{"id":"https://openalex.org/W3137854692","doi":"https://doi.org/10.1109/cbmi50038.2021.9461879","title":"Compression of Solar Spectroscopic Observations: a Case Study of Mg II k Spectral Line Profiles Observed by NASA's IRIS Satellite","display_name":"Compression of Solar Spectroscopic Observations: a Case Study of Mg II k Spectral Line Profiles Observed by NASA's IRIS Satellite","publication_year":2021,"publication_date":"2021-06-24","ids":{"openalex":"https://openalex.org/W3137854692","doi":"https://doi.org/10.1109/cbmi50038.2021.9461879","mag":"3137854692"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi50038.2021.9461879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi50038.2021.9461879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.07373","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079568245","display_name":"Viacheslav M. Sadykov","orcid":"https://orcid.org/0000-0002-4001-1295"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viacheslav M Sadykov","raw_affiliation_strings":["Georgia State University,Physics & Astronomy Department,Atlanta,GA,USA","Georgia State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia State University,Physics & Astronomy Department,Atlanta,GA,USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Georgia State University","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004618603","display_name":"Irina Kitiashvili","orcid":"https://orcid.org/0000-0003-4144-2270"},"institutions":[{"id":"https://openalex.org/I1280536761","display_name":"Ames Research Center","ror":"https://ror.org/02acart68","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Irina N Kitiashvili","raw_affiliation_strings":["NASA Ames Research Center,NASA Supercomputing Division,Moffett Field,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASA Ames Research Center,NASA Supercomputing Division,Moffett Field,CA,USA","institution_ids":["https://openalex.org/I1280536761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007688083","display_name":"A. Sainz Dalda","orcid":"https://orcid.org/0000-0002-3234-3070"},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alberto Sainz Dalda","raw_affiliation_strings":["Lockheed Martin,Solar &#x0026; Astrophysics Laboratory,Palo Alto,CA,USA","Lockheed Martin,Solar & Astrophysics Laboratory,Palo Alto,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin,Solar &#x0026; Astrophysics Laboratory,Palo Alto,CA,USA","institution_ids":["https://openalex.org/I1287521167"]},{"raw_affiliation_string":"Lockheed Martin,Solar & Astrophysics Laboratory,Palo Alto,CA,USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081226122","display_name":"Vincent Oria","orcid":"https://orcid.org/0000-0003-4345-243X"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent Oria","raw_affiliation_strings":["New Jersey Institute of Technology,Computer Science Department,Newark,NJ,USA","New Jersey Inst. of Technology#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Computer Science Department,Newark,NJ,USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"New Jersey Inst. of Technology#TAB#","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055414639","display_name":"\u0410. \u0413. \u041a\u043e\u0441\u043e\u0432\u0438\u0447\u0435\u0432","orcid":"https://orcid.org/0000-0003-0364-4883"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander G Kosovichev","raw_affiliation_strings":["New Jersey Institute of Technology,Physics Department,Newark,NJ,USA","New Jersey Inst. of Technology#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Physics Department,Newark,NJ,USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"New Jersey Inst. of Technology#TAB#","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003986244","display_name":"Egor Illarionov","orcid":"https://orcid.org/0000-0002-2858-9625"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Egor Illarionov","raw_affiliation_strings":["Moscow State University,Department of Mechanics and Mathematics,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Moscow State University,Department of Mechanics and Mathematics,Moscow,Russia","institution_ids":["https://openalex.org/I19880235"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02804797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10251","display_name":"Solar and Space Plasma Dynamics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10251","display_name":"Solar and Space Plasma Dynamics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10039","display_name":"Stellar, planetary, and galactic studies","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12917","display_name":"Astronomy and Astrophysical Research","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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/overfitting","display_name":"Overfitting","score":0.6587687134742737},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5296915173530579},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5083274245262146},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.455493301153183},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.45162808895111084},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4322901666164398},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.42064934968948364},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.41089385747909546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40792521834373474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3838406801223755},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3521793782711029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3392767012119293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3358650207519531},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32546257972717285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31715279817581177},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21393203735351562},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.19558849930763245},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1744878590106964},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15681162476539612},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09312605857849121}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6587687134742737},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5296915173530579},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5083274245262146},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.455493301153183},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.45162808895