{"id":"https://openalex.org/W186034938","doi":"https://doi.org/10.1007/0-387-28600-4_8","title":"Predictive Coding of Hyperspectral Images","display_name":"Predictive Coding of Hyperspectral Images","publication_year":2006,"publication_date":"2006-06-02","ids":{"openalex":"https://openalex.org/W186034938","doi":"https://doi.org/10.1007/0-387-28600-4_8","mag":"186034938"},"language":"en","primary_location":{"id":"doi:10.1007/0-387-28600-4_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/0-387-28600-4_8","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hyperspectral Data Compression","raw_type":"book-chapter"},"type":"book-chapter","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/A5075867361","display_name":"Agnieszka Miguel","orcid":null},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Agnieszka C. Miguel","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Seattle University, Seattle","Seattle University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Seattle University, Seattle","institution_ids":["https://openalex.org/I58610484"]},{"raw_affiliation_string":"Seattle University","institution_ids":["https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043369298","display_name":"Richard E. Ladner","orcid":"https://orcid.org/0000-0001-9413-6774"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard E. Ladner","raw_affiliation_strings":["Dept. of Computer Science and Engineering, University of Washington, Seattle","University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of Washington, Seattle","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057736319","display_name":"E.A. Riskin","orcid":"https://orcid.org/0000-0002-8813-6521"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eve A. Riskin","raw_affiliation_strings":["Dept. of Electrical Engineering, University of Washington, Seattle","University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University of Washington, Seattle","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003894282","display_name":"Scott Hauck","orcid":"https://orcid.org/0000-0001-9516-0311"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Hauck","raw_affiliation_strings":["Dept. of Electrical Engineering, University of Washington, Seattle","University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University of Washington, Seattle","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070034202","display_name":"Dane K. Barney","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dane K. Barney","raw_affiliation_strings":["Dept. of Computer Science and Engineering, University of Washington, Seattle","University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of Washington, Seattle","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083674772","display_name":"\u2021Amanda R. Askew","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u2021Amanda R. Askew","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033414684","display_name":"Alexander Chang","orcid":"https://orcid.org/0000-0001-7096-7151"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Chang","raw_affiliation_strings":["Dept. of Computer Science and Engineering, University of Washington, Seattle","University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of Washington, Seattle","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.64107413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":1.0,"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":0.9955999851226807,"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":0.9921000003814697,"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":0.8554626703262329},{"id":"https://openalex.org/keywords/predictive-coding","display_name":"Predictive coding","score":0.5439247488975525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5188630819320679},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.49796104431152344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48112717270851135},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42546141147613525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34028327465057373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21240746974945068},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07396259903907776}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8554626703262329},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.5439247488975525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5188630819320679},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.49796104431152344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48112717270851135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42546141147613525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34028327465057373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21240746974945068},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07396259903907776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/0-387-28600-4_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/0-387-28600-4_8","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hyperspectral