{"id":"https://openalex.org/W2103795196","doi":"https://doi.org/10.1109/lgrs.2010.2040706","title":"Simulation of Low-Resolution Panchromatic Images by Multivariate Linear Regression for Pan-Sharpening IKONOS Imageries","display_name":"Simulation of Low-Resolution Panchromatic Images by Multivariate Linear Regression for Pan-Sharpening IKONOS Imageries","publication_year":2010,"publication_date":"2010-03-02","ids":{"openalex":"https://openalex.org/W2103795196","doi":"https://doi.org/10.1109/lgrs.2010.2040706","mag":"2103795196"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2010.2040706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2010.2040706","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/A5066186298","display_name":"Zhongwu Wang","orcid":"https://orcid.org/0000-0001-9742-5213"},"institutions":[{"id":"https://openalex.org/I4210104879","display_name":"China Land Surveying and Planning Institute","ror":"https://ror.org/01dqnej95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104879"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwu Wang","raw_affiliation_strings":["China Land Surveying and Planning Institute, Beijing, China","China Land Surveying & Planning Inst., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Land Surveying and Planning Institute, Beijing, China","institution_ids":["https://openalex.org/I4210104879"]},{"raw_affiliation_string":"China Land Surveying & Planning Inst., Beijing, China","institution_ids":["https://openalex.org/I4210104879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009865946","display_name":"Shunxi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104879","display_name":"China Land Surveying and Planning Institute","ror":"https://ror.org/01dqnej95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104879"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunxi Liu","raw_affiliation_strings":["China Land Surveying and Planning Institute, Beijing, China","China Land Surveying & Planning Inst., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Land Surveying and Planning Institute, Beijing, China","institution_ids":["https://openalex.org/I4210104879"]},{"raw_affiliation_string":"China Land Surveying & Planning Inst., Beijing, China","institution_ids":["https://openalex.org/I4210104879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101065477","display_name":"Shucheng You","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104879","display_name":"China Land Surveying and Planning Institute","ror":"https://ror.org/01dqnej95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104879"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shucheng You","raw_affiliation_strings":["China Land Surveying and Planning Institute, Beijing, China","China Land Surveying & Planning Inst., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Land Surveying and Planning Institute, Beijing, China","institution_ids":["https://openalex.org/I4210104879"]},{"raw_affiliation_string":"China Land Surveying & Planning Inst., Beijing, China","institution_ids":["https://openalex.org/I4210104879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031729932","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-5625-0338"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University of China, Wuhan, China","State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University of China, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1424,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8926228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":"3","first_page":"515","last_page":"519"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9970999956130981,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9814000129699707,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.9658688306808472},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.779895007610321},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.776130199432373},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.656253457069397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6263927221298218},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5978069305419922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5896593332290649},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5688775777816772},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5256691575050354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4331980347633362},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4326328635215759},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4234815537929535},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40606755018234253},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28580665588378906},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07101520895957947}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9658688306808472},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.779895007610321},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.776130199432373},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.656253457069397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6263927221298218},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5978069305419922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5896593332290649},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5688775777816772},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5256691575050354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4331980347633362},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4326328635215759},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4234815537929535},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40606755018234253},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28580665588378906},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07101520895957947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2010.2040706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2010.2040706","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1978491025","https://openalex.org/W1980200484","https://openalex.org/W2075365818","https://openalex.org/W2106891293","https://openalex.org/W2113181621","https://openalex.org/W2124427022","https://openalex.org/W2163334907","https://openalex.org/W2171108951","https://openalex.org/W2171845746","https://openalex.org/W2187328681","https://openalex.org/W6685078114","https://openalex.org/W6686674134"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W4254327447","https://openalex.org/W2158394102","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2816335205","https://openalex.org/W2022261651","https://openalex.org/W2726689079"],"abstract_inverted_index":{"The":[0,61,116],"extraction":[1],"of":[2,65],"spatial":[3],"details":[4],"is":[5,13,28],"crucial":[6],"for":[7],"fusion":[8,108,132],"quality.":[9,133],"An":[10],"efficient":[11],"way":[12],"to":[14,29,90],"exploit":[15],"the":[16,42,120],"difference":[17],"between":[18],"high-resolution":[19],"panchromatic":[20],"(Pan)":[21],"images":[22],"and":[23,53,76,87,107,127],"low-resolution":[24,37],"Pan":[25],"(LRP),":[26],"which":[27],"be":[30,91],"simulated":[31],"by":[32,83,94],"weighted":[33],"average":[34],"value":[35],"from":[36,69],"multispectral":[38],"images.":[39],"To":[40],"obtain":[41],"weighting":[43],"coefficients":[44,89],"with":[45],"multivariate":[46],"linear":[47],"regression,":[48],"three":[49,103],"issues":[50],"were":[51,56],"discussed,":[52],"corresponding":[54],"solutions":[55],"proposed":[57,62,121],"in":[58],"this":[59],"letter.":[60],"method":[63,122],"consists":[64],"separating":[66],"high-frequency":[67],"pixels":[68,71],"low-frequency":[70],"using":[72,102],"support":[73],"vector":[74],"machine":[75],"selecting":[77],"observations":[78],"that":[79,119],"are":[80,100,110],"evenly":[81],"distributed":[82],"a":[84,130],"bucketing":[85],"technique":[86],"forcing":[88],"sound":[92],"physically":[93],"constrained":[95],"least":[96],"squares.":[97],"Validation":[98],"experiments":[99],"undertaken":[101],"IKONOS":[104],"data":[105],"sets,":[106],"results":[109,117],"compared":[111],"against":[112],"four":[113],"popular":[114],"methods.":[115],"show":[118],"can":[123],"simulate":[124],"LRP":[125],"soundly":[126],"therefore":[128],"achieve":[129],"better":[131]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
