乐胖代购免代理版

{"id":"https://openalex.org/W2123706269","doi":"https://doi.org/10.1109/36.964993","title":"Near-lossless compression of 3-D optical data","display_name":"Near-lossless compression of 3-D optical data","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W2123706269","doi":"https://doi.org/10.1109/36.964993","mag":"2123706269"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/36.964993","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5035398406","display_name":"Bruno Aiazzi","orcid":"https://orcid.org/0000-0003-3933-2320"},"institutions":[],"countries":["IT"],"is_corresponding":false,"raw_author_name":"B. Aiazzi","raw_affiliation_strings":["Nello Carrara Res. Inst. on Electromagn. Waves, Nat. Res. Council, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Nello Carrara Res. Inst. on Electromagn. Waves, Nat. Res. Council, Florence, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052624884","display_name":"Luciano Alparone","orcid":"https://orcid.org/0000-0002-8984-938X"},"institutions":[{"id":"https://openalex.org/I12970578","display_name":"University of North Alabama","ror":"https://ror.org/0584fj407","country_code":"US","type":"education","lineage":["https://openalex.org/I12970578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Alparone","raw_affiliation_strings":["[Department of Electronics and Telecommunications, University of Florence, Florence, USA]"],"affiliations":[{"raw_affiliation_string":"[Department of Electronics and Telecommunications, University of Florence, Florence, USA]","institution_ids":["https://openalex.org/I12970578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061007254","display_name":"Stefano Baronti","orcid":"https://orcid.org/0000-0003-0492-0886"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. Baronti","raw_affiliation_strings":["[Nello Carrara Research Institute on Electromagnetic Waves (IROE), National Research Council Canada, Florence, Italy]"],"affiliations":[{"raw_affiliation_string":"[Nello Carrara Research Institute on Electromagnetic Waves (IROE), National Research Council Canada, Florence, Italy]","institution_ids":["https://openalex.org/I4210159778"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.321,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":93,"citation_normalized_percentile":{"value":0.970743,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"39","issue":"11","first_page":"2547","last_page":"2557"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9996,"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":0.9996,"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":0.9937,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9936,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4878271}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8551613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978674},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.684946},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5971232},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5296818},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4878271},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.42647764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36484188},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13653415},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11078888}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/36.964993","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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":30,"referenced_works":["https://openalex.org/W1503197318","https://openalex.org/W1518500973","https://openalex.org/W1522006564","https://openalex.org/W1556611829","https://openalex.org/W1995211032","https://openalex.org/W1998384771","https://openalex.org/W2002030826","https://openalex.org/W2043940039","https://openalex.org/W2048916503","https://openalex.org/W2054954425","https://openalex.org/W2089816279","https://openalex.org/W2099778990","https://openalex.org/W2101490159","https://openalex.org/W2106069920","https://openalex.org/W2111216493","https://openalex.org/W2111441522","https://openalex.org/W2113076747","https://openalex.org/W2126764090","https://openalex.org/W2129652681","https://openalex.org/W2131757244","https://openalex.org/W2137923603","https://openalex.org/W2153638435","https://openalex.org/W2162445324","https://openalex.org/W2163895698","https://openalex.org/W2168202799","https://openalex.org/W2169567041","https://openalex.org/W2171033838","https://openalex.org/W2172289734","https://openalex.org/W2186435531","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4327499886","https://openalex.org/W4294006383","https://openalex.org/W4210455546","https://openalex.org/W3210332869","https://openalex.org/W3180760233","https://openalex.org/W3080614128","https://openalex.org/W2751842002","https://openalex.org/W2547124190","https://openalex.org/W2385628723","https://openalex.org/W2096442341"],"abstract_inverted_index":{"Near-lossless":[0],"compression":[1,11],"yielding":[2],"strictly":[3,107],"bounded":[4],"reconstruction":[5,85],"error":[6],"is":[7,24,39,79],"proposed":[8],"for":[9,26,61,64],"high-quality":[10],"of":[12,51,76,91],"remote":[13],"sensing":[14],"images.":[15],"A":[16],"classified":[17,43],"causal":[18],"differential":[19],"pulse":[20],"code":[21],"modulation":[22],"scheme":[23],"presented":[25],"optical":[27],"data,":[28],"either":[29],"multi/hyperspectral":[30],"three-dimensional":[31],"(3-D)":[32],"or":[33],"panchromatic":[34],"two-dimensional":[35],"(2-D)":[36],"observations.":[37],"It":[38],"based":[40],"on":[41],"a":[42],"linear-regression":[44],"prediction,":[45],"followed":[46],"by":[47],"context-based":[48],"arithmetic":[49],"coding":[50],"the":[52,84,89,92,95],"outcome":[53],"prediction":[54],"errors":[55,86],"and":[56,63],"provides":[57],"excellent":[58],"performances,":[59],"both":[60],"reversible":[62],"irreversible":[65],"(near-lossless)":[66],"compression.":[67],"Coding":[68],"times":[69],"are":[70],"affordable":[71],"thanks":[72],"to":[73],"fast":[74],"convergence":[75],"training.":[77],"Decoding":[78],"always":[80],"real":[81],"time.":[82],"If":[83],"fall":[87],"within":[88],"boundaries":[90],"noise":[93],"distributions,":[94],"decoded":[96],"images":[97],"will":[98],"be":[99],"virtually":[100],"lossless":[101],"even":[102],"though":[103],"encoding":[104],"was":[105],"not":[106],"reversible.":[108]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2123706269","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2024-12-09T13:32:05.867906","created_date":"2016-06-24"}