{"id":"https://openalex.org/W2891914057","doi":"https://doi.org/10.1109/tgrs.2018.2864750","title":"Convolution Structure Sparse Coding for Fusion of Panchromatic and Multispectral Images","display_name":"Convolution Structure Sparse Coding for Fusion of Panchromatic and Multispectral Images","publication_year":2018,"publication_date":"2018-09-21","ids":{"openalex":"https://openalex.org/W2891914057","doi":"https://doi.org/10.1109/tgrs.2018.2864750","mag":"2891914057"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2864750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2864750","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/A5007544409","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-9218-5916"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-9218-5916","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340936","display_name":"Min Wang","orcid":"https://orcid.org/0000-0002-7571-1662"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wang","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-7571-1662","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764373","display_name":"Shuyuan Yang","orcid":"https://orcid.org/0000-0002-4796-5737"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-4796-5737","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":3.3696,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.92515275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"57","issue":"2","first_page":"1117","last_page":"1130"},"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":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9983000159263611,"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":0.8985909819602966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.686432421207428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6658077239990234},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6505390405654907},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5893346667289734},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5058864951133728},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48431387543678284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4621729254722595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4510768949985504},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.41632452607154846},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.41613635420799255},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2689778208732605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21269288659095764},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1289328932762146}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.8985909819602966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686432421207428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6658077239990234},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6505390405654907},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5893346667289734},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5058864951133728},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48431387543678284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4621729254722595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4510768949985504},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41632452607154846},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.41613635420799255},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2689778208732605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21269288659095764},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1289328932762146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2864750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2864750","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/G2552413355","display_name":null,"funder_award_id":"U1701267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2559168354","display_name":null,"funder_award_id":"91438201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4593460045","display_name":null,"funder_award_id":"91438103.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7555217171","display_name":"\u9690\u7a7a\u95f4\u7a00\u758f\u4e0e\u7ed3\u6784\u5316\u5148\u9a8c\u4e0b\u7684\u975e\u7ebf\u6027\u538b\u7f29\u611f\u77e5\u7814\u7a76","funder_award_id":"61771376","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7595559387","display_name":null,"funder_award_id":"U1730109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8690032252","display_name":null,"funder_award_id":"61771380","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1522046140","https://openalex.org/W1553305639","https://openalex.org/W1654063000","https://openalex.org/W1670884663","https://openalex.org/W1927211154","https://openalex.org/W1946953458","https://openalex.org/W1968154520","https://openalex.org/W1974745581","https://openalex.org/W1995551361","https://openalex.org/W2014316959","https://openalex.org/W2015380729","https://openalex.org/W2020679958","https://openalex.org/W2038485909","https://openalex.org/W2054440797","https://openalex.org/W2078204800","https://openalex.org/W2085625911","https://openalex.org/W2088254198","https://openalex.org/W2100604996","https://openalex.org/W2106891293","https://openalex.org/W2109484841","https://openalex.org/W2111924917","https://openalex.org/W2117259536","https://openalex.org/W2119077559","https://openalex.org/W2120824855","https://openalex.org/W2129953395","https://openalex.org/W2136401825","https://openalex.org/W2139529730","https://openalex.org/W2141552007","https://openalex.org/W2144436897","https://openalex.org/W2149720806","https://openalex.org/W2152254169","https://openalex.org/W2159269332","https://openalex.org/W2160547390","https://openalex.org/W2163334907","https://openalex.org/W2163677711","https://openalex.org/W2164278908","https://openalex.org/W2165651437","https://openalex.org/W2171211028","https://openalex.org/W2171845746","https://openalex.org/W2190662802","https://openalex.org/W2202656999","https://openalex.org/W2293078015","https://openalex.org/W2293167795","https://openalex.org/W2296616510","https://openalex.org/W2314528731","https://openalex.org/W2511036283","https://openalex.org/W2546302380","https://openalex.org/W2558072172","https://openalex.org/W2605486153","https://openalex.org/W2749192194","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W4298073618","https://openalex.org/W6623043969","https://openalex.org/W6631230401","https://openalex.org/W6633088995","https://openalex.org/W6680979241","https://openalex.org/W6684197827","https://openalex.org/W6685078114","https://openalex.org/W6687873993","https://openalex.org/W6729344799"],"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":{"Recently,":[0],"sparse":[1,89,103],"coding-based":[2],"image":[3,30,72,82],"fusion":[4,17,83,190,241],"methods":[5,27],"have":[6],"been":[7],"developed":[8],"extensively.":[9],"Although":[10],"most":[11],"of":[12,42,55,69,109,175,195],"them":[13,36],"can":[14,199,227],"produce":[15,228],"competitive":[16],"results,":[18],"three":[19],"issues":[20],"need":[21],"to":[22,92,115,124,153,170,179],"be":[23],"addressed:":[24],"1)":[25],"these":[26,95],"divide":[28],"the":[29,40,48,53,59,64,67,98,106,126,129,140,155,180,184,187,193,196,202,207,211,224],"into":[31],"overlapped":[32,45],"patches":[33],"and":[34,62,111,144,173,205,218,233],"process":[35],"independently,":[37],"which":[38,198],"ignore":[39],"consistency":[41,172],"pixels":[43],"in":[44,52,66,128,168,210],"patches;":[46],"2)":[47],"partition":[49,194],"strategy":[50],"results":[51,215,230],"loss":[54],"spatial":[56,208],"structures":[57,209],"for":[58],"entire":[60,185],"image;":[61],"3)":[63],"correlation":[65,127,204],"bands":[68,131],"multispectral":[70],"(MS)":[71],"is":[73,122,165],"ignored.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"propose":[79],"a":[80,117,159],"novel":[81],"method":[84,100,191,226],"based":[85],"on":[86,183,216],"convolution":[87,102,182],"structure":[88],"coding":[90,104],"(CSSC)":[91],"deal":[93],"with":[94,105,238],"issues.":[96],"First,":[97],"proposed":[99,188,225],"combines":[101],"degradation":[107],"relationship":[108],"MS":[110,130],"panchromatic":[112],"(PAN)":[113],"images":[114,221],"establish":[116],"restoration":[118],"model.":[119],"Then,":[120],"CSSC":[121,189],"elaborated":[123],"depict":[125],"by":[132,150,231],"introducing":[133],"structural":[134],"sparsity.":[135],"Finally,":[136],"feature":[137],"maps":[138],"over":[139],"constructed":[141],"high-spatial-resolution":[142],"(HR)":[143],"low-spatial-resolution":[145],"(LR)":[146],"filters":[147],"are":[148],"computed":[149],"alternative":[151],"optimization":[152],"reconstruct":[154],"fused":[156],"images.":[157],"Besides,":[158],"joint":[160],"HR/LR":[161,176],"filter":[162],"learning":[163],"framework":[164],"also":[166],"described":[167],"detail":[169],"ensure":[171],"compatibility":[174],"filters.":[177],"Owing":[178],"direct":[181],"image,":[186,197],"avoids":[192],"efficiently":[200],"exploit":[201],"global":[203],"preserve":[206],"image.":[212],"The":[213],"experimental":[214],"QuickBird":[217],"Geoeye-1":[219],"satellite":[220],"show":[222],"that":[223],"better":[229],"visual":[232],"numerical":[234],"evaluation":[235],"when":[236],"compared":[237],"several":[239],"well-known":[240],"methods.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}