{"id":"https://openalex.org/W4312549128","doi":"https://doi.org/10.1109/igarss46834.2022.9884486","title":"Generative-Network Based Multimedia Super-Resolution for Uav Remote Sensing","display_name":"Generative-Network Based Multimedia Super-Resolution for Uav Remote Sensing","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312549128","doi":"https://doi.org/10.1109/igarss46834.2022.9884486"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884486","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5066143659","display_name":"Yash Turkar","orcid":"https://orcid.org/0009-0007-0970-0467"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yash Turkar","raw_affiliation_strings":["University at Buffalo, SUNY,Buffalo,NY,USA","University at Buffalo, SUNY, Buffalo, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo, SUNY,Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"University at Buffalo, SUNY, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040449219","display_name":"Christo Aluckal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133043","display_name":"Clinical Solutions","ror":"https://ror.org/02p9evb60","country_code":"US","type":"other","lineage":["https://openalex.org/I4210133043"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christo Aluckal","raw_affiliation_strings":["InfiCorridor Solutions Pvt. Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InfiCorridor Solutions Pvt. Ltd","institution_ids":["https://openalex.org/I4210133043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027352469","display_name":"Shaunak De","orcid":"https://orcid.org/0000-0002-2365-7756"},"institutions":[{"id":"https://openalex.org/I193424650","display_name":"Capella University","ror":"https://ror.org/0470b8t84","country_code":"US","type":"education","lineage":["https://openalex.org/I193424650"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaunak De","raw_affiliation_strings":["Capella Space"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capella Space","institution_ids":["https://openalex.org/I193424650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058118074","display_name":"Varsha Turkar","orcid":"https://orcid.org/0000-0002-0225-0498"},"institutions":[{"id":"https://openalex.org/I10767319","display_name":"Assam Don Bosco University","ror":"https://ror.org/00rmfj856","country_code":"IN","type":"education","lineage":["https://openalex.org/I10767319"]},{"id":"https://openalex.org/I4210105079","display_name":"Universidad Don Bosco","ror":"https://ror.org/01k8z5j70","country_code":"SV","type":"education","lineage":["https://openalex.org/I4210105079"]}],"countries":["IN","SV"],"is_corresponding":false,"raw_author_name":"Varsha Turkar","raw_affiliation_strings":["Don Bosco College of Engineering,Goa,India","Don Bosco College of Engineering, Goa, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Don Bosco College of Engineering,Goa,India","institution_ids":["https://openalex.org/I10767319","https://openalex.org/I4210105079"]},{"raw_affiliation_string":"Don Bosco College of Engineering, Goa, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075026485","display_name":"Yogesh Agarwadkar","orcid":"https://orcid.org/0009-0003-7143-2863"},"institutions":[{"id":"https://openalex.org/I4210133043","display_name":"Clinical Solutions","ror":"https://ror.org/02p9evb60","country_code":"US","type":"other","lineage":["https://openalex.org/I4210133043"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yogesh Agarwadkar","raw_affiliation_strings":["InfiCorridor Solutions Pvt. Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InfiCorridor Solutions Pvt. Ltd","institution_ids":["https://openalex.org/I4210133043"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.059,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.31532619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"146","issue":null,"first_page":"527","last_page":"530"},"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":0.9995999932289124,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.7744186520576477},{"id":"https://openalex.org/keywords/ground-sample-distance","display_name":"Ground sample distance","score":0.6466663479804993},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5907939672470093},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5564144253730774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.500586748123169},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4656083881855011},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4500015377998352},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.44287368655204773},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4216669499874115},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3266856074333191},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10977497696876526},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.0939359962940216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744186520576477},{"id":"https://openalex.org/C197513456","wikidata":"https://www.wikidata.org/wiki/Q5610972","display_name":"Ground sample distance","level":3,"score":0.6466663479804993},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5907939672470093},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5564144253730774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.500586748123169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4656083881855011},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4500015377998352},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.44287368655204773},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4216669499874115},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3266856074333191},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10977497696876526},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0939359962940216},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884486","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2005073772","https://openalex.org/W2113181442","https://openalex.org/W2359099468","https://openalex.org/W2415472909","https://openalex.org/W2751836124","https://openalex.org/W2806558044","https://openalex.org/W2916813082","https://openalex.org/W3130107790","https://openalex.org/W3185807047"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W2142226356","https://openalex.org/W3210000161"],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Vehicle":[2],"(UAV)":[3],"based":[4,63],"aerial":[5],"mapping":[6],"has":[7],"taken":[8],"over":[9],"the":[10,36,42,68,82,100],"surveying":[11],"industry":[12],"thanks":[13],"to":[14,66],"low":[15],"costs":[16],"and":[17,41,84],"ease":[18],"of":[19,44,52,70,86],"use.":[20],"Although":[21],"these":[22],"UAVs":[23],"have":[24],"relatively":[25],"high-resolution":[26],"imaging":[27],"systems,":[28],"there":[29],"exists":[30],"a":[31,50,60],"near":[32],"exponential":[33],"relationship":[34],"between":[35],"ground":[37],"sampling":[38],"distance":[39],"(GSD)":[40],"number":[43],"images":[45,71],"required":[46],"-":[47],"which":[48,72],"is":[49],"function":[51],"flight":[53,75],"altitude.":[54],"To":[55],"tackle":[56],"this,":[57],"we":[58,80],"use":[59],"generative":[61],"network":[62],"super-resolution":[64,92],"approach":[65,88],"increase":[67],"GSD":[69],"effectively":[73],"reduces":[74],"time.":[76],"In":[77],"this":[78,87],"paper":[79],"test":[81],"efficiency":[83],"efficacy":[85],"using":[89,102],"two":[90,101],"multimedia":[91],"implementations.":[93],"We":[94],"also":[95],"provide":[96],"quantitative":[97],"results":[98],"comparing":[99],"various":[103],"image":[104],"processing":[105],"metrics.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
