{"id":"https://openalex.org/W2074075948","doi":"https://doi.org/10.1109/igarss.2015.7326214","title":"On-board lossless compression of solar corona images","display_name":"On-board lossless compression of solar corona images","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2074075948","doi":"https://doi.org/10.1109/igarss.2015.7326214","mag":"2074075948"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://porto.polito.it/2623312/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107957138","display_name":"Marco Ricci","orcid":null},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]},{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Marco Ricci","raw_affiliation_strings":["Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown, West Virginia","Polytechnic University of Turin, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown, West Virginia","institution_ids":["https://openalex.org/I12097938"]},{"raw_affiliation_string":"Polytechnic University of Turin, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034486931","display_name":"Enrico Magli","orcid":"https://orcid.org/0000-0002-0901-0251"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]},{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Enrico Magli","raw_affiliation_strings":["Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown, West Virginia","Polytechnic University of Turin, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown, West Virginia","institution_ids":["https://openalex.org/I12097938"]},{"raw_affiliation_string":"Polytechnic University of Turin, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1837,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57608276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2091","last_page":"2094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991999864578247,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991999864578247,"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":0.9944000244140625,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/lossless-compression","display_name":"Lossless compression","score":0.9019272923469543},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6839373111724854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6286748051643372},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6279244422912598},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5559998750686646},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.49835824966430664},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.45707541704177856},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.445684552192688},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4348592162132263},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40069326758384705},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.374514102935791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3253363072872162},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15462493896484375},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.14677724242210388},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1376132369041443},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11832529306411743}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.9019272923469543},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6839373111724854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6286748051643372},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6279244422912598},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5559998750686646},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.49835824966430664},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.45707541704177856},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.445684552192688},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4348592162132263},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40069326758384705},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.374514102935791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3253363072872162},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15462493896484375},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.14677724242210388},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1376132369041443},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11832529306411743},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2015.7326214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:porto.polito.it:2623312","is_oa":true,"landing_page_url":"http://porto.polito.it/2623312/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:porto.polito.it:2623312","is_oa":true,"landing_page_url":"http://porto.polito.it/2623312/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W79216185","https://openalex.org/W1492380776","https://openalex.org/W2030265202","https://openalex.org/W2917583897","https://openalex.org/W6629490900"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W4327499886","https://openalex.org/W4294006383","https://openalex.org/W3202870363","https://openalex.org/W1680283075","https://openalex.org/W2115343698","https://openalex.org/W2380116549","https://openalex.org/W2096442341","https://openalex.org/W2386792074","https://openalex.org/W3180760233"],"abstract_inverted_index":{"The":[0,43,91],"compression":[1,36,75,81,121],"algorithm":[2,95],"developed":[3],"for":[4,18,139],"METIS":[5],"arises":[6],"from":[7,128],"the":[8,31,50,52,55,69,77,80,94,103,106,109],"standard":[9,32,78],"CCSDS":[10],"123.0-r-1":[11],"[1],":[12],"a":[13,63,83,117,129,136],"lossless":[14,35],"data":[15,85],"compressor":[16],"suitable":[17],"multispectral":[19],"and":[20,23,68,105],"hyperspectral":[21],"imagers":[22],"sounders.":[24],"This":[25],"paper":[26,48],"presents":[27],"an":[28],"extension":[29],"of":[30,46,58,76,82,93,98,108,132],"to":[33,39,54,71,116],"handle":[34],"specifically":[37],"tailored":[38],"solar":[40,59],"corona":[41,60],"images.":[42],"main":[44],"contributions":[45],"this":[47,112],"are":[49],"following:":[51],"adaptation":[53,113],"radial":[56],"geometry":[57,104],"images":[61],"through":[62,79,123],"remapping":[64],"process":[65,114],"called":[66],"\u201cradialization\u201d":[67],"ability":[70],"exploit":[72],"three-dimensional":[73],"image":[74],"multi-temporal":[84],"cube":[86],"composed":[87],"by":[88],"successive":[89],"acquisitions.":[90],"development":[92],"took":[96],"care":[97],"many":[99],"aspects":[100],"based":[101],"on":[102],"nature":[107],"expected":[110],"acquisitions;":[111],"leads":[115],"significant":[118],"increase":[119],"in":[120],"performance":[122],"routines":[124],"resulting":[125],"very":[126],"light":[127],"computational":[130],"point":[131],"view,":[133],"which":[134],"is":[135],"key":[137],"aspect":[138],"on-board":[140],"applications.":[141]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}