/W2289534791","https://openalex.org/W2293262472","https://openalex.org/W2321571021","https://openalex.org/W4292363360","https://openalex.org/W6623043969","https://openalex.org/W6631230401","https://openalex.org/W6685078114","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W2158394102","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W2011962637","https://openalex.org/W2163677711","https://openalex.org/W2036727360"],"abstract_inverted_index":{"Pansharpening":[0],"aims":[1],"to":[2,21],"fuse":[3],"a":[4,10,65,79,84,109],"high-resolution":[5],"panchromatic":[6],"(PAN)":[7],"image":[8],"and":[9,38,68,128,159],"low-resolution":[11],"multispectral":[12],"(MS)":[13],"image.":[14],"Several":[15],"synthesis":[16],"techniques":[17],"have":[18,78],"been":[19],"reported":[20],"solve":[22],"the":[23,32,48,55,102,118,121,126,132,139,143,156],"problem":[24],"of":[25,31,35,112,145],"pansharpening.":[26],"Details":[27],"injection":[28],"(DI)":[29],"consists":[30],"cascaded":[33],"processes":[34],"details":[36,105],"extraction":[37],"injection.":[39],"The":[40],"former":[41],"is":[42,89,123,147],"crucial":[43],"for":[44],"performance.":[45],"By":[46],"exploiting":[47],"relationship":[49],"among":[50],"multiple":[51,76],"data":[52,77,158],"acquired":[53],"on":[54,92,125,155],"same":[56],"scene":[57],"through":[58],"different":[59],"sensors,":[60],"this":[61],"paper":[62],"first":[63],"develops":[64],"joint":[66],"sparse":[67],"low-rank":[69,81,119],"(JSLR)":[70],"decomposition":[71],"with":[72,151],"an":[73],"assumption":[74],"that":[75],"common":[80],"component.":[82],"Then,":[83],"novel":[85],"DI-type":[86],"pansharpening":[87,98],"method":[88],"proposed":[90],"based":[91],"JSLR":[93,113,122],"decomposition,":[94],"named":[95],"as":[96,108],"JSLR-based":[97],"(JSLRP).":[99],"In":[100],"JSLRP,":[101],"injected":[103],"spatial":[104],"are":[106],"calculated":[107],"linear":[110],"combination":[111],"decomposed":[114],"components.":[115],"To":[116],"ensure":[117],"condition,":[120],"implemented":[124],"PAN":[127],"MS":[129],"images":[130],"in":[131],"nonlocal":[133,140],"similar":[134],"patches":[135],"form":[136],"by":[137,149],"adopting":[138],"self-similarity.":[141],"Finally,":[142],"superiority":[144],"JSLRP":[146],"demonstrated":[148],"comparing":[150],"several":[152],"well-known":[153],"methods":[154],"reduced-scale":[157],"full-scale":[160],"data.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
