{"id":"https://openalex.org/W2991209342","doi":"https://doi.org/10.1117/12.2557845","title":"Training set effect on super resolution for automated target recognition","display_name":"Training set effect on super resolution for automated target recognition","publication_year":2020,"publication_date":"2020-04-24","ids":{"openalex":"https://openalex.org/W2991209342","doi":"https://doi.org/10.1117/12.2557845","mag":"2991209342"},"language":"en","primary_location":{"id":"doi:10.1117/12.2557845","doi":"https://doi.org/10.1117/12.2557845","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2557845","pdf_url":null,"source":{"id":"https://openalex.org/S4306503853","display_name":"Automatic target recognition. Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Automatic Target Recognition XXX","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.07934","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007843092","display_name":"Matthew Ciolino","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210142618","display_name":"PeopleTec (United States)","ror":"https://ror.org/0477qv361","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Ciolino","raw_affiliation_strings":["PeopleTec, Inc. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PeopleTec, Inc. (United States)","institution_ids":["https://openalex.org/I4210142618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074519523","display_name":"David A. Noever","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210142618","display_name":"PeopleTec (United States)","ror":"https://ror.org/0477qv361","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Noever","raw_affiliation_strings":["PeopleTec, Inc. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PeopleTec, Inc. (United States)","institution_ids":["https://openalex.org/I4210142618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091026451","display_name":"Josh D. Kalin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210142618","display_name":"PeopleTec (United States)","ror":"https://ror.org/0477qv361","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josh D. Kalin","raw_affiliation_strings":["PeopleTec, Inc. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PeopleTec, Inc. (United States)","institution_ids":["https://openalex.org/I4210142618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210142618"],"apc_list":null,"apc_paid":null,"fwci":0.2959,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58471301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9042999744415283,"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":0.9042999744415283,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.05550000071525574,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.01080000028014183,"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/single-image-super-resolution","display_name":"single image super-resolution","score":0.9670000076293945},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"automatic target recognition","score":0.8529999852180481},{"id":"https://openalex.org/keywords/srgan","display_name":"SRGAN","score":0.9129999876022339},{"id":"https://openalex.org/keywords/land-use-classification","display_name":"land use classification","score":0.6840000152587891},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"satellite imagery","score":0.8149999976158142},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.7229999899864197},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.8339999914169312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8010889291763306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6642604470252991},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5589684247970581},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5391071438789368},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5272359251976013},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5034353137016296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47259482741355896},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4561556577682495},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4460766315460205},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4371030032634735},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4238133728504181},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4150989055633545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3763350248336792},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2557845","doi":"https://doi.org/10.1117/12.2557845","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2557845","pdf_url":null,"source":{"id":"https://openalex.org/S4306503853","display_name":"Automatic target recognition. Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Automatic Target Recognition XXX","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.07934","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.07934","pdf_url":"https://arxiv.org/pdf/1911.07934","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1911.07934","doi":"https://doi.org/10.48550/arxiv.1911.07934","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.07934","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.07934","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.07934","pdf_url":"https://arxiv.org/pdf/1911.07934","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2991209342.pdf","grobid_xml":"https://content.openalex.org/works/W2991209342.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W967544008","https://openalex.org/W1861492603","https://openalex.org/W2146200771","https://openalex.org/W2157494358","https://openalex.org/W2242218935","https://openalex.org/W2311103336","https://openalex.org/W2331128040","https://openalex.org/W2565312867","https://openalex.org/W2565639579","https://openalex.org/W2741137940","https://openalex.org/W2796347433","https://openalex.org/W2804523038","https://openalex.org/W2887695188","https://openalex.org/W2905345100","https://openalex.org/W2924210888","https://openalex.org/W2949533892","https://openalex.org/W2952505275","https://openalex.org/W2954930822","https://openalex.org/W2963150697","https://openalex.org/W2963470893","https://openalex.org/W3040726448","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W4404582869","https://openalex.org/W7124514786","https://openalex.org/W4408696346","https://openalex.org/W4388953309","https://openalex.org/W3128687571","https://openalex.org/W7165435275","https://openalex.org/W4387113719","https://openalex.org/W2923377306","https://openalex.org/W4383495986","https://openalex.org/W3207673409"],"abstract_inverted_index":{"Single":[0],"Image":[1],"Super":[2,64,142],"Resolution":[3,65,143],"(SISR)":[4],"is":[5],"the":[6,29,52,62,86,94,117],"process":[7],"of":[8,132,158],"mapping":[9],"a":[10,14,25,37,129,155],"low-resolution":[11],"image":[12,45],"to":[13,27,40,92,138,149,165],"high-resolution":[15],"image.":[16],"This":[17,35],"inherently":[18],"has":[19],"applications":[20],"in":[21,32,44,99,116],"remote":[22],"sensing":[23],"as":[24],"way":[26],"increase":[28],"spatial":[30],"resolution":[31],"satellite":[33],"imagery.":[34],"suggests":[36],"possible":[38],"improvement":[39],"automated":[41],"target":[42],"recognition":[43],"classification":[46],"and":[47,82,96,103,152],"object":[48,104,135],"detection.":[49],"We":[50,70,90,107],"explore":[51],"effect":[53],"that":[54,109,113,162],"different":[55,75],"training":[56,111],"sets":[57,112],"have":[58],"on":[59,74,85,122],"SISR":[60],"with":[61],"network,":[63],"Generative":[66],"Adversarial":[67],"Network":[68],"(SRGAN).":[69],"train":[71],"5":[72],"SRGANs":[73],"land-use":[76],"classes":[77],"(e.g.":[78],"agriculture,":[79],"cities,":[80],"ports)":[81],"test":[83,118],"them":[84],"same":[87],"unseen":[88],"dataset.":[89],"attempt":[91],"find":[93,108],"qualitative":[95],"quantitative":[97],"differences":[98],"SISR,":[100],"binary":[101],"classification,":[102],"detection":[105,136],"performance.":[106],"curated":[110],"contain":[114],"objects":[115],"ontology":[119],"perform":[120,139],"better":[121],"both":[123],"computer":[124],"vision":[125],"tasks":[126],"while":[127],"having":[128],"complex":[130],"distribution":[131],"images":[133],"allows":[134],"models":[137],"better.":[140],"However,":[141],"(SR)":[144],"might":[145],"not":[146],"be":[147],"beneficial":[148],"certain":[150],"problems":[151],"will":[153],"see":[154],"diminishing":[156],"amount":[157],"returns":[159],"for":[160],"datasets":[161],"are":[163],"closer":[164],"being":[166],"solved.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-12-05T00:00:00"}
