{"id":"https://openalex.org/W1523282099","doi":"https://doi.org/10.1109/jstars.2015.2439031","title":"Enhanced Unmixing-Based Hyperspectral Image Denoising Using Spatial Preprocessing","display_name":"Enhanced Unmixing-Based Hyperspectral Image Denoising Using Spatial Preprocessing","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1523282099","doi":"https://doi.org/10.1109/jstars.2015.2439031","mag":"1523282099"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2439031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2439031","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/A5012871125","display_name":"Alp Ert\u00fcrk","orcid":"https://orcid.org/0000-0002-9848-5346"},"institutions":[{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Alp Erturk","raw_affiliation_strings":["Kocaeli University Laboratory of Image and Signal Processing (KULIS), Electronics and Telecommunications Engineering Department, Kocaeli University, Kocaeli, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kocaeli University Laboratory of Image and Signal Processing (KULIS), Electronics and Telecommunications Engineering Department, Kocaeli University, Kocaeli, Turkey","institution_ids":["https://openalex.org/I51826884"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012871125"],"corresponding_institution_ids":["https://openalex.org/I51826884"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":null,"fwci":3.6752,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93112401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"6","first_page":"2720","last_page":"2727"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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/endmember","display_name":"Endmember","score":0.9892593622207642},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9292443990707397},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7847133874893188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6638283729553223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6214789748191833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6204516291618347},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5665961503982544},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4719972610473633},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4352726936340332},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41770613193511963},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.4128960967063904},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31322094798088074},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2938147187232971},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1542074978351593}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9892593622207642},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9292443990707397},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7847133874893188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6638283729553223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6214789748191833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6204516291618347},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5665961503982544},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4719972610473633},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4352726936340332},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41770613193511963},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.4128960967063904},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31322094798088074},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2938147187232971},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1542074978351593}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2015.2439031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2439031","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:55811bd9-82ae-4105-9ae2-009f41fab9a4","is_oa":false,"landing_page_url":"https://avesis.kocaeli.edu.tr/publication/details/55811bd9-82ae-4105-9ae2-009f41fab9a4/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055291","display_name":"Kocaeli \u00dcniversitesi - AVES\u0130S","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337610","display_name":"Skaggs School of Pharmacy and Pharmaceutical Sciences","ror":"https://ror.org/0168r3w48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W628438000","https://openalex.org/W1976615758","https://openalex.org/W1986909036","https://openalex.org/W2046490565","https://openalex.org/W2047870694","https://openalex.org/W2059976262","https://openalex.org/W2060403006","https://openalex.org/W2070424424","https://openalex.org/W2070781258","https://openalex.org/W2097153652","https://openalex.org/W2102159812","https://openalex.org/W2114486983","https://openalex.org/W2122944810","https://openalex.org/W2124267685","https://openalex.org/W2124463804","https://openalex.org/W2127062304","https://openalex.org/W2128090514","https://openalex.org/W2129891925","https://openalex.org/W2130939260","https://openalex.org/W2153885347","https://openalex.org/W2156220628","https://openalex.org/W2156458885","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2295820431","https://openalex.org/W2321304863","https://openalex.org/W2478493250","https://openalex.org/W4233760599"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W2791078257","https://openalex.org/W2798328034","https://openalex.org/W2099703033","https://openalex.org/W2728548987","https://openalex.org/W2127934268","https://openalex.org/W2890371384","https://openalex.org/W2120480074","https://openalex.org/W2036412792","https://openalex.org/W2039721451"],"abstract_inverted_index":{"Unmixing":[0],"provides":[1,181],"a":[2,164],"summary":[3,165],"of":[4,42,89,168],"hyperspectral":[5,23],"data":[6,170],"and":[7,127,146],"is":[8],"useful":[9],"for":[10,37],"many":[11],"image":[12,24],"processing":[13],"tasks.":[14],"Recently,":[15],"spectral":[16,32,53,93],"unmixing":[17],"has":[18,34,56],"also":[19,122,187],"been":[20,35,57],"introduced":[21],"to":[22,78,92,95,101,113,152],"denoising":[25,115,184],"literature.":[26],"However,":[27],"so":[28],"far,":[29],"only":[30],"the":[31,43,48,71,87,97,119,129,153,178,189],"information":[33],"utilized":[36],"unmixing-based":[38,183],"denoising.":[39],"While":[40],"most":[41],"endmember":[44,66,98,107],"extraction":[45,67,99,108],"methods":[46,63],"in":[47,81,110,163,173],"literature":[49],"rely":[50],"solely":[51],"on":[52],"information,":[54],"it":[55],"shown":[58],"that":[59,73],"spatial-spectral":[60],"preprocessing":[61,156],"(SSPP)":[62],"can":[64],"enhance":[65],"performance":[68,109],"by":[69],"utilizing":[70],"assumption":[72],"endmembers":[74,162],"are":[75],"more":[76],"likely":[77],"be":[79,149],"located":[80],"homogenous":[82,103],"regions.":[83,104],"This":[84],"letter":[85],"proposes":[86],"use":[88],"SSPP":[90],"prior":[91],"unmixing,":[94],"guide":[96],"process":[100],"spatially":[102],"The":[105],"enhanced":[106,114,182],"turn":[111],"leads":[112],"performance.":[116],"In":[117,176],"addition,":[118],"proposed":[120,179],"approach":[121,180],"goes":[123],"one":[124],"step":[125],"further":[126],"retains":[128],"anomalous/scarce":[130],"endmembers,":[131,136],"which":[132,147],"may":[133,148,171],"include":[134],"important":[135],"such":[137,160],"as":[138],"rare":[139],"minerals,":[140],"stressed":[141],"crops,":[142],"or":[143,166],"military":[144],"targets,":[145],"lost":[150],"due":[151],"included":[154],"spatial":[155],"(SPP)":[157],"steps.":[158],"Discarding":[159],"anomalous":[161,190],"compression":[167],"big":[169],"result":[172],"undesired":[174],"consequences.":[175],"short,":[177],"performance,":[185],"while":[186],"retaining":[188],"endmembers.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":8}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
