{"id":"https://openalex.org/W2034212924","doi":"https://doi.org/10.1109/lgrs.2014.2324817","title":"Pansharpening Using Regression of Classified MS and Pan Images to Reduce Color Distortion","display_name":"Pansharpening Using Regression of Classified MS and Pan Images to Reduce Color Distortion","publication_year":2014,"publication_date":"2014-06-03","ids":{"openalex":"https://openalex.org/W2034212924","doi":"https://doi.org/10.1109/lgrs.2014.2324817","mag":"2034212924"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2014.2324817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2324817","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/A5103190126","display_name":"Qizhi Xu","orcid":"https://orcid.org/0000-0002-0136-4418"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qizhi Xu","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technologies and Systems and the Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China","[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technologies and Systems and the Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639305","display_name":"Yun Zhang","orcid":"https://orcid.org/0000-0003-4367-8674"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yun Zhang","raw_affiliation_strings":["Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, NB, Canada","Department of Geodesy and Geomatics Engineering , University of New Brunswick , Fredericton, NB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"Department of Geodesy and Geomatics Engineering , University of New Brunswick , Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100758169","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-5980-4861"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technologies and Systems and the Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China","[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technologies and Systems and the Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100782030","display_name":"Lin Ding","orcid":"https://orcid.org/0000-0003-1233-1897"},"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"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ding","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","Inst. of Remote Sensing & Digital Earth, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Inst. of Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.046,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95389774,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"1","first_page":"28","last_page":"32"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9975000023841858,"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":0.9948999881744385,"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":0.9669484496116638},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7841721773147583},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.769685685634613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.599200963973999},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5171439051628113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5096571445465088},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5050480961799622},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4995584487915039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43212541937828064},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34130221605300903}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9669484496116638},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7841721773147583},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.769685685634613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.599200963973999},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5171439051628113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5096571445465088},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5050480961799622},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4995584487915039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43212541937828064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34130221605300903},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2014.2324817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2324817","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":[],"funders":[{"id":"https://openalex.org/F4320320994","display_name":"Canada Research Chairs","ror":"https://ror.org/0517h6h17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W106317687","https://openalex.org/W1654063000","https://openalex.org/W1847415419","https://openalex.org/W1977556410","https://openalex.org/W2051371471","https://openalex.org/W2071075212","https://openalex.org/W2098621703","https://openalex.org/W2109484841","https://openalex.org/W2111924917","https://openalex.org/W2123046940","https://openalex.org/W2124743705","https://openalex.org/W2139529730","https://openalex.org/W2149720806","https://openalex.org/W2153731472","https://openalex.org/W2156484002","https://openalex.org/W2163334907","https://openalex.org/W2165651437","https://openalex.org/W2171108951","https://openalex.org/W4285719527","https://openalex.org/W6604338981","https://openalex.org/W6674636643","https://openalex.org/W6682892499","https://openalex.org/W6684197827"],"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":{"The":[0,21],"synthesis":[1],"of":[2,11,24,43,59,88,119],"low-resolution":[3,48],"panchromatic":[4],"(Pan)":[5],"image":[6,50,76],"is":[7,110],"a":[8,27,56,73,78],"critical":[9],"step":[10],"ratio":[12],"enhancement":[13],"(RE)":[14],"and":[15,32,77,90,106],"component":[16],"substitution":[17],"(CS)":[18],"pansharpening":[19],"methods.":[20],"two":[22],"types":[23],"methods":[25],"assume":[26],"linear":[28],"relation":[29],"between":[30,72],"Pan":[31,49,75,80,89],"multispectral":[33],"(MS)":[34],"images.":[35],"However,":[36],"due":[37],"to":[38,112],"the":[39,46,86,125],"nonlinear":[40],"spectral":[41],"response":[42],"satellite":[44],"sensors,":[45],"qualified":[47],"cannot":[51],"be":[52],"well":[53],"approximated":[54],"by":[55,98],"weighted":[57],"summation":[58,114],"MS":[60,91],"bands.":[61],"Therefore,":[62],"in":[63],"some":[64],"local":[65],"areas,":[66],"significant":[67,130],"gray":[68],"value":[69],"difference":[70],"exists":[71],"synthetic":[74],"high-resolution":[79],"image.":[81],"To":[82],"tackle":[83],"this":[84],"problem,":[85],"pixels":[87],"images":[92],"are":[93],"divided":[94],"into":[95],"several":[96],"classes":[97],"<inline-formula":[99],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[100],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[101],"<tex-math":[102],"notation=\"TeX\">$k$</tex-math></inline-formula>":[103],"-means":[104],"algorithm,":[105],"then":[107],"multiple":[108],"regression":[109],"used":[111],"calculate":[113],"weights":[115],"on":[116,132],"each":[117],"group":[118],"pixels.":[120],"Experimental":[121],"results":[122],"demonstrate":[123],"that":[124],"proposed":[126],"technique":[127],"can":[128],"provide":[129],"improvements":[131],"reducing":[133],"color":[134],"distortion.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
