{"id":"https://openalex.org/W2073653423","doi":"https://doi.org/10.1109/igarss.2015.7325838","title":"Joint dictionary learning with ridge regression for pansharpening","display_name":"Joint dictionary learning with ridge regression for pansharpening","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2073653423","doi":"https://doi.org/10.1109/igarss.2015.7325838","mag":"2073653423"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7325838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-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/A5062542061","display_name":"Songze Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songze Tang","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, Jiangsu, CN","Nanjing University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, Jiangsu, CN","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020302879","display_name":"Liang Xiao","orcid":"https://orcid.org/0000-0003-0178-9384"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xiao","raw_affiliation_strings":["Nanjing University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053227987","display_name":"Bushra Naz","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bushra Naz","raw_affiliation_strings":["Nanjing University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354999","display_name":"Pengfei Liu","orcid":"https://orcid.org/0000-0002-1603-3670"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Liu","raw_affiliation_strings":["Nanjing University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100394302","display_name":"Yufeng Chen","orcid":"https://orcid.org/0009-0007-7632-7914"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Chen","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, Jiangsu, CN","Nanjing University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, Jiangsu, CN","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.4209,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6867388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"34","issue":null,"first_page":"613","last_page":"616"},"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":0.9929999709129333,"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":0.9916999936103821,"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":0.9484262466430664},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7012309432029724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6734287142753601},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6674081087112427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6083543300628662},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.531618058681488},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5206010341644287},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5106621384620667},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4947811961174011},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4853910207748413},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4294324219226837},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.4249364733695984},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4211042523384094},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3563989996910095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2633186876773834},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13884854316711426},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09775304794311523}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9484262466430664},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7012309432029724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6734287142753601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6674081087112427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6083543300628662},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.531618058681488},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5206010341644287},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5106621384620667},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4947811961174011},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4853910207748413},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4294324219226837},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.4249364733695984},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4211042523384094},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3563989996910095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2633186876773834},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13884854316711426},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09775304794311523},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7325838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329859","display_name":"National Equipment Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1553305639","https://openalex.org/W2100604996","https://openalex.org/W2106891293","https://openalex.org/W2111924917","https://openalex.org/W2120824855","https://openalex.org/W2123046940","https://openalex.org/W2129953395","https://openalex.org/W2154742968","https://openalex.org/W2163677711","https://openalex.org/W2171627515","https://openalex.org/W6633088995","https://openalex.org/W6678025836"],"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/W2565514930","https://openalex.org/W2143372509","https://openalex.org/W4385690043"],"abstract_inverted_index":{"A":[0],"novel":[1],"pansharpening":[2],"method":[3],"is":[4,46,80,91],"proposed":[5,47],"for":[6,102],"creating":[7],"a":[8,19,24,42,50],"fused":[9,88],"image":[10,22,72,90],"of":[11,52,57,62,115,128],"high":[12,68],"spatial":[13],"and":[14,67,99],"spectral":[15],"resolutions":[16],"through":[17],"merging":[18],"panchromatic":[20],"(PAN)":[21],"with":[23,109],"multispectral":[25],"(MS)":[26],"image.":[27,106],"To":[28],"replace":[29],"the":[30,35,39,59,87,95,100,103,121,126],"patch":[31],"pairs":[32],"sampled":[33],"from":[34],"images":[36],"directly":[37],"as":[38],"dictionary":[40,101],"pairs,":[41],"joint":[43],"learning":[44],"model":[45,79],"to":[48,74,82],"learn":[49],"pair":[51],"compact":[53],"dictionaries.":[54],"Meanwhile,":[55],"instead":[56],"restricting":[58],"coding":[60],"coefficients":[61,98],"low":[63],"resolution":[64,69],"(LR)":[65],"MS":[66,71,89,105],"(HR)":[70],"patches":[73],"be":[75],"equal,":[76],"ridge":[77],"regression":[78],"employed":[81],"describe":[83],"their":[84],"relation.":[85],"Then,":[86],"calculated":[92],"by":[93],"combining":[94],"mapped":[96],"sparse":[97],"HR":[104],"By":[107],"comparing":[108],"some":[110],"well-known":[111],"methods":[112],"in":[113],"terms":[114],"several":[116],"universal":[117],"quality":[118],"evaluation":[119],"indexes,":[120],"simulated":[122],"experimental":[123],"results":[124],"demonstrate":[125],"superiority":[127],"our":[129],"method.":[130]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}