{"id":"https://openalex.org/W2781674358","doi":"https://doi.org/10.1109/icspcc.2017.8242625","title":"Satellite super-resolution images depending on deep learning methods: A comparative study","display_name":"Satellite super-resolution images depending on deep learning methods: A comparative study","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2781674358","doi":"https://doi.org/10.1109/icspcc.2017.8242625","mag":"2781674358"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc.2017.8242625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5074263608","display_name":"Hatem M. Keshk","orcid":"https://orcid.org/0000-0002-8043-1227"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hatem Magdy Keshk","raw_affiliation_strings":["Computer Science Department, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074514262","display_name":"Xu-Cheng Yin","orcid":"https://orcid.org/0000-0003-0023-0220"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu-Cheng Yin","raw_affiliation_strings":["Computer Science Department, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074263608"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.6372,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.792248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.8890069723129272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8019299507141113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7650865316390991},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5835989713668823},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5820702314376831},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4572441577911377},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4464329779148102},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3476954400539398},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06690356135368347}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8890069723129272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8019299507141113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7650865316390991},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5835989713668823},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5820702314376831},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4572441577911377},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4464329779148102},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3476954400539398},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06690356135368347},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc.2017.8242625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W4136762","https://openalex.org/W135113724","https://openalex.org/W1885185971","https://openalex.org/W1919542679","https://openalex.org/W1998399571","https://openalex.org/W2014506068","https://openalex.org/W2061398022","https://openalex.org/W2088254198","https://openalex.org/W2097074225","https://openalex.org/W2111634407","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2133341703","https://openalex.org/W2136922672","https://openalex.org/W2146337213","https://openalex.org/W2149669120","https://openalex.org/W2151452149","https://openalex.org/W2157190232","https://openalex.org/W2160558632","https://openalex.org/W2161516371","https://openalex.org/W2163523041","https://openalex.org/W2163605009","https://openalex.org/W2164551808","https://openalex.org/W2165939075","https://openalex.org/W2243595562","https://openalex.org/W2325678563","https://openalex.org/W2562483444","https://openalex.org/W2963542991","https://openalex.org/W3137074406","https://openalex.org/W6605397647","https://openalex.org/W6639309558","https://openalex.org/W6672745981","https://openalex.org/W6676509103","https://openalex.org/W6677973867","https://openalex.org/W6681686951","https://openalex.org/W6683660953","https://openalex.org/W6683781035","https://openalex.org/W6684191040","https://openalex.org/W6730613906"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W4380075502"],"abstract_inverted_index":{"The":[0,99,130],"deep":[1,32,56,74,85,100,106],"learning":[2,57,75,86,107],"neural":[3,33],"network":[4,34,101,133],"is":[5,52,111],"a":[6,38,80,93],"recent":[7],"development":[8],"that":[9,36],"has":[10],"become":[11],"the":[12,17,50,70,114],"subject":[13],"of":[14,72,83],"research":[15],"in":[16,47,113,126,143],"computer":[18],"vision":[19],"and":[20,88,96,121,137],"remote":[21],"sensing":[22],"disciplines.":[23],"Super":[24],"resolution":[25],"(SR)":[26],"images":[27,120],"can":[28,145],"be":[29,146],"obtained":[30],"using":[31],"methods":[35,58],"achieve":[37],"higher":[39],"performance":[40,71],"than":[41],"all":[42],"previous":[43],"traditional":[44,127],"methods.":[45],"Here,":[46],"this":[48,109],"study,":[49],"objective":[51],"to":[53,68,91],"describe":[54],"existing":[55],"for":[59,117],"SR":[60,119],"satellite":[61,64],"images.":[62],"Different":[63],"data":[65],"are":[66],"used":[67],"predict":[69],"each":[73],"model.":[76,98],"This":[77],"article":[78],"presents":[79],"brief":[81],"overview":[82],"most":[84],"techniques":[87],"compares":[89],"them":[90],"obtain":[92],"more":[94],"effective":[95],"efficient":[97],"cascade":[102],"model":[103],"outperforms":[104],"other":[105],"algorithms;":[108],"algorithm":[110],"dependable":[112],"reconstruction":[115,128],"process":[116],"obtaining":[118],"overcomes":[122],"some":[123,139],"drawbacks":[124],"found":[125],"algorithms.":[129],"sparse":[131],"coding":[132],"method":[134],"remains":[135],"valuable,":[136],"with":[138],"enhancements,":[140],"further":[141],"improvement":[142],"results":[144],"achieved.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}