{"id":"https://openalex.org/W2049003564","doi":"https://doi.org/10.1109/jstars.2013.2295610","title":"Spectral\u2013Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification","display_name":"Spectral\u2013Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W2049003564","doi":"https://doi.org/10.1109/jstars.2013.2295610","mag":"2049003564"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2013.2295610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2013.2295610","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/A5100418568","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0003-3957-7061"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA","Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA#TAB#","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","[Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"[Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073052384","display_name":"Eric W. Tramel","orcid":"https://orcid.org/0000-0003-4346-0042"},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I98910050","display_name":"ESPCI Paris","ror":"https://ror.org/03zx86w41","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I98910050"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric W. Tramel","raw_affiliation_strings":["\u00c9cole Sup\u00e9rieure de Physique et de Chimie Industrielles (ESPCI), Paris, France","Ecole Super. de Phys. et de Chim. Industrielles, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Sup\u00e9rieure de Physique et de Chimie Industrielles (ESPCI), Paris, France","institution_ids":["https://openalex.org/I98910050"]},{"raw_affiliation_string":"Ecole Super. de Phys. et de Chim. Industrielles, Paris, France","institution_ids":["https://openalex.org/I29607241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111740765","display_name":"Minshan Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minshan Cui","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","Dept. of Electr. & Comput. Eng., Univ. Of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. Of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037823063","display_name":"Saurabh Prasad","orcid":"https://orcid.org/0000-0003-3729-9360"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurabh Prasad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","Dept. of Electr. & Comput. Eng., Univ. Of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. Of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078795882","display_name":"James E. Fowler","orcid":"https://orcid.org/0000-0003-2005-405X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James E. Fowler","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Starville, MS, USA","Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starville, MS, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":16.714,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.99265961,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"7","issue":"4","first_page":"1047","last_page":"1059"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9901999831199646,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8684834837913513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7066196203231812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6439839601516724},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6044878363609314},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.559569776058197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5165194869041443},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4622803032398224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4405040442943573},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.43445709347724915},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.42374956607818604},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42172881960868835},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31520771980285645},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13026663661003113}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8684834837913513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7066196203231812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6439839601516724},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6044878363609314},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.559569776058197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5165194869041443},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4622803032398224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4405040442943573},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.43445709347724915},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.42374956607818604},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42172881960868835},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31520771980285645},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13026663661003113}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2013.2295610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2013.2295610","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.644.1885","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.1885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.msstate.edu/~fowler/Publications/Papers/CLT2014a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3575325950","display_name":null,"funder_award_id":"NSFC-61302164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7791526279","display_name":"ADVANCES IN OPTICAL REMOTE SENSING TECHNOLOGY OVER THE PAST TWO DECADES HAVE ENABLED THE DRAMATIC INCREASE IN SPATIAL, SPECTRAL, AND TEMPORAL DATA NO","funder_award_id":"NNX12AL49G","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1501960917","https://openalex.org/W1968735445","https://openalex.org/W1999567234","https://openalex.org/W2020586934","https://openalex.org/W2043665634","https://openalex.org/W2073704957","https://openalex.org/W2092569534","https://openalex.org/W2099129687","https://openalex.org/W2104269704","https://openalex.org/W2110858941","https://openalex.org/W2111048499","https://openalex.org/W2114819256","https://openalex.org/W2117741752","https://openalex.org/W2120184245","https://openalex.org/W2121076756","https://openalex.org/W2124571274","https://openalex.org/W2124706543","https://openalex.org/W2126517171","https://openalex.org/W2131725398","https://openalex.org/W2132637576","https://openalex.org/W2136251662","https://openalex.org/W2137343229","https://openalex.org/W2142009246","https://openalex.org/W2144151128","https://openalex.org/W2146611644","https://openalex.org/W2148282317","https://openalex.org/W2149846618","https://openalex.org/W2152058911","https://openalex.org/W2153534417","https://openalex.org/W2154240401","https://openalex.org/W2164330327","https://openalex.org/W2164437025","https://openalex.org/W2164769329","https://openalex.org/W2164821350","https://openalex.org/W2171171329","https://openalex.org/W2172009270","https://openalex.org/W2491899631","https://openalex.org/W2541761137","https://openalex.org/W2543013670","https://openalex.org/W4205687621","https://openalex.org/W4320339642"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2343470940"],"abstract_inverted_index":{"Spectral\u2013spatial":[0],"preprocessing":[1],"using":[2],"multihypothesis":[3],"prediction":[4,29],"is":[5,36,47,77],"proposed":[6,48,130],"for":[7,30,122],"improving":[8],"accuracy":[9,136],"of":[10,34,54,64,96,137],"hyperspectral":[11,103,124],"image":[12,104,125],"classification.":[13],"Specifically,":[14],"multiple":[15],"spatially":[16],"collocated":[17],"pixel":[18,32,99],"vectors":[19],"are":[20,90],"used":[21,91],"as":[22,114],"a":[23,28,39,68],"hypothesis":[24,56,66],"set":[25],"from":[26],"which":[27],"each":[31],"vector":[33,142],"interest":[35],"generated.":[37],"Additionally,":[38],"spectral-band-partitioning":[40],"strategy":[41],"based":[42],"on":[43],"inter-band":[44],"correlation":[45],"coefficients":[46],"to":[49,72,116],"improve":[50],"the":[51,55,65,97,117,129,134],"representational":[52],"power":[53],"set.":[57],"To":[58],"calculate":[59],"an":[60,73],"optimal":[61],"linear":[62],"combination":[63],"predictions,":[67],"distance-weighted":[69],"Tikhonov":[70],"regularization":[71],"ill-posed":[74],"least-squares":[75],"optimization":[76],"used.":[78],"The":[79],"resulting":[80],"predictions":[81],"effectively":[82],"integrate":[83],"spectral":[84],"and":[85,88,110,140,150],"spatial":[86,112],"information":[87],"thus":[89],"during":[92],"classification":[93,135],"in":[94],"lieu":[95],"original":[98,118],"vectors.":[100],"This":[101],"processed":[102],"dataset":[105],"has":[106],"less":[107],"intraclass":[108],"variability":[109],"more":[111],"regularity":[113],"compared":[115],"dataset.":[119],"Classification":[120],"results":[121],"two":[123],"datasets":[126],"demonstrate":[127],"that":[128],"method":[131],"can":[132],"enhance":[133],"both":[138],"maximum-likelihood":[139],"support":[141],"classifiers,":[143],"especially":[144],"under":[145],"small":[146],"sample":[147],"size":[148],"constraints":[149],"noise":[151],"corruption.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
