{"id":"https://openalex.org/W2070198028","doi":"https://doi.org/10.1109/jstars.2014.2312887","title":"Robust Locally Weighted Regression for Superresolution Enhancement of Multi-Angle Remote Sensing Imagery","display_name":"Robust Locally Weighted Regression for Superresolution Enhancement of Multi-Angle Remote Sensing Imagery","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2070198028","doi":"https://doi.org/10.1109/jstars.2014.2312887","mag":"2070198028"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2312887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2312887","pdf_url":null,"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":false,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101198662","display_name":"Jianglin Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jianglin Ma","raw_affiliation_strings":["Cartography and GIS Research Group (CGIS), Vrije Universiteit Brussel, Brussels, Belgium","Dept. of Geogr., Vrije Univ. Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cartography and GIS Research Group (CGIS), Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Dept. of Geogr., Vrije Univ. Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047379149","display_name":"Jonathan Cheung-Wai Chan","orcid":"https://orcid.org/0000-0002-3741-1124"},"institutions":[{"id":"https://openalex.org/I103225651","display_name":"Fondazione Edmund Mach","ror":"https://ror.org/0381bab64","country_code":"IT","type":"other","lineage":["https://openalex.org/I103225651"]},{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["IT","NL"],"is_corresponding":false,"raw_author_name":"Jonathan Cheung-Wai Chan","raw_affiliation_strings":["Foxlab Joint CNR-FEM Initiative, Fondazione Edmund Mach, San Michele all'adige (TN), Italy","Dept. of Electron. & Inf. (ETRO), Vrije Univ. Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foxlab Joint CNR-FEM Initiative, Fondazione Edmund Mach, San Michele all'adige (TN), Italy","institution_ids":["https://openalex.org/I103225651"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. (ETRO), Vrije Univ. Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091439710","display_name":"Frank Canters","orcid":"https://orcid.org/0000-0002-5850-9577"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Frank Canters","raw_affiliation_strings":["Cartography and GIS Research Group (CGIS), Vrije Universiteit Brussel, Brussels, Belgium","Dept. of Geogr., Vrije Univ. Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cartography and GIS Research Group (CGIS), Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Dept. of Geogr., Vrije Univ. Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":0.9888,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80786843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"7","issue":"4","first_page":"1357","last_page":"1371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965000152587891,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.7888764142990112},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6393513083457947},{"id":"https://openalex.org/keywords/kernel-regression","display_name":"Kernel regression","score":0.5931562185287476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5434936881065369},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5401202440261841},{"id":"https://openalex.org/keywords/taylor-series","display_name":"Taylor series","score":0.4751819670200348},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.45816972851753235},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4538319706916809},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4263729155063629},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42418184876441956},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4216160178184509},{"id":"https://openalex.org/keywords/local-regression","display_name":"Local regression","score":0.4165463149547577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3693617582321167},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.3142533600330353},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3020457625389099},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2997387647628784},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21022599935531616},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2048262655735016},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.1784965991973877},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11739662289619446}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.7888764142990112},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6393513083457947},{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.5931562185287476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5434936881065369},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5401202440261841},{"id":"https://openalex.org/C158946198","wikidata":"https://www.wikidata.org/wiki/Q131187","display_name":"Taylor series","level":2,"score":0.4751819670200348},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.45816972851753235},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4538319706916809},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4263729155063629},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42418184876441956},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4216160178184509},{"id":"https://openalex.org/C60316415","wikidata":"https://www.wikidata.org/wiki/Q6664520","display_name":"Local regression","level":4,"score":0.4165463149547577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3693617582321167},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3142533600330353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3020457625389099},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2997387647628784},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21022599935531616},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2048262655735016},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.1784965991973877},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11739662289619446},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2014.2312887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2312887","pdf_url":null,"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":false,"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1507924120","https://openalex.org/W1567106668","https://openalex.org/W1971413293","https://openalex.org/W1971552725","https://openalex.org/W1982437503","https://openalex.org/W2004995970","https://openalex.org/W2006262236","https://openalex.org/W2024081693","https://openalex.org/W2051438985","https://openalex.org/W2055225600","https://openalex.org/W2058523468","https://openalex.org/W2067042811","https://openalex.org/W2087380704","https://openalex.org/W2096455981","https://openalex.org/W2098065523","https://openalex.org/W2102621306","https://openalex.org/W2107969161","https://openalex.org/W2115867328","https://openalex.org/W2116002632","https://openalex.org/W2124875329","https://openalex.org/W2125734432","https://openalex.org/W2130444042","https://openalex.org/W2133665775","https://openalex.org/W2134372632","https://openalex.org/W2135063818","https://openalex.org/W2138714160","https://openalex.org/W2146153806","https://openalex.org/W2151659169","https://openalex.org/W2159133800","https://openalex.org/W2167510883","https://openalex.org/W2167635673","https://openalex.org/W2170600821","https://openalex.org/W2472690355","https://openalex.org/W2987004640","https://openalex.org/W3043538212","https://openalex.org/W4241787951","https://openalex.org/W4253016408","https://openalex.org/W6633953318","https://openalex.org/W6684978970","https://openalex.org/W6781412027"],"related_works":["https://openalex.org/W4226316590","https://openalex.org/W2057032881","https://openalex.org/W1942792625","https://openalex.org/W2697282650","https://openalex.org/W4245072902","https://openalex.org/W2151924912","https://openalex.org/W4206876331","https://openalex.org/W4249112797","https://openalex.org/W2077537883","https://openalex.org/W4234788519"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,53],"robust":[4,54],"locally":[5],"weighted":[6],"least-squares":[7],"kernel":[8],"regression":[9],"method":[10,21],"for":[11],"superresolution":[12],"(SR)":[13],"enhancement":[14],"of":[15,27,46],"multi-angle":[16,66,76],"remote":[17,78],"sensing":[18,79],"imagery.":[19],"The":[20,59],"is":[22,35,57,62],"based":[23],"on":[24,50],"the":[25,31,44],"concept":[26],"kernel-based":[28],"regression,":[29],"where":[30],"local":[32],"image":[33],"patch":[34],"approximated":[36],"by":[37],"an":[38],"\\mbiN-term":[39],"Taylor":[40],"series.":[41],"To":[42],"reduce":[43],"impact":[45],"high":[47],"frequency":[48],"noise":[49],"SR":[51],"performance,":[52],"fitting":[55],"procedure":[56],"adopted.":[58],"approach":[60],"proposed":[61],"tested":[63],"with":[64,74],"simulated":[65],"data":[67],"derived":[68],"from":[69],"panchromatic":[70],"WorldView-2":[71,77],"imagery":[72],"and":[73],"real":[75],"images.":[80]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}