{"id":"https://openalex.org/W4390338480","doi":"https://doi.org/10.3390/rs16010139","title":"A General Deep Learning Point\u2013Surface Fusion Framework for RGB Image Super-Resolution","display_name":"A General Deep Learning Point\u2013Surface Fusion Framework for RGB Image Super-Resolution","publication_year":2023,"publication_date":"2023-12-28","ids":{"openalex":"https://openalex.org/W4390338480","doi":"https://doi.org/10.3390/rs16010139"},"language":"en","primary_location":{"id":"doi:10.3390/rs16010139","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16010139","pdf_url":"https://www.mdpi.com/2072-4292/16/1/139/pdf?version=1703944205","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/1/139/pdf?version=1703944205","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100456303","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-7329-0382"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No. 20 Datun Road, Beijing 100101, China","University of Chinese Academy of Sciences, No. 3 Datun Road, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No. 20 Datun Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, No. 3 Datun Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603648","display_name":"Lifu Zhang","orcid":"https://orcid.org/0000-0002-3533-9966"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lifu Zhang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No. 20 Datun Road, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No. 20 Datun Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003667621","display_name":"Ruoxi Song","orcid":"https://orcid.org/0000-0001-7872-5587"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoxi Song","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No. 20 Datun Road, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No. 20 Datun Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109327826","display_name":"Qingxi Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxi Tong","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No. 20 Datun Road, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No. 20 Datun Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115603648"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6269,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73610498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"16","issue":"1","first_page":"139","last_page":"139"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9994000196456909,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8581722974777222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.726018488407135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7145193219184875},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6496068239212036},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5429669618606567},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.46195387840270996},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45330509543418884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37275269627571106},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12399467825889587}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8581722974777222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726018488407135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7145193219184875},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6496068239212036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5429669618606567},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.46195387840270996},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45330509543418884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37275269627571106},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12399467825889587}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16010139","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16010139","pdf_url":"https://www.mdpi.com/2072-4292/16/1/139/pdf?version=1703944205","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a5b4181dbb5a4a8d9a960a413f68747a","is_oa":true,"landing_page_url":"https://doaj.org/article/a5b4181dbb5a4a8d9a960a413f68747a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 1, p 139 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16010139","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16010139","pdf_url":"https://www.mdpi.com/2072-4292/16/1/139/pdf?version=1703944205","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1942310521","display_name":null,"funder_award_id":"2022YFF0904400","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2730304786","display_name":null,"funder_award_id":"41830108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3463187486","display_name":null,"funder_award_id":"2022M723222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3563089768","display_name":null,"funder_award_id":"2022M723222","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4144268926","display_name":null,"funder_award_id":"41830108","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5417657831","display_name":null,"funder_award_id":"2022M723","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6120119424","display_name":null,"funder_award_id":"41830108","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6656577703","display_name":null,"funder_award_id":"2022YFF0904400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7476459360","display_name":null,"funder_award_id":"2022YFF0904400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8473937709","display_name":null,"funder_award_id":"2022M723222","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390338480.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1970836680","https://openalex.org/W1990231296","https://openalex.org/W2097259623","https://openalex.org/W2100556411","https://openalex.org/W2117700900","https://openalex.org/W2145889472","https://openalex.org/W2520430674","https://openalex.org/W2625894731","https://openalex.org/W2798559986","https://openalex.org/W2964275574","https://openalex.org/W3007332620","https://openalex.org/W3030709861","https://openalex.org/W3035192576","https://openalex.org/W3036200672","https://openalex.org/W3048794210","https://openalex.org/W3083606623","https://openalex.org/W3099239430","https://openalex.org/W3104313739","https://openalex.org/W3109408464","https://openalex.org/W3145766851","https://openalex.org/W3181367324","https://openalex.org/W3195162645","https://openalex.org/W3210739020","https://openalex.org/W3210882003","https://openalex.org/W3214821343","https://openalex.org/W4229058281","https://openalex.org/W4288064619","https://openalex.org/W4294663621","https://openalex.org/W4320005711","https://openalex.org/W4320713392","https://openalex.org/W4328104974","https://openalex.org/W4362470511","https://openalex.org/W4372054869","https://openalex.org/W4386895013","https://openalex.org/W6736945006","https://openalex.org/W6811008586","https://openalex.org/W6840896023"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W2911259277","https://openalex.org/W2800956885","https://openalex.org/W4250051149","https://openalex.org/W2533019003","https://openalex.org/W2083270190","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2078656815","https://openalex.org/W2391021239"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1,55,68],"are":[2],"usually":[3,62],"acquired":[4],"in":[5,13,97,200],"a":[6,41,81,139,154,158,208],"scanning-based":[7],"way,":[8],"which":[9],"can":[10,121,162,195],"cause":[11],"inconvenience":[12],"some":[14],"situations.":[15],"In":[16],"these":[17],"cases,":[18],"RGB":[19,75,92,201],"image":[20,93,149,161],"spectral":[21,31,38,94,114,119,124,129,198,211],"super-resolution":[22,32,95,120,212],"technology":[23],"emerges":[24],"as":[25,56,74,109,138],"an":[26],"alternative.":[27],"However,":[28],"current":[29],"mainstream":[30],"methods":[33],"aim":[34],"to":[35,46,89,112,128],"generate":[36],"continuous":[37],"information":[39,199],"at":[40],"very":[42],"narrow":[43],"range,":[44],"limited":[45],"the":[47,65,70,91,118,123,146,166,170,179,192,204],"visible":[48],"light":[49],"range.":[50],"Some":[51],"researchers":[52],"introduce":[53],"hyperspectral":[54,67,106,148,160],"auxiliary":[57,66,110],"data.":[58,130],"But":[59],"it":[60],"is":[61,87],"required":[63],"that":[64,191],"have":[69],"same":[71],"spatial":[72],"range":[73,126],"images.":[76,202],"To":[77],"address":[78],"this":[79,98],"issue,":[80],"general":[82],"point\u2013surface":[83],"data":[84,108,111],"fusion":[85],"method":[86,104,133,168,194,206],"designed":[88],"achieve":[90],"goal":[96],"paper,":[99],"named":[100],"GRSS-Net.":[101],"The":[102,131],"proposed":[103,132,167,193,205],"utilizes":[105,134],"point":[107],"provide":[113],"reference":[115],"information.":[116],"Thus,":[117,165],"extend":[122],"reconstruction":[125,150],"according":[127],"compressed":[135],"sensing":[136],"theory":[137],"fundamental":[140],"physical":[141,183],"mechanism":[142],"and":[143,178],"then":[144],"unfolds":[145],"traditional":[147,182],"optimization":[151],"problem":[152],"into":[153],"deep":[155,176],"network.":[156],"Finally,":[157],"high-spatial-resolution":[159],"be":[163],"obtained.":[164],"combines":[169],"non-linear":[171],"feature":[172],"extraction":[173],"ability":[174],"of":[175,181,188,210],"learning":[177],"interpretability":[180],"models":[184],"simultaneously.":[185],"A":[186],"series":[187],"experiments":[189],"demonstrates":[190],"effectively":[196],"reconstruct":[197],"Meanwhile,":[203],"provides":[207],"framework":[209],"for":[213],"different":[214],"applications.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2023-12-29T00:00:00"}
