{"id":"https://openalex.org/W2087964427","doi":"https://doi.org/10.1109/lgrs.2014.2353135","title":"Fusion of MS and PAN Images Preserving Spectral Quality","display_name":"Fusion of MS and PAN Images Preserving Spectral Quality","publication_year":2014,"publication_date":"2014-09-11","ids":{"openalex":"https://openalex.org/W2087964427","doi":"https://doi.org/10.1109/lgrs.2014.2353135","mag":"2087964427"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2014.2353135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2353135","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/A5017395842","display_name":"Hamid Reza Shahdoosti","orcid":null},"institutions":[{"id":"https://openalex.org/I1516879","display_name":"Tarbiat Modares University","ror":"https://ror.org/03mwgfy56","country_code":"IR","type":"education","lineage":["https://openalex.org/I1516879"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hamid Reza Shahdoosti","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran","Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran","institution_ids":["https://openalex.org/I1516879"]},{"raw_affiliation_string":"Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran","institution_ids":["https://openalex.org/I1516879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040092306","display_name":"Hassan Ghassemian","orcid":"https://orcid.org/0000-0002-2303-1753"},"institutions":[{"id":"https://openalex.org/I1516879","display_name":"Tarbiat Modares University","ror":"https://ror.org/03mwgfy56","country_code":"IR","type":"education","lineage":["https://openalex.org/I1516879"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hassan Ghassemian","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran","Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran","institution_ids":["https://openalex.org/I1516879"]},{"raw_affiliation_string":"Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran","institution_ids":["https://openalex.org/I1516879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017395842"],"corresponding_institution_ids":["https://openalex.org/I1516879"],"apc_list":null,"apc_paid":null,"fwci":16.1306,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.99253561,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"12","issue":"3","first_page":"611","last_page":"615"},"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":0.9972000122070312,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7213295102119446},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.7157531976699829},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6804022192955017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6356655955314636},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.6210171580314636},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5829582810401917},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5150313377380371},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.5019214153289795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48969653248786926},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4319344460964203},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4210105538368225},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3161795735359192},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2167986035346985}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7213295102119446},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7157531976699829},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6804022192955017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6356655955314636},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.6210171580314636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5829582810401917},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5150313377380371},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.5019214153289795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48969653248786926},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4319344460964203},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4210105538368225},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3161795735359192},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2167986035346985},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2014.2353135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2353135","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1975869625","https://openalex.org/W1991460509","https://openalex.org/W2000323021","https://openalex.org/W2042239037","https://openalex.org/W2047455482","https://openalex.org/W2094824638","https://openalex.org/W2106290629","https://openalex.org/W2108291564","https://openalex.org/W2109484841","https://openalex.org/W2111924917","https://openalex.org/W2119077559","https://openalex.org/W2121652279","https://openalex.org/W2136401825","https://openalex.org/W2136530150","https://openalex.org/W2139529730","https://openalex.org/W2143697947","https://openalex.org/W2165651437","https://openalex.org/W2171627515","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/W4248172957","https://openalex.org/W2368671946","https://openalex.org/W2056137412"],"abstract_inverted_index":{"Image":[0],"fusion":[1,22,25,132,159,174],"aims":[2],"at":[3],"improving":[4],"spectral":[5,44,145],"information":[6,45,57,80],"in":[7,33,87,134,143],"a":[8],"fused":[9],"image":[10,61,84,149],"as":[11,13,118,156],"well":[12],"adding":[14],"spatial":[15,42,56],"details":[16],"to":[17,37,40,75],"it.":[18],"Among":[19],"the":[20,28,59,82,99,109,126,131],"existing":[21],"algorithms,":[23],"filter-based":[24],"methods":[26],"are":[27,101],"most":[29],"frequently":[30],"discussed":[31],"cases":[32],"recent":[34],"publications":[35],"due":[36],"their":[38],"ability":[39],"improve":[41],"and":[43,49,62,78,106,121,152,172],"of":[46,98,108,136,175],"multispectral":[47],"(MS)":[48],"panchromatic":[50],"(PAN)":[51],"images.":[52,67],"Filter-based":[53],"approaches":[54],"extract":[55,76],"from":[58,81,95],"PAN":[60,83],"inject":[63],"it":[64],"into":[65],"MS":[66],"Designing":[68],"an":[69],"optimal":[70,91],"filter":[71,92],"that":[72,125],"is":[73,85],"able":[74],"relevant":[77],"nonredundant":[79],"presented":[86],"this":[88],"letter.":[89],"The":[90],"coefficients":[93],"extracted":[94],"statistical":[96,122],"properties":[97],"images":[100,112],"more":[102],"consistent":[103],"with":[104,114,158],"type":[105],"texture":[107],"remotely":[110],"sensed":[111],"compared":[113,157],"other":[115],"kernels":[116],"such":[117],"wavelets.":[119],"Visual":[120],"assessments":[123],"show":[124],"proposed":[127],"algorithm":[128],"clearly":[129],"improves":[130],"quality":[133,150,153],"terms":[135],"correlation":[137],"coefficient,":[138],"relative":[139],"dimensionless":[140],"global":[141],"error":[142],"synthesis,":[144],"angle":[146],"mapper,":[147],"universal":[148],"index,":[151],"without":[154],"reference,":[155],"methods,":[160],"including":[161],"improved":[162,168],"intensity-hue-saturation,":[163],"multiscale":[164],"Kalman":[165],"filter,":[166],"Bayesian,":[167],"nonsubsampled":[169],"contourlet":[170],"transform,":[171],"sparse":[173],"image.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":20},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":6},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}