{"id":"https://openalex.org/W2279964071","doi":"https://doi.org/10.3390/a9010016","title":"Multiband and Lossless Compression of Hyperspectral Images","display_name":"Multiband and Lossless Compression of Hyperspectral Images","publication_year":2016,"publication_date":"2016-02-18","ids":{"openalex":"https://openalex.org/W2279964071","doi":"https://doi.org/10.3390/a9010016","mag":"2279964071"},"language":"en","primary_location":{"id":"doi:10.3390/a9010016","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a9010016","pdf_url":"https://www.mdpi.com/1999-4893/9/1/16/pdf?version=1455782523","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/9/1/16/pdf?version=1455782523","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073370244","display_name":"Raffaele Pizzolante","orcid":"https://orcid.org/0000-0001-5722-1179"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Raffaele Pizzolante","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano (SA) 84084, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano (SA) 84084, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078634144","display_name":"Bruno Carpentieri","orcid":"https://orcid.org/0000-0003-1960-9986"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Bruno Carpentieri","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano (SA) 84084, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano (SA) 84084, Italy","institution_ids":["https://openalex.org/I131729948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078634144"],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.1862,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84636493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"1","first_page":"16","last_page":"16"},"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":0.9914000034332275,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9804999828338623,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.970096230506897},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.9121313691139221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7794278860092163},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6271670460700989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5528150796890259},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5083605647087097},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5074755549430847},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4991137981414795},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4630577266216278},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4529033601284027},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.44680255651474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39696845412254333},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30625224113464355},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18353456258773804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14795377850532532}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.970096230506897},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.9121313691139221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7794278860092163},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6271670460700989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5528150796890259},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5083605647087097},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5074755549430847},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4991137981414795},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4630577266216278},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4529033601284027},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.44680255651474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39696845412254333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30625224113464355},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18353456258773804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14795377850532532},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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":4,"locations":[{"id":"doi:10.3390/a9010016","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a9010016","pdf_url":"https://www.mdpi.com/1999-4893/9/1/16/pdf?version=1455782523","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:59878","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/59878","pdf_url":"https://zenodo.org/record/59878","source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:41e2a557971a474e9d518a33ee8b9753","is_oa":true,"landing_page_url":"https://doaj.org/article/41e2a557971a474e9d518a33ee8b9753","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 9, Iss 1, p 16 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/9/1/16/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a9010016","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 9; Issue 1; Pages: 16","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a9010016","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a9010016","pdf_url":"https://www.mdpi.com/1999-4893/9/1/16/pdf?version=1455782523","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2279964071.pdf","grobid_xml":"https://content.openalex.org/works/W2279964071.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W7060617","https://openalex.org/W235249250","https://openalex.org/W1496383910","https://openalex.org/W1580101844","https://openalex.org/W1593195020","https://openalex.org/W1964647277","https://openalex.org/W1974782533","https://openalex.org/W2029328220","https://openalex.org/W2038176561","https://openalex.org/W2052987328","https://openalex.org/W2095668662","https://openalex.org/W2095731416","https://openalex.org/W2099050431","https://openalex.org/W2120089534","https://openalex.org/W2132164118","https://openalex.org/W2138630447","https://openalex.org/W2142377456","https://openalex.org/W2142458747","https://openalex.org/W2142714515","https://openalex.org/W2149874402","https://openalex.org/W2151795634","https://openalex.org/W2152595523","https://openalex.org/W2153369878","https://openalex.org/W2154910284","https://openalex.org/W2162051574","https://openalex.org/W2162805509","https://openalex.org/W2798909945","https://openalex.org/W6609194730","https://openalex.org/W6629628318","https://openalex.org/W6681153914","https://openalex.org/W6682725692"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W4327499886","https://openalex.org/W3180760233","https://openalex.org/W4294006383","https://openalex.org/W3202870363","https://openalex.org/W2096442341","https://openalex.org/W2751842002","https://openalex.org/W4210455546"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1,19],"are":[2,77],"widely":[3],"used":[4],"in":[5,31],"several":[6],"real-life":[7],"applications.":[8],"In":[9],"this":[10],"paper,":[11],"we":[12],"investigate":[13],"on":[14,36,49],"the":[15,25,28,68,71,85],"compression":[16,89],"of":[17,27],"hyperspectral":[18,40,92],"by":[20],"considering":[21],"different":[22],"aspects,":[23],"including":[24],"optimization":[26],"computational":[29],"complexity":[30],"order":[32],"to":[33,66,84],"allow":[34],"implementations":[35],"limited":[37],"hardware":[38],"(i.e.,":[39],"sensors,":[41],"etc.).":[42],"We":[43],"present":[44],"an":[45],"approach":[46],"that":[47],"relies":[48],"a":[50],"three-dimensional":[51],"predictive":[52,55],"structure.":[53],"Our":[54],"structure,":[56],"3D-MBLP,":[57],"uses":[58],"one":[59],"or":[60],"more":[61],"previous":[62],"bands":[63],"as":[64],"references":[65],"exploit":[67],"redundancies":[69],"among":[70],"third":[72],"dimension.":[73],"The":[74],"achieved":[75],"results":[76],"comparable,":[78],"and":[79],"often":[80],"better,":[81],"with":[82],"respect":[83],"other":[86],"state-of-art":[87],"lossless":[88],"techniques":[90],"for":[91],"images.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}
