{"id":"https://openalex.org/W2884455824","doi":"https://doi.org/10.1109/lgrs.2018.2850938","title":"Multilevel Split Regression Wavelet Analysis for Lossless Compression of Remote Sensing Data","display_name":"Multilevel Split Regression Wavelet Analysis for Lossless Compression of Remote Sensing Data","publication_year":2018,"publication_date":"2018-07-18","ids":{"openalex":"https://openalex.org/W2884455824","doi":"https://doi.org/10.1109/lgrs.2018.2850938","mag":"2884455824"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2850938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2850938","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ddd.uab.cat/pub/artpub/2018/200081/georemsen_a2018m10v15n10p1540.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082803121","display_name":"Sara \u00c1lvarez-Cort\u00e9s","orcid":"https://orcid.org/0000-0003-3244-8080"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Sara Alvarez-Cortes","raw_affiliation_strings":["Department of Information and Communications Engineering, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communications Engineering, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022486855","display_name":"Joan Bartrina-Rapest\u00e0","orcid":"https://orcid.org/0000-0002-1551-3680"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joan Bartrina-Rapesta","raw_affiliation_strings":["Department of Information and Communications Engineering, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communications Engineering, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048546942","display_name":"Joan Serra-Sagrist\u00e0","orcid":"https://orcid.org/0000-0003-4729-9292"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joan Serra-Sagrista","raw_affiliation_strings":["Department of Information and Communications Engineering, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communications Engineering, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082803121"],"corresponding_institution_ids":["https://openalex.org/I123044942"],"apc_list":null,"apc_paid":null,"fwci":0.5316,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71189346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"10","first_page":"1540","last_page":"1544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10901","display_name":"Advanced Data Compression 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/T10688","display_name":"Image and Signal Denoising Methods","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9890999794006348,"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/computer-science","display_name":"Computer science","score":0.6039379835128784},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6004164814949036},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5982113480567932},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.5705811381340027},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5436139106750488},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5390540361404419},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5141992568969727},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.4949735999107361},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4676026403903961},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.45047837495803833},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.4358028173446655},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.43562811613082886},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.41825181245803833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36369168758392334},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36066803336143494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35984599590301514},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.3485981523990631},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.12166780233383179},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.11525225639343262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6039379835128784},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6004164814949036},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5982113480567932},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.5705811381340027},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5436139106750488},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5390540361404419},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5141992568969727},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.4949735999107361},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4676026403903961},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.45047837495803833},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.4358028173446655},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.43562811613082886},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41825181245803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36369168758392334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36066803336143494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35984599590301514},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3485981523990631},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.12166780233383179},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.11525225639343262},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lgrs.2018.2850938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2850938","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:ddd.uab.cat:200081","is_oa":true,"landing_page_url":"https://ddd.uab.cat/record/200081","pdf_url":"https://ddd.uab.cat/pub/artpub/2018/200081/georemsen_a2018m10v15n10p1540.pdf","source":{"id":"https://openalex.org/S4306400381","display_name":"Dip\u00f2sit Digital de Documents de la UAB (Universitat Aut\u00f2noma de Barcelona)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I123044942","host_organization_name":"Universitat Aut\u00f2noma de Barcelona","host_organization_lineage":["https://openalex.org/I123044942"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:dnet:uabarcelona_::44b29f4e004fc6240d954eba1f074ee0","is_oa":false,"landing_page_url":"http://ddd.uab.cat/record/200081","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ddd.uab.cat:200081","is_oa":true,"landing_page_url":"https://ddd.uab.cat/record/200081","pdf_url":"https://ddd.uab.cat/pub/artpub/2018/200081/georemsen_a2018m10v15n10p1540.pdf","source":{"id":"https://openalex.org/S4306400381","display_name":"Dip\u00f2sit Digital de Documents de la UAB (Universitat Aut\u00f2noma de Barcelona)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I123044942","host_organization_name":"Universitat Aut\u00f2noma de Barcelona","host_organization_lineage":["https://openalex.org/I123044942"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G161320355","display_name":null,"funder_award_id":"TIN2015-71126-R","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G7265893248","display_name":null,"funder_award_id":"UAB-PIF-472/2015","funder_id":"https://openalex.org/F4320326826","funder_display_name":"Universitat Aut\u00f2noma de Barcelona"}],"funders":[{"id":"https://openalex.org/F4320326826","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2884455824.pdf","grobid_xml":"https://content.openalex.org/works/W2884455824.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W82961691","https://openalex.org/W1593195020","https://openalex.org/W2052987328","https://openalex.org/W2118217749","https://openalex.org/W2120089534","https://openalex.org/W2140544897","https://openalex.org/W2261264757","https://openalex.org/W2416989340","https://openalex.org/W2619209870","https://openalex.org/W2754723536","https://openalex.org/W2766729876","https://openalex.org/W3145074154","https://openalex.org/W4255867308"],"related_works":["https://openalex.org/W2131702615","https://openalex.org/W2383844503","https://openalex.org/W1499106570","https://openalex.org/W3105615783","https://openalex.org/W2354884987","https://openalex.org/W2136537500","https://openalex.org/W2375774096","https://openalex.org/W2096362443","https://openalex.org/W1981728734","https://openalex.org/W1968682722"],"abstract_inverted_index":{"Spectral":[0],"redundancy":[1],"is":[2,37,80],"a":[3,45,74,89,99],"key":[4],"element":[5],"to":[6,32,102],"be":[7],"exploited":[8],"in":[9,48],"compression":[10],"of":[11,28,85,106],"remote":[12],"sensing":[13],"data.":[14],"Combined":[15],"with":[16,68,82,132],"an":[17],"entropy":[18],"encoder,":[19],"it":[20],"can":[21],"achieve":[22],"competitive":[23],"lossless":[24],"coding":[25,76,113,123,136],"performance.":[26,114],"One":[27],"the":[29,34,38,49,54,58,83,104,112,121,133],"latest":[30],"techniques":[31],"decorrelate":[33],"spectral":[35,50],"signal":[36],"regression":[39],"wavelet":[40,46],"analysis":[41],"(RWA).":[42],"RWA":[43,64,79,107],"applies":[44],"transform":[47],"domain":[51],"and":[52,88,128],"estimates":[53],"detail":[55],"coefficients":[56,60],"through":[57],"approximation":[59],"using":[61],"linear":[62],"regression.":[63],"was":[65],"originally":[66],"coupled":[67,81],"JPEG":[69],"2000.":[70],"This":[71],"letter":[72],"introduces":[73],"novel":[75],"approach,":[77],"where":[78],"predictor":[84],"CCSDS-123.0-B-1":[86],"standard":[87],"lightweight":[90],"contextual":[91],"arithmetic":[92],"coder.":[93],"In":[94],"addition,":[95],"we":[96],"also":[97],"propose":[98],"smart":[100],"strategy":[101],"select":[103],"number":[105],"decomposition":[108],"levels":[109],"that":[110],"maximize":[111],"Experimental":[115],"results":[116],"indicate":[117],"that,":[118],"on":[119],"average,":[120],"obtained":[122],"gains":[124],"vary":[125],"between":[126],"0.1":[127],"1.35":[129],"bits-per-pixel-per-component":[130],"compared":[131],"other":[134],"state-of-the-art":[135],"techniques.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}