{"id":"https://openalex.org/W2943418786","doi":"https://doi.org/10.1109/lgrs.2019.2904526","title":"Convolutional Sparse Representation of Injected Details for Pansharpening","display_name":"Convolutional Sparse Representation of Injected Details for Pansharpening","publication_year":2019,"publication_date":"2019-04-30","ids":{"openalex":"https://openalex.org/W2943418786","doi":"https://doi.org/10.1109/lgrs.2019.2904526","mag":"2943418786"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2904526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2904526","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/A5021530193","display_name":"Rongrong Fei","orcid":"https://orcid.org/0000-0001-7126-3084"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongrong Fei","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024880206","display_name":"Jiangshe Zhang","orcid":"https://orcid.org/0000-0002-8395-1180"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangshe Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014312349","display_name":"Junmin Liu","orcid":"https://orcid.org/0000-0002-1462-7248"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junmin Liu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101680034","display_name":"Fang Du","orcid":"https://orcid.org/0000-0003-2884-7900"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Du","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009445375","display_name":"Peiju Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiju Chang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101640961","display_name":"Junying Hu","orcid":"https://orcid.org/0000-0002-6537-9694"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junying Hu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021530193"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":5.1779,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.95792693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"10","first_page":"1595","last_page":"1599"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.98089998960495,"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":0.9676679372787476},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7759442329406738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7335789799690247},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7254970669746399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.652838408946991},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5851909518241882},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.541412889957428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5401521921157837},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5142633318901062},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4283074140548706},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37544792890548706},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06743037700653076}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9676679372787476},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7759442329406738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335789799690247},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7254970669746399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.652838408946991},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5851909518241882},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.541412889957428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5401521921157837},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5142633318901062},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4283074140548706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37544792890548706},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06743037700653076},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2904526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2904526","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":[{"id":"https://openalex.org/G1292236401","display_name":null,"funder_award_id":"61877049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2247690355","display_name":null,"funder_award_id":"11671317","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3380864597","display_name":null,"funder_award_id":"61572393","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6889202850","display_name":null,"funder_award_id":"11601415","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":29,"referenced_works":["https://openalex.org/W54434497","https://openalex.org/W817971873","https://openalex.org/W1980110630","https://openalex.org/W2020679958","https://openalex.org/W2022075948","https://openalex.org/W2100329651","https://openalex.org/W2111924917","https://openalex.org/W2112693869","https://openalex.org/W2114113295","https://openalex.org/W2124743705","https://openalex.org/W2129953395","https://openalex.org/W2139529730","https://openalex.org/W2163334907","https://openalex.org/W2163677711","https://openalex.org/W2165651437","https://openalex.org/W2171845746","https://openalex.org/W2346013762","https://openalex.org/W2362164969","https://openalex.org/W2394774286","https://openalex.org/W2519236071","https://openalex.org/W2532801510","https://openalex.org/W2754256031","https://openalex.org/W2777033955","https://openalex.org/W2963442801","https://openalex.org/W3098542449","https://openalex.org/W6602248423","https://openalex.org/W6623043969","https://openalex.org/W6684197827","https://openalex.org/W6685078114"],"related_works":["https://openalex.org/W2158394102","https://openalex.org/W1930929277","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W2565514930","https://openalex.org/W2011962637","https://openalex.org/W2163677711"],"abstract_inverted_index":{"In":[0,117],"this":[1,118],"letter,":[2,119],"we":[3,120],"address":[4],"the":[5,42,47,53,60,65,82,95,122,136,153,160,168],"pansharpening":[6,32,57,83,98,143],"problem,":[7],"which":[8],"focuses":[9],"on":[10,35,41,86,159,178],"constructing":[11],"a":[12,19,131,141],"high-resolution":[13],"(HR)":[14],"multispectral":[15],"(MS)":[16],"image":[17],"from":[18,69],"low-resolution":[20],"(LR)":[21],"MS":[22,61],"and":[23,46,75,112,139,162,175,182],"an":[24],"HR":[25],"panchromatic":[26],"(Pan)":[27],"image.":[28],"The":[29,71],"accuracy":[30],"of":[31,44,49,73,88,147],"method":[33,58,84,138,144,170],"based":[34,85],"sparse":[36,50],"representation":[37],"(SR)":[38],"mainly":[39],"depends":[40],"construction":[43],"dictionary":[45],"learning":[48],"coefficients,":[51],"while":[52],"details":[54,68,90,149],"injection":[55],"(DI)-based":[56],"sharpens":[59],"bands":[62],"by":[63],"adding":[64],"proper":[66],"spatial":[67,176],"Pan.":[70],"combination":[72],"SR":[74,87,101,124,128,133],"DI":[76],"has":[77],"been":[78],"put":[79],"forward":[80],"as":[81,130],"injected":[89,148],"(SR-D).":[91],"However,":[92],"limited":[93,107],"to":[94,115,151],"patch-based":[96],"manner,":[97],"with":[99,126],"traditional":[100,123],"model":[102,125,134],"faces":[103],"two":[104,155],"disadvantages,":[105],"i.e.,":[106],"ability":[108],"in":[109,135],"detail":[110],"preservation":[111],"high":[113],"sensitivity":[114],"misregistration.":[116],"replace":[121],"convolutional":[127],"(CSR)":[129],"global":[132],"SR-D":[137],"propose":[140],"new":[142],"called":[145],"CSR":[146],"(CSR-D)":[150],"overcome":[152],"above-mentioned":[154],"drawbacks.":[156],"Experimental":[157],"results":[158],"IKONOS":[161],"WorldView2":[163],"data":[164],"sets":[165],"show":[166],"that":[167],"proposed":[169],"can":[171],"achieve":[172],"remarkable":[173],"spectral":[174],"quality":[177],"both":[179],"reduced":[180],"scale":[181],"full":[183],"scale.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}