{"id":"https://openalex.org/W4386495264","doi":"https://doi.org/10.1109/tgrs.2023.3309863","title":"Multispectral Image Pan-Sharpening Guided by Component Substitution Model","display_name":"Multispectral Image Pan-Sharpening Guided by Component Substitution Model","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386495264","doi":"https://doi.org/10.1109/tgrs.2023.3309863"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3309863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3309863","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/A5002807773","display_name":"Huiling Gao","orcid":"https://orcid.org/0000-0002-2642-5221"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiling Gao","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the College of Electrical and Information Engineering, Hunan University, Changsha, China","College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2642-5221","affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the College of Electrical and Information Engineering, Hunan University, Changsha, China","College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Geo-Information Processing and the School of Computer Science, China University of Geosciences, Wuhan, China","School of Computer Science, China University of Geosciences, Wuhan, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-1613-9448","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Geo-Information Processing and the School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, P. R. China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026156663","display_name":"Renwei Dian","orcid":"https://orcid.org/0000-0001-9197-6292"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renwei Dian","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the School of Robotics, Hunan University, Changsha, China","School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9197-6292","affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province and the School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8692,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87368243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"13"},"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":0.9962000250816345,"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":0.9948999881744385,"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/multispectral-image","display_name":"Multispectral image","score":0.9542381763458252},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.8660280704498291},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.8348198533058167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6274441480636597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.603628396987915},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5563058853149414},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5114933252334595},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.488710880279541},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42826539278030396},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.41186702251434326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3801944851875305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2589043378829956}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9542381763458252},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8660280704498291},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.8348198533058167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6274441480636597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.603628396987915},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5563058853149414},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5114933252334595},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.488710880279541},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42826539278030396},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.41186702251434326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3801944851875305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2589043378829956},{"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/tgrs.2023.3309863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3309863","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/G1085509035","display_name":null,"funder_award_id":"62221002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2027762821","display_name":null,"funder_award_id":"61890962","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6234532813","display_name":null,"funder_award_id":"2018TP1013","funder_id":"https://openalex.org/F4320330458","funder_display_name":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province"},{"id":"https://openalex.org/G8469281213","display_name":null,"funder_award_id":"kq2202170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8696630765","display_name":null,"funder_award_id":"62201205","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/F4320330458","display_name":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1247035941","https://openalex.org/W1522046140","https://openalex.org/W1522301498","https://openalex.org/W1885185971","https://openalex.org/W1991460509","https://openalex.org/W2000323021","https://openalex.org/W2064366277","https://openalex.org/W2088538848","https://openalex.org/W2149720806","https://openalex.org/W2163334907","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2171845746","https://openalex.org/W2172185514","https://openalex.org/W2462592242","https://openalex.org/W2619662254","https://openalex.org/W2777033955","https://openalex.org/W2792142731","https://openalex.org/W2941769495","https://openalex.org/W2945218802","https://openalex.org/W2963007295","https://openalex.org/W2963183385","https://openalex.org/W2963420686","https://openalex.org/W2964101377","https://openalex.org/W2970172799","https://openalex.org/W2990810232","https://openalex.org/W3014514331","https://openalex.org/W3034259513","https://openalex.org/W3034461890","https://openalex.org/W3035068513","https://openalex.org/W3041178351","https://openalex.org/W3043497621","https://openalex.org/W3048794210","https://openalex.org/W3096904276","https://openalex.org/W3099258777","https://openalex.org/W3129710627","https://openalex.org/W3160949528","https://openalex.org/W3161884601","https://openalex.org/W3168631257","https://openalex.org/W3176750081","https://openalex.org/W3194706446","https://openalex.org/W3202568050","https://openalex.org/W3204305289","https://openalex.org/W4200127876","https://openalex.org/W4206658672","https://openalex.org/W4213256221","https://openalex.org/W4213414598","https://openalex.org/W4225982893","https://openalex.org/W4226198972","https://openalex.org/W4288391574","https://openalex.org/W4290043190","https://openalex.org/W4290714306","https://openalex.org/W4378421719","https://openalex.org/W6623043969","https://openalex.org/W6631190155","https://openalex.org/W6631230401","https://openalex.org/W6685078114"],"related_works":["https://openalex.org/W2726689079","https://openalex.org/W2124952510","https://openalex.org/W1502637513","https://openalex.org/W2013199662","https://openalex.org/W2158394102","https://openalex.org/W2375311607","https://openalex.org/W1930929277","https://openalex.org/W2240559849","https://openalex.org/W4385690043","https://openalex.org/W1766703137"],"abstract_inverted_index":{"Multispectral":[0],"image":[1,36,54,91,104,148,203],"pan-sharpening":[2,23,77,149,204],"aims":[3],"to":[4,33,70],"increase":[5],"the":[6,35,51,59,63,71,81,88,101,108,116,121,129,139,146,155,171,174,200],"spatial":[7,117,191],"details":[8],"of":[9,45,53,62,110,141,157],"multispectral":[10,14,103,112,147,202],"images":[11,124],"by":[12],"fusing":[13],"and":[15,31,94,99,118,173],"panchromatic":[16],"images.":[17,113],"Existing":[18],"component":[19,73],"substitution-based":[20,74],"deep":[21],"learning":[22],"is":[24,105],"generally":[25],"regarded":[26],"as":[27,87,107,138,154],"a":[28,163,178],"black":[29],"box":[30],"fails":[32],"mine":[34],"interaction":[37],"relation":[38],"with":[39,166],"physical":[40,60,186],"significance":[41],"in":[42,84],"each":[43,85],"step":[44,86],"pan-sharpening,":[46],"which":[47],"not":[48,183],"only":[49,184],"limits":[50],"improvement":[52],"resolution,":[55],"but":[56,188],"also":[57,189],"ignores":[58],"interpretability":[61,187],"models.":[64],"To":[65],"improve":[66,207],"this":[67],"situation,":[68],"according":[69],"traditional":[72],"detail":[75],"injection":[76],"model,":[78],"we":[79],"consider":[80],"matrix":[82],"calculation":[83],"transformation":[89],"between":[90],"pixel":[92],"values":[93],"carry":[95],"out":[96],"linear":[97],"transformations,":[98],"therefore":[100],"pan-sharpened":[102],"represented":[106],"sum":[109,156,172],"two":[111,122,142,158],"Then":[114],"given":[115],"spectral":[119],"heterogeneity,":[120],"summed":[123],"are":[125],"decomposed":[126],"based":[127],"on":[128,194],"fact":[130],"that":[131,169,199],"any":[132],"real":[133,143],"number":[134],"can":[135,151,206],"be":[136,152],"expressed":[137],"product":[140],"numbers.":[144],"Ultimately,":[145],"model":[150,205],"constructed":[153],"Hadamard":[159,175],"products.":[160],"We":[161],"design":[162],"dual-branch":[164],"network":[165],"attention":[167],"mechanisms":[168],"merges":[170],"products":[176],"into":[177],"concise":[179],"formulation.":[180],"This":[181],"method":[182],"enhances":[185],"improves":[190],"resolution.":[192],"Experiments":[193],"five":[195],"real-world":[196],"datasets":[197],"validate":[198],"proposed":[201],"performance.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}