{"id":"https://openalex.org/W4367846681","doi":"https://doi.org/10.2514/1.i011089","title":"Multiscale Super-Resolution Remote Imaging via Deep Conditional Normalizing Flows","display_name":"Multiscale Super-Resolution Remote Imaging via Deep Conditional Normalizing Flows","publication_year":2023,"publication_date":"2023-05-03","ids":{"openalex":"https://openalex.org/W4367846681","doi":"https://doi.org/10.2514/1.i011089"},"language":"en","primary_location":{"id":"doi:10.2514/1.i011089","is_oa":false,"landing_page_url":"http://dx.doi.org/10.2514/1.i011089","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","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/A5010929712","display_name":"Aneesh Heintz","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aneesh M. Heintz","raw_affiliation_strings":["Cornell University, Ithaca, New York 14850"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, New York 14850","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041492445","display_name":"Mason A. Peck","orcid":"https://orcid.org/0000-0002-4129-862X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mason Peck","raw_affiliation_strings":["Cornell University, Ithaca, New York 14850"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, New York 14850","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086663769","display_name":"Ian Mackey","orcid":"https://orcid.org/0000-0002-7691-1041"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ian Mackey","raw_affiliation_strings":["Cornell University, Ithaca, New York 14850"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, New York 14850","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010929712"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.2466,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49969926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"8","first_page":"473","last_page":"488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983999729156494,"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/T11484","display_name":"Adaptive optics and wavefront sensing","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6992229223251343},{"id":"https://openalex.org/keywords/spacecraft","display_name":"Spacecraft","score":0.6116486191749573},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6112983226776123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6082155108451843},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5350699424743652},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.518828272819519},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5111382603645325},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.44956350326538086},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.331730455160141},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.11377337574958801},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10648167133331299},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08879286050796509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992229223251343},{"id":"https://openalex.org/C29829512","wikidata":"https://www.wikidata.org/wiki/Q40218","display_name":"Spacecraft","level":2,"score":0.6116486191749573},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6112983226776123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6082155108451843},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5350699424743652},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.518828272819519},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5111382603645325},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44956350326538086},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.331730455160141},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.11377337574958801},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10648167133331299},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08879286050796509}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2514/1.i011089","is_oa":false,"landing_page_url":"http://dx.doi.org/10.2514/1.i011089","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1973788353","https://openalex.org/W1997976048","https://openalex.org/W2010914908","https://openalex.org/W2052955814","https://openalex.org/W2056435747","https://openalex.org/W2091845343","https://openalex.org/W2118727653","https://openalex.org/W2151103935","https://openalex.org/W2200632215","https://openalex.org/W2254039850","https://openalex.org/W2260524395","https://openalex.org/W2331128040","https://openalex.org/W2359099468","https://openalex.org/W2509754274","https://openalex.org/W2538005596","https://openalex.org/W2559655401","https://openalex.org/W2560755969","https://openalex.org/W2621121458","https://openalex.org/W2789684973","https://openalex.org/W2792955223","https://openalex.org/W2810821452","https://openalex.org/W2890330644","https://openalex.org/W2927933146","https://openalex.org/W2973184731","https://openalex.org/W3013529009","https://openalex.org/W3092695736","https://openalex.org/W3159754806","https://openalex.org/W3164726289","https://openalex.org/W3171909422","https://openalex.org/W3188101290","https://openalex.org/W3189037067"],"related_works":["https://openalex.org/W2898860390","https://openalex.org/W2118489026","https://openalex.org/W2237025049","https://openalex.org/W2734340365","https://openalex.org/W4377236356","https://openalex.org/W4386105384","https://openalex.org/W2400737216","https://openalex.org/W4384162131","https://openalex.org/W4387655846","https://openalex.org/W2005223122"],"abstract_inverted_index":{"Many":[0],"onboard":[1],"vision":[2,90],"tasks":[3,91],"for":[4,78,88,118],"spacecraft":[5,89],"navigation":[6],"require":[7],"high-quality":[8],"remote-sensing":[9],"images":[10,28,42],"with":[11],"clearly":[12],"decipherable":[13],"features.":[14],"However,":[15],"design":[16],"constraints":[17],"and":[18,21,52,80,96],"the":[19],"operational":[20],"environmental":[22],"conditions":[23],"limit":[24],"their":[25],"quality.":[26],"Enhancing":[27],"through":[29,43],"postprocessing":[30],"is":[31],"a":[32,56,73],"cost-efficient":[33],"solution.":[34],"Current":[35],"deep":[36,74],"learning":[37],"methods":[38],"that":[39,85],"enhance":[40],"low-resolution":[41],"super-resolution":[44,71,104],"do":[45],"not":[46],"quantify":[47],"network":[48,77,100],"uncertainty":[49],"of":[50],"predictions":[51],"are":[53],"trained":[54],"at":[55],"single":[57],"scale,":[58],"which":[59],"hinders":[60],"practical":[61],"integration":[62],"in":[63],"image-acquisition":[64],"pipelines.":[65],"This":[66],"work":[67],"proposes":[68],"performing":[69],"multiscale":[70],"using":[72],"normalizing":[75],"flow":[76],"uncertainty-quantified":[79],"Monte":[81],"Carlo":[82],"estimates":[83],"so":[84],"image":[86],"enhancement":[87],"may":[92],"be":[93],"more":[94],"robust":[95],"predictable.":[97],"The":[98],"proposed":[99],"architecture":[101],"outperforms":[102],"state-of-the-art":[103],"models":[105],"on":[106,115],"in-orbit":[107],"lunar":[108],"imagery":[109],"data.":[110],"Simulations":[111],"demonstrate":[112],"its":[113],"viability":[114],"task-based":[116],"evaluations":[117],"landmark":[119],"identification.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
