{"id":"https://openalex.org/W2116796676","doi":"https://doi.org/10.1109/tgrs.2004.830644","title":"Application of the stochastic mixing model to hyperspectral resolution enhancement","display_name":"Application of the stochastic mixing model to hyperspectral resolution enhancement","publication_year":2004,"publication_date":"2004-09-01","ids":{"openalex":"https://openalex.org/W2116796676","doi":"https://doi.org/10.1109/tgrs.2004.830644","mag":"2116796676"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2004.830644","doi":"https://doi.org/10.1109/tgrs.2004.830644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2004.830644","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,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"volume":null,"type":"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/A5111734990","display_name":"M.T. Eismann","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]},{"id":"https://openalex.org/I4388482655","display_name":"U.S. Air Force Research Laboratory Sensors Directorate","ror":"https://ror.org/054yf8v46","country_code":"US","type":"funder","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4388482655","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.T. Eismann","raw_affiliation_strings":["Sensors Directorate, Air Force Research Laboratory, OH, USA","Air Force Res. Lab., Wright-Patterson, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sensors Directorate, Air Force Research Laboratory, OH, USA","institution_ids":["https://openalex.org/I1280414376","https://openalex.org/I4388482655"]},{"raw_affiliation_string":"Air Force Res. Lab., Wright-Patterson, OH, USA","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038646284","display_name":"Russell C. Hardie","orcid":"https://orcid.org/0000-0002-1216-3865","observed_orcids":["https://orcid.org/0000-0002-1216-3865"]},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.C. Hardie","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":9.4666,"has_fulltext":false,"cited_by_count":145,"citation_normalized_percentile":{"value":0.97119385,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"42","issue":"9","first_page":"1924","last_page":"1933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9326000213623047,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9326000213623047,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.04659999907016754,"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"}},{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.010400000028312206,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/spatial-resolution-enhancement","display_name":"spatial resolution enhancement","score":0.8920000195503235},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"maximum a posteriori estimation","score":0.972000002861023},{"id":"https://openalex.org/keywords/panchromatic-imagery","display_name":"panchromatic imagery","score":0.6940000057220459},{"id":"https://openalex.org/keywords/spectral-mixing","display_name":"spectral mixing","score":0.6179999709129333},{"id":"https://openalex.org/keywords/cost-function-minimization","display_name":"cost function minimization","score":0.597000002861023},{"id":"https://openalex.org/keywords/principal-components","display_name":"principal components","score":0.4129999876022339}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9620080590248108},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.8919193744659424},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.7786493301391602},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.6304391622543335},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6007466316223145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5533643364906311},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5451428890228271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5092791318893433},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.48553037643432617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47158610820770264},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4137924313545227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3696519136428833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35106247663497925},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.20098403096199036},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13357827067375183},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11158165335655212},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2004.830644","doi":"https://doi.org/10.1109/tgrs.2004.830644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2004.830644","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,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W106665084","https://openalex.org/W1496086072","https://openalex.org/W1522046140","https://openalex.org/W1585035499","https://openalex.org/W1890759464","https://openalex.org/W1947005207","https://openalex.org/W1971180200","https://openalex.org/W1974884110","https://openalex.org/W1982357402","https://openalex.org/W2002329366","https://openalex.org/W2022470997","https://openalex.org/W2029433073","https://openalex.org/W2030585344","https://openalex.org/W2041320831","https://openalex.org/W2048605186","https://openalex.org/W2057962381","https://openalex.org/W2068226542","https://openalex.org/W2129243541","https://openalex.org/W2138339196","https://openalex.org/W2144948131","https://openalex.org/W2165651437","https://openalex.org/W2167120702","https://openalex.org/W2167300849","https://openalex.org/W2301847393","https://openalex.org/W2302265399","https://openalex.org/W4238076146"],"related_works":["https://openalex.org/W2534322662","https://openalex.org/W2100056645","https://openalex.org/W2028851638","https://openalex.org/W3016867217","https://openalex.org/W2104934963","https://openalex.org/W2144948131","https://openalex.org/W2765761734","https://openalex.org/W234585682","https://openalex.org/W2167120702","https://openalex.org/W2170848195"],"abstract_inverted_index":{"A":[0],"maximum":[1],"a":[2,15,19,30,43,101],"posteriori":[3],"(MAP)":[4],"estimation":[5],"method":[6,121,142],"is":[7,79,122,137,143,172],"described":[8],"for":[9,86,107,162],"enhancing":[10],"the":[11,36,49,55,64,68,75,83,95,108,114,118,140,154,160,176,181],"spatial":[12],"resolution":[13,21],"of":[14,29,35,67,74,105,117,153],"hyperspectral":[16,51,57,110,129,156],"image":[17,111,130,157],"using":[18,127],"higher":[20],"coincident":[22],"panchromatic":[23,59],"image.":[24],"The":[25,72],"approach":[26],"makes":[27],"use":[28],"stochastic":[31,76],"mixing":[32,70,77],"model":[33,78],"(SMM)":[34],"underlying":[37],"spectral":[38,69,89],"scene":[39,52],"content":[40],"to":[41,54,81,100,145,175],"develop":[42],"cost":[44],"function":[45],"that":[46,92,98,139],"simultaneously":[47],"optimizes":[48],"estimated":[50],"relative":[53],"observed":[56],"and":[58],"imagery,":[60],"as":[61,63],"well":[62],"local":[65],"statistics":[66],"model.":[71],"incorporation":[73],"found":[80,138],"be":[82],"key":[84],"ingredient":[85],"reconstructing":[87],"subpixel":[88,147],"information":[90,148],"in":[91,149],"it":[93,136],"provides":[94],"necessary":[96],"constraints":[97],"lead":[99],"well-conditioned":[102],"linear":[103],"system":[104],"equations":[106],"high-resolution":[109,155],"estimate.":[112],"Here,":[113],"mathematical":[115],"formulation":[116],"proposed":[119],"MAP":[120],"described.":[123],"Also,":[124],"enhancement":[125,161],"results":[126],"various":[128],"datasets":[131],"are":[132],"provided.":[133],"In":[134],"general,":[135],"MAP/SMM":[141],"able":[144],"reconstruct":[146],"several":[150],"principal":[151,178],"components":[152],"estimate,":[158],"while":[159],"conventional":[163],"methods,":[164],"like":[165],"those":[166],"based":[167],"on":[168],"least":[169],"squares":[170],"estimation,":[171],"limited":[173],"primarily":[174],"first":[177],"component":[179],"(i.e.,":[180],"intensity":[182],"component).":[183]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":7}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
