{"id":"https://openalex.org/W2078404340","doi":"https://doi.org/10.1109/jstars.2014.2329322","title":"Hyperspectral Imagery Denoising Based on Oblique Subspace Projection","display_name":"Hyperspectral Imagery Denoising Based on Oblique Subspace Projection","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2078404340","doi":"https://doi.org/10.1109/jstars.2014.2329322","mag":"2078404340"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2329322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2329322","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/A5100391080","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-5906-1890"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603648","display_name":"Lifu Zhang","orcid":"https://orcid.org/0000-0002-3533-9966"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifu Zhang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109327826","display_name":"Qingxi Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxi Tong","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015661510","display_name":"Feizhou Zhang","orcid":"https://orcid.org/0009-0009-7083-707X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feizhou Zhang","raw_affiliation_strings":["School of Earth and Space Sciences, Peking University, Beijing, China","School of Earth & Space Sciences Peking University Beijing China"],"affiliations":[{"raw_affiliation_string":"School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Earth & Space Sciences Peking University Beijing China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100391080"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210166112","https://openalex.org/I4210165038","https://openalex.org/I4210128053"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":3.05408964,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.92588633,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"7","issue":"6","first_page":"2468","last_page":"2480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.635068416595459},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6124712824821472},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6089088916778564},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5990426540374756},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5959218144416809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.51663738489151},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5048404335975647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49042531847953796},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.4871620833873749},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4855160713195801},{"id":"https://openalex.org/keywords/oblique-projection","display_name":"Oblique projection","score":0.47532323002815247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.452217698097229},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43573832511901855},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.424784779548645},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.4240989089012146},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.3487274646759033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3407270312309265},{"id":"https://openalex.org/keywords/orthographic-projection","display_name":"Orthographic projection","score":0.33658847212791443},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20866575837135315},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.12995290756225586}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.635068416595459},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6124712824821472},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6089088916778564},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5990426540374756},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5959218144416809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.51663738489151},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5048404335975647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49042531847953796},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.4871620833873749},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4855160713195801},{"id":"https://openalex.org/C161666082","wikidata":"https://www.wikidata.org/wiki/Q14551923","display_name":"Oblique projection","level":3,"score":0.47532323002815247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.452217698097229},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43573832511901855},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.424784779548645},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.4240989089012146},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3487274646759033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3407270312309265},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.33658847212791443},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20866575837135315},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.12995290756225586}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2014.2329322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2329322","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":[{"id":"https://openalex.org/G2213568264","display_name":null,"funder_award_id":"41272364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4754980784","display_name":null,"funder_award_id":"41201348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G932019722","display_name":null,"funder_award_id":"41371362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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":38,"referenced_works":["https://openalex.org/W131753375","https://openalex.org/W248591590","https://openalex.org/W994592074","https://openalex.org/W1533162639","https://openalex.org/W1977066218","https://openalex.org/W1993798453","https://openalex.org/W2010797000","https://openalex.org/W2014374676","https://openalex.org/W2018521688","https://openalex.org/W2035582770","https://openalex.org/W2063220925","https://openalex.org/W2063651921","https://openalex.org/W2069906007","https://openalex.org/W2073786624","https://openalex.org/W2074342013","https://openalex.org/W2087399108","https://openalex.org/W2095832449","https://openalex.org/W2099301440","https://openalex.org/W2101971242","https://openalex.org/W2127141393","https://openalex.org/W2127229869","https://openalex.org/W2132184828","https://openalex.org/W2133665775","https://openalex.org/W2140702875","https://openalex.org/W2145189216","https://openalex.org/W2146212169","https://openalex