{"id":"https://openalex.org/W2899441849","doi":"https://doi.org/10.1109/jstars.2018.2864921","title":"Universal Golomb\u2013Rice Coding Parameter Estimation Using Deep Belief Networks for Hyperspectral Image Compression","display_name":"Universal Golomb\u2013Rice Coding Parameter Estimation Using Deep Belief Networks for Hyperspectral Image Compression","publication_year":2018,"publication_date":"2018-08-22","ids":{"openalex":"https://openalex.org/W2899441849","doi":"https://doi.org/10.1109/jstars.2018.2864921","mag":"2899441849"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2018.2864921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2018.2864921","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5102510891","display_name":"Zhuocheng Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I82495205","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40","country_code":"US","type":"education","lineage":["https://openalex.org/I82495205"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuocheng Jiang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL, USA","institution_ids":["https://openalex.org/I82495205"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015897741","display_name":"W. David Pan","orcid":"https://orcid.org/0000-0001-7265-2188"},"institutions":[{"id":"https://openalex.org/I82495205","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40","country_code":"US","type":"education","lineage":["https://openalex.org/I82495205"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. David Pan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL, USA"],"raw_orcid":"https://orcid.org/0000-0001-7265-2188","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL, USA","institution_ids":["https://openalex.org/I82495205"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012923796","display_name":"Hongda Shen","orcid":"https://orcid.org/0000-0001-9638-4763"},"institutions":[{"id":"https://openalex.org/I100621029","display_name":"Bank of America","ror":"https://ror.org/006tvg625","country_code":"US","type":"other","lineage":["https://openalex.org/I100621029"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongda Shen","raw_affiliation_strings":["Bank of America Corporation, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-9638-4763","affiliations":[{"raw_affiliation_string":"Bank of America Corporation, New York, NY, USA","institution_ids":["https://openalex.org/I100621029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":0.848,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.79600677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":"10","first_page":"3830","last_page":"3840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9958999752998352,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.791545033454895},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7663860321044922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5365970134735107},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5293819308280945},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.47352930903434753},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.47214794158935547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4142149090766907},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.41301652789115906},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41043224930763245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791545033454895},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7663860321044922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5365970134735107},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5293819308280945},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.47352930903434753},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.47214794158935547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4142149090766907},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.41301652789115906},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41043224930763245},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2018.2864921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2018.2864921","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320312822","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1496383910","https://openalex.org/W1497909013","https://openalex.org/W1587231161","https://openalex.org/W1922168135","https://openalex.org/W1971356997","https://openalex.org/W2030442875","https://openalex.org/W2042492924","https://openalex.org/W2060108852","https://openalex.org/W2095731416","https://openalex.org/W2100495367","https://openalex.org/W2110798204","https://openalex.org/W2115613939","https://openalex.org/W2116064496","https://openalex.org/W2125074870","https://openalex.org/W2135828943","https://openalex.org/W2136922672","https://openalex.org/W2139427956","https://openalex.org/W2153638435","https://openalex.org/W2157700496","https://openalex.org/W2162011942","https://openalex.org/W2163605009","https://openalex.org/W2263490141","https://openalex.org/W2400679416","https://openalex.org/W2502899872","https://openalex.org/W2514015008","https://openalex.org/W2523001693","https://openalex.org/W2611338391","https://openalex.org/W3041939231","https://openalex.org/W4297781872","https://openalex.org/W6629628318","https://openalex.org/W6635092297","https://openalex.org/W6676481782","https://openalex.org/W6684191040","https://openalex.org/W6692956712","https://openalex.org/W6781110724"],"related_works":["https://openalex.org/W2039662546","https://openalex.org/W3156493487","https://openalex.org/W83099425","https://openalex.org/W2054991208","https://openalex.org/W2295051055","https://openalex.org/W3092390618","https://openalex.org/W1513042817","https://openalex.org/W2096000848","https://openalex.org/W1983389437","https://openalex.org/W2002339748"],"abstract_inverted_index":{"For":[0],"efficient":[1],"compression":[2,83,106],"of":[3,29,37,73],"hyperspectral":[4,61,133],"images,":[5],"we":[6,66,139,182,219],"propose":[7,183],"a":[8,44,49,166,184,197,221],"universal":[9],"Golomb-Rice":[10],"coding":[11,41,75,163,212],"parameter":[12,42],"estimation":[13,72,111,242],"method":[14,103],"using":[15,165],"deep":[16,145,168],"belief":[17,146,169],"network,":[18],"which":[19,77],"does":[20],"not":[21],"rely":[22],"on":[23,26,55,91,202],"any":[24],"assumption":[25],"the":[27,30,35,39,56,74,95,101,116,122,161,175,190,203,213,232,241],"distribution":[28],"input":[31,46],"data.":[32],"We":[33,156],"formulate":[34],"problem":[36,227],"selecting":[38],"best":[40,162],"for":[43,125,130,211],"given":[45],"sequence":[47,205],"as":[48,113,115,231],"supervised":[50],"pattern":[51],"classification":[52],"problem.":[53],"Simulations":[54],"synthesized":[57],"data":[58,134],"and":[59,132],"five":[60,154],"image":[62],"datasets":[63,98],"show":[64,99,140,158],"that":[65,100,159],"can":[67,78,193,235],"achieve":[68],"significantly":[69],"more":[70],"accurate":[71],"parameters,":[76],"translate":[79],"to":[80,142,148,206,238],"slightly":[81],"higher":[82],"than":[84],"three":[85],"state-of-the-art":[86],"methods.":[87],"More":[88],"extensive":[89],"simulations":[90],"additional":[92],"images":[93],"from":[94],"2006":[96],"AVIRIS":[97],"proposed":[102],"achieved":[104],"overall":[105],"bitrates":[107],"comparable":[108],"with":[109],"other":[110],"methods,":[112],"well":[114],"sample-adaptive":[117],"entropy":[118],"coder":[119],"employed":[120],"by":[121,152,196],"Consultative":[123],"Committee":[124],"Space":[126],"Data":[127],"Systems":[128],"standard":[129],"multispectral":[131],"compression.":[135],"Regarding":[136],"computational":[137,172],"feasibility,":[138],"how":[141],"use":[143],"transferable":[144],"networks":[147],"speed":[149],"up":[150],"training":[151],"about":[153],"times.":[155],"also":[157],"inferring":[160],"parameters":[164,210],"trained":[167,199],"network":[170,200],"offers":[171],"advantages":[173],"over":[174],"brute-force":[176],"search":[177],"method.":[178],"As":[179,216],"an":[180],"extension,":[181,218],"novel":[185],"side-information":[186],"free":[187],"codec,":[188],"where":[189,226],"intersequence":[191],"correlations":[192],"be":[194,236],"learned":[195],"differently":[198],"based":[201],"current":[204],"predict":[207],"reasonably":[208],"good":[209],"next":[214],"sequence.":[215],"another":[217],"introduce":[220],"variable":[222],"feature":[223],"combination":[224],"architecture,":[225],"specific":[228],"heuristics":[229],"such":[230],"sample":[233],"means":[234],"incorporated":[237],"further":[239],"improve":[240],"accuracy.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}