Data Compression","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1566504545","https://openalex.org/W1633843876","https://openalex.org/W1634005169","https://openalex.org/W1919844839","https://openalex.org/W1982512167","https://openalex.org/W1988615825","https://openalex.org/W1995211032","https://openalex.org/W1998384771","https://openalex.org/W2048916503","https://openalex.org/W2054954425","https://openalex.org/W2084772916","https://openalex.org/W2101490159","https://openalex.org/W2103229305","https://openalex.org/W2106069920","https://openalex.org/W2108517747","https://openalex.org/W2108600601","https://openalex.org/W2111174222","https://openalex.org/W2114372480","https://openalex.org/W2116911065","https://openalex.org/W2117561860","https://openalex.org/W2123349488","https://openalex.org/W2128960784","https://openalex.org/W2130339531","https://openalex.org/W2130889442","https://openalex.org/W2132235361","https://openalex.org/W2132977182","https://openalex.org/W2133078112","https://openalex.org/W2138596445","https://openalex.org/W2142276208","https://openalex.org/W2152595523","https://openalex.org/W2153107790","https://openalex.org/W2157312267","https://openalex.org/W2161488606","https://openalex.org/W2162051574","https://openalex.org/W2162256416","https://openalex.org/W2186435531","https://openalex.org/W2913399920","https://openalex.org/W3145128584","https://openalex.org/W4240241513","https://openalex.org/W4244017338","https://openalex.org/W4246185962","https://openalex.org/W4301332134","https://openalex.org/W4301690602","https://openalex.org/W6676376460","https://openalex.org/W6677622397"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W2343470940","https://openalex.org/W3034864990"],"abstract_inverted_index":{"Algorithms":[0],"for":[1],"lossless":[2,166],"and":[3,21,76,92,110,134,153,224],"lossy":[4,185],"compression":[5,160,167,214],"of":[6,27,68,80,123,149,155,183,200,218],"hyperspectral":[7],"images":[8,20],"are":[9],"presented.":[10],"To":[11,141,179],"greatly":[12],"reduce":[13,180],"the":[14,24,33,40,50,58,66,69,78,81,135,143,147,159,181,184,205],"bit":[15,189],"rate":[16],"required":[17],"to":[18,22,216],"code":[19],"exploit":[23],"large":[25],"amount":[26],"inter-band":[28],"correlation,":[29],"linear":[30],"prediction":[31,51,145,156],"between":[32],"bands":[34],"is":[35,43,52,55,139,162,172,207],"used.":[36],"Each":[37],"band,":[38,133],"except":[39],"first":[41],"one,":[42],"predicted":[44],"by":[45,88,105],"previously":[46],"transmitted":[47],"band.":[48],"Once":[49],"formed,":[53],"it":[54],"subtracted":[56],"from":[57],"original":[59],"\u2217This":[60],"work":[61],"appeared":[62],"in":[63,65,77,103],"part":[64,104],"Proceedings":[67,79],"NASA":[70,89],"Earth":[71],"Science":[72,94],"Technology":[73],"Conference,":[74,84],"2003,":[75],"Data":[82],"Compression":[83],"2004.":[85],"Research":[86,115],"supported":[87,102],"Contract":[90],"NAS5-00213":[91],"National":[93],"Foundation":[95],"grant":[96],"number":[97],"CCR-0104800.":[98],"Scott":[99],"Hauck":[100],"was":[101],"an":[106,111],"NSF":[107],"CAREER":[108],"Award":[109],"Alfred":[112],"P.":[113],"Sloan":[114],"Fellowship.":[116],"Contact":[117],"information:":[118],"Professor":[119],"Richard":[120],"Ladner,":[121],"University":[122],"Washington,":[124],"Box":[125],"352500,":[126],"Seattle,":[127],"WA":[128],"981952500,":[129],"(206)":[130],"543-9347,":[131],"ladner@cs.washington.edu.":[132],"residual":[136],"(difference":[137],"image)":[138],"compressed.":[140],"find":[142],"best":[144],"algorithm,":[146],"impact":[148],"various":[150],"band":[151,203],"orderings":[152],"measures":[154],"quality":[157],"on":[158],"ratios":[161,215],"studied.":[163],"The":[164,209],"resulting":[165],"algorithm":[168],"displays":[169],"performance":[170],"that":[171,194,217],"comparable":[173],"with":[174],"other":[175],"recently":[176],"published":[177],"results.":[178],"complexity":[182],"predictive":[186,222],"encoder,":[187],"a":[188,201,226],"plane-synchronized":[190],"closed":[191,220],"loop":[192,221],"predictor":[193],"does":[195],"not":[196],"require":[197],"full":[198],"decompression":[199],"previous":[202],"at":[204],"encoder":[206],"proposed.":[208],"new":[210],"technique":[211],"achieves":[212],"similar":[213],"standard":[219],"coding":[223],"has":[225],"simpler":[227],"implementation.":[228]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}