111084},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4322901666164398},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.42064934968948364},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41089385747909546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40792521834373474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3838406801223755},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3521793782711029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3392767012119293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3358650207519531},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32546257972717285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31715279817581177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21393203735351562},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.19558849930763245},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1744878590106964},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15681162476539612},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09312605857849121},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cbmi50038.2021.9461879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi50038.2021.9461879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2103.07373","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.07373","pdf_url":"https://arxiv.org/pdf/2103.07373","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3137854692","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2103.07373.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2103.07373","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.07373","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.07373","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.07373","pdf_url":"https://arxiv.org/pdf/2103.07373","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320322037","display_name":"Nuclear Safety and Security Commission","ror":"https://ror.org/05qk3ge34"},{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"},{"id":"https://openalex.org/F4320332374","display_name":"Ames Research Center","ror":"https://ror.org/02acart68"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3137854692.pdf","grobid_xml":"https://content.openalex.org/works/W3137854692.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1801532934","https://openalex.org/W1959608418","https://openalex.org/W1973133885","https://openalex.org/W2160284862","https://openalex.org/W2803339376","https://openalex.org/W2899771611","https://openalex.org/W2936899186","https://openalex.org/W2964121744","https://openalex.org/W3036062946","https://openalex.org/W3048852253","https://openalex.org/W3099945979","https://openalex.org/W3101051652","https://openalex.org/W3121473479","https://openalex.org/W3158404915","https://openalex.org/W3163003669","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6756040250","https://openalex.org/W6779630880"],"related_works":["https://openalex.org/W3174236550","https://openalex.org/W2014193994","https://openalex.org/W2887514443","https://openalex.org/W2078667675","https://openalex.org/W3025608019","https://openalex.org/W2023099064","https://openalex.org/W2001033406","https://openalex.org/W1577651222","https://openalex.org/W2076839684","https://openalex.org/W3105480629","https://openalex.org/W2878912410","https://openalex.org/W1970007091","https://openalex.org/W2124723468","https://openalex.org/W1564834577","https://openalex.org/W1487762982","https://openalex.org/W373715904","https://openalex.org/W2160225526","https://openalex.org/W2325347738","https://openalex.org/W1990334808","https://openalex.org/W3100396845"],"abstract_inverted_index":{"In":[0,230],"this":[1,270],"study":[2],"we":[3],"extract":[4],"the":[5,10,13,37,46,49,81,84,96,101,114,125,128,149,152,160,170,173,223,239,253,267],"deep":[6],"features":[7,220,236],"and":[8,52,71,159,181,213,244,265,279],"investigate":[9],"compression":[11],"of":[12,32,48,83,127,163,172,233,269],"Mg":[14,57],"II":[15,58],"k":[16,59],"spectral":[17,115],"line":[18,33,60,116,153,240,242,245,263],"profiles":[19,34,61,117,264],"observed":[20,189],"in":[21,151,192,272],"quiet":[22],"Sun":[23],"regions":[24],"by":[25],"NASA's":[26],"IRIS":[27],"satellite.":[28],"The":[29,65,74,89,155,188,219,249],"data":[30,63,66,129,277],"set":[31],"used":[35,78],"for":[36,185,194,222,261,274],"analysis":[38],"was":[39,77,93],"obtained":[40,208],"on":[41,95],"April":[42],"20th,":[43],"2020,":[44],"at":[45],"center":[47],"solar":[50],"disc,":[51],"contains":[53],"almost":[54,182],"300,000":[55],"individual":[56],"after":[62],"cleaning.":[64],"are":[67,217,252],"separated":[68],"into":[69],"train":[70,75,80],"test":[72,97],"subsets.":[73],"subset":[76,98],"to":[79,99,112,124,133,148,179,256],"autoencoder":[82],"varying":[85],"embedding":[86,174,204,260],"layer":[87,175],"size.":[88],"early":[90],"stopping":[91],"criterion":[92],"implemented":[94],"prevent":[100],"model":[102],"from":[103,131,177],"overfitting.":[104],"Our":[105],"results":[106,251],"indicate":[107,199],"that":[108,200],"it":[109],"is":[110,146],"possible":[111],"compress":[113],"more":[118],"than":[119,197],"27":[120],"times":[121,216],"(which":[122],"corresponds":[123],"reduction":[126],"dimensionality":[130,171],"110":[132],"4)":[134],"while":[135],"having":[136],"a":[137,201,258],"4":[138,180,198],"DN":[139],"(Data":[140],"Number)":[141],"average":[142],"reconstruction":[143,161],"error,":[144],"which":[145],"comparable":[147],"variations":[150],"continuum.":[154],"mean":[156],"squared":[157],"error":[158,162],"even":[164],"statistical":[165],"moments":[166],"sharply":[167],"decrease":[168],"when":[169],"increases":[176],"1":[178],"stop":[183],"decreasing":[184],"higher":[186,196],"numbers.":[187],"occasional":[190],"improvements":[191],"training":[193,211,215],"values":[195],"better":[202],"compact":[203,259],"may":[205],"potentially":[206],"be":[207,228],"if":[209],"other":[210],"strategies":[212],"longer":[214],"used.":[218],"learned":[221],"critical":[224],"four-dimensional":[225],"case":[226],"can":[227],"interpreted.":[229],"particular,":[231],"three":[232],"these":[234],"four":[235],"mainly":[237],"control":[238],"width,":[241],"asymmetry,":[243],"dip":[246],"formation":[247],"respectively.":[248],"presented":[250],"first":[254],"attempt":[255],"obtain":[257],"spectroscopic":[262],"confirm":[266],"value":[268],"approach,":[271],"particular":[273],"feature":[275],"extraction,":[276],"compression,":[278],"denoising.":[280]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
