{"id":"https://openalex.org/W4406460628","doi":"https://doi.org/10.1109/bigdata62323.2024.10825964","title":"Deep Super Resolution Techniques for Remote Sensing Big Data: A Comparative Study","display_name":"Deep Super Resolution Techniques for Remote Sensing Big Data: A Comparative Study","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406460628","doi":"https://doi.org/10.1109/bigdata62323.2024.10825964"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5101807692","display_name":"Rishabh Jain","orcid":"https://orcid.org/0009-0003-4017-2093"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rishabh Jain","raw_affiliation_strings":["North Carolina State University,Dept. Computer Science,Raleigh,NC"],"affiliations":[{"raw_affiliation_string":"North Carolina State University,Dept. Computer Science,Raleigh,NC","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065410886","display_name":"Ranga Raju Vatsavai","orcid":"https://orcid.org/0000-0002-7083-0267"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ranga Raju Vatsavai","raw_affiliation_strings":["North Carolina State University,Dept. Computer Science,Raleigh,NC"],"affiliations":[{"raw_affiliation_string":"North Carolina State University,Dept. Computer Science,Raleigh,NC","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101807692"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":0.52,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6876289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6011","last_page":"6020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9991999864578247,"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":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.6333683729171753},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.537208080291748},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4904749095439911},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.42638713121414185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35691869258880615},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.331815242767334},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1972566545009613},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17581996321678162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6333683729171753},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.537208080291748},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4904749095439911},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42638713121414185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35691869258880615},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.331815242767334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1972566545009613},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17581996321678162}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2049237558","https://openalex.org/W2064076387","https://openalex.org/W2073795739","https://openalex.org/W2102148524","https://openalex.org/W2137659327","https://openalex.org/W2202656999","https://openalex.org/W2866634454","https://openalex.org/W2950689937","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W4362670296","https://openalex.org/W4386065378","https://openalex.org/W4386076368","https://openalex.org/W4388666397","https://openalex.org/W4394565214","https://openalex.org/W4402101223"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2731626691","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,121],"remote":[3,80,205],"sensing":[4,81,206],"technology":[5],"have":[6],"led":[7],"to":[8,19,22,48,70,112],"vast":[9],"collections":[10],"of":[11,93,105,181,196,218,250],"big":[12],"image":[13,161],"data,":[14],"ranging":[15],"from":[16,96,151,202,209,241],"high-resolution":[17,31,51,152,160,199],"(sub-meter)":[18],"medium-resolution":[20,26,46],"(10":[21,68],"30":[23],"meters).":[24],"While":[25],"images":[27,47,82,201],"are":[28],"freely":[29],"available,":[30],"imagery":[32],"is":[33,221],"costly.":[34],"Several":[35],"applications,":[36],"such":[37,117],"as":[38,118],"object":[39],"recognition":[40],"and":[41,123,127,136,154,212,223,230,258],"cloud":[42],"imputation,":[43],"necessitate":[44],"super-resolving":[45,63],"align":[49],"with":[50,171],"data.":[52],"Deep":[53],"learning":[54,148],"has":[55],"significantly":[56],"improved":[57],"single-image":[58],"super-resolution":[59,92,183],"(SISR)":[60],"accuracy.":[61],"However,":[62,168],"at":[64,90,101],"scales":[65],"exceeding":[66],"5x":[67],"meters":[69,95],"2":[71,94],"or":[72,165],"1":[73],"meter)":[74],"remains":[75],"challenging.":[76],"Unlike":[77],"natural":[78,139],"photographs,":[79],"require":[83],"recovering":[84],"intricate":[85],"details":[86],"for":[87],"25":[88],"pixels":[89],"a":[91,102,189,193],"an":[97],"aggregated":[98],"single":[99],"pixel":[100,145],"medium":[103],"resolution":[104],"10":[106],"meters.":[107],"This":[108],"demands":[109],"the":[110,179,239,248],"ability":[111],"discern":[113],"subtle":[114],"geographic":[115],"features,":[116],"textures,":[119],"variations":[120],"vegetation":[122],"land":[124],"use":[125],"changes,":[126],"small":[128],"man-made":[129],"structures.":[130],"Existing":[131],"SR":[132,252],"techniques,":[133,185],"primarily":[134],"designed":[135],"tested":[137],"on":[138,142],"images,":[140],"focus":[141],"establishing":[143],"hidden":[144],"relationships":[146],"by":[147,254],"contextual":[149],"constraints":[150],"data":[153,173],"employing":[155],"innovative":[156],"loss":[157],"functions":[158],"during":[159],"reconstruction":[162],"through":[163],"residual":[164],"similarity":[166],"transformations.":[167],"their":[169,256],"effectiveness":[170,180],"geospatial":[172],"requires":[174],"careful":[175],"evaluation.":[176],"To":[177],"evaluate":[178],"various":[182],"(SR)":[184],"this":[186,242],"paper":[187],"conducts":[188],"comparative":[190,243],"study":[191,244],"using":[192,225],"diverse":[194],"dataset":[195],"over":[197],"16,530":[198],"satellite":[200],"Planet":[203],"Explorer\u2019s":[204],"database,":[207],"sourced":[208],"Sentinel-2":[210],"(10-meter)":[211],"RapidEye":[213],"(3-meter)":[214],"satellites.":[215],"The":[216],"performance":[217],"each":[219],"method":[220],"assessed":[222],"compared":[224],"Peak":[226],"Signal-to-Noise":[227],"Ratio":[228],"(PSNR)":[229],"Structural":[231],"Similarity":[232],"Index":[233],"Measure":[234],"(SSIM)":[235],"metrics.":[236],"We":[237],"hope":[238],"insights":[240],"will":[245],"help":[246],"guide":[247],"selection":[249],"suitable":[251],"methods":[253],"highlighting":[255],"advantages":[257],"disadvantages.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}