{"id":"https://openalex.org/W4392909621","doi":"https://doi.org/10.1109/tgrs.2024.3378576","title":"Super-Resolution of Radargrams With a Generative Deep Learning Model","display_name":"Super-Resolution of Radargrams With a Generative Deep Learning Model","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392909621","doi":"https://doi.org/10.1109/tgrs.2024.3378576"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3378576","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2024.3378576","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5059205128","display_name":"Elena Donini","orcid":"https://orcid.org/0000-0002-6690-0250"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Elena Donini","raw_affiliation_strings":["Center for Digital Society, Fondazione Bruno Kessler, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Center for Digital Society, Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087668203","display_name":"Francesca Bovolo","orcid":"https://orcid.org/0000-0003-3104-7656"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Bovolo","raw_affiliation_strings":["Center for Digital Society, Fondazione Bruno Kessler, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Center for Digital Society, Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059205128"],"corresponding_institution_ids":["https://openalex.org/I2277624104"],"apc_list":null,"apc_paid":null,"fwci":0.7479,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69312344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9898999929428101,"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":0.9695000052452087,"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/geology","display_name":"Geology","score":0.598815381526947},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.376711368560791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36008331179618835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3041855990886688}],"concepts":[{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.598815381526947},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.376711368560791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36008331179618835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3041855990886688}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2024.3378576","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2024.3378576","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/423690","is_oa":false,"landing_page_url":"https://hdl.handle.net/11572/423690","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7066265262","display_name":null,"funder_award_id":"?Missione JUICE - Attivit`a dei team scientifici","funder_id":"https://openalex.org/F4320322256","funder_display_name":"Agenzia Spaziale Italiana"}],"funders":[{"id":"https://openalex.org/F4320322256","display_name":"Agenzia Spaziale Italiana","ror":"https://ror.org/034zgem50"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1538006934","https://openalex.org/W1901129140","https://openalex.org/W1969322422","https://openalex.org/W2016201669","https://openalex.org/W2046577213","https://openalex.org/W2059206652","https://openalex.org/W2067042811","https://openalex.org/W2091026611","https://openalex.org/W2098737627","https://openalex.org/W2156163116","https://openalex.org/W2194775991","https://openalex.org/W2476548250","https://openalex.org/W2502312327","https://openalex.org/W2508457857","https://openalex.org/W2535388113","https://openalex.org/W2798122215","https://openalex.org/W2891273602","https://openalex.org/W2893344582","https://openalex.org/W2902432000","https://openalex.org/W2912215141","https://openalex.org/W2918384003","https://openalex.org/W2950689937","https://openalex.org/W2962793481","https://openalex.org/W2986381119","https://openalex.org/W2986567149","https://openalex.org/W2994754901","https://openalex.org/W3002179192","https://openalex.org/W3012360214","https://openalex.org/W3045332022","https://openalex.org/W3091007181","https://openalex.org/W3121322902","https://openalex.org/W3130391550","https://openalex.org/W3135369694","https://openalex.org/W3156490387","https://openalex.org/W3162988700","https://openalex.org/W3205687650","https://openalex.org/W3207143406","https://openalex.org/W3211874878","https://openalex.org/W3212107795","https://openalex.org/W4231697575","https://openalex.org/W4285189347","https://openalex.org/W4312634560","https://openalex.org/W4323345675","https://openalex.org/W4386811565","https://openalex.org/W4387802791","https://openalex.org/W6724804524","https://openalex.org/W6750469568","https://openalex.org/W6771403767","https://openalex.org/W6802849515"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2390279801","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W2358668433","https://openalex.org/W3186982001","https://openalex.org/W1984402782"],"abstract_inverted_index":{"Radar":[0],"sounder":[1],"(RS)":[2],"profiles":[3],"are":[4,204],"essential":[5],"for":[6,75,142],"imaging":[7,116],"the":[8,14,23,47,53,63,76,89,99,113,152,211],"subsurface":[9],"of":[10,26,52,101],"planetary":[11],"bodies":[12],"and":[13,49,83,92,115,138,146,162,176,207,222],"Earth":[15],"as":[16,178],"they":[17],"provide":[18],"valuable":[19],"geological":[20,91,224],"insights.":[21],"However,":[22],"limited":[24],"availability":[25],"high-resolution":[27,86,139,179],"radargrams":[28,66,82,105,172,187],"poses":[29],"challenges.":[30],"This":[31],"article":[32],"proposes":[33],"a":[34,58,73,125,159,199],"novel":[35],"method":[36,167],"based":[37],"on":[38,210],"generative":[39,127],"models":[40],"to":[41,61,110,133,197],"super-resolve":[42],"radargrams.":[43],"Our":[44],"approach":[45],"addresses":[46],"ill-posed":[48],"ill-conditioned":[50],"nature":[51],"super-resolution":[54,100],"problem":[55],"by":[56,155,192],"training":[57,114],"neural":[59],"network":[60,71,129,153],"learn":[62],"correlation":[64],"between":[65,79,136],"at":[67],"different":[68],"scales.":[69],"The":[70,95,165,202],"learns":[72],"proxy":[74],"mapping":[77,96],"function":[78,97],"ambiguous":[80],"low-resolution":[81,104,182,195],"more":[84],"detailed":[85],"ones,":[87],"considering":[88],"data\u2019s":[90],"statistical":[93],"properties.":[94,148],"enables":[98],"previously":[102],"unseen":[103],"acquired":[106,173],"in":[107,112,144,174],"comparable":[108],"conditions":[109],"those":[111],"similar":[117],"underlying":[118],"geology.":[119],"To":[120],"achieve":[121],"this,":[122],"we":[123,150,184],"adopt":[124],"cycle":[126],"adversarial":[128],"(CycleGAN),":[130],"explicitly":[131],"designed":[132],"match":[134],"properties":[135],"low-":[137],"radargrams,":[140],"accounting":[141],"variations":[143],"dimensions":[145],"radiometric":[147],"Furthermore,":[149],"enhance":[151],"performance":[154],"incorporating":[156],"skip":[157],"connections,":[158],"ResNet":[160],"module,":[161],"attention":[163],"mechanisms.":[164],"proposed":[166],"is":[168,190],"validated":[169],"using":[170],"MCoRDS3":[171],"Greenland":[175],"Antarctica":[177],"data.":[180],"As":[181],"data,":[183],"used":[185],"simulated":[186],"representing":[188],"what":[189],"expected":[191],"an":[193],"Earth-orbiting":[194],"RS":[196],"have":[198],"controlled":[200],"experiment.":[201],"results":[203],"evaluated":[205],"qualitatively":[206],"quantitatively,":[208],"focusing":[209],"areas":[212],"with":[213,215],"reflections":[214],"complex":[216],"shapes":[217],"that":[218],"may":[219],"generate":[220],"artifacts":[221],"unrealistic":[223],"features.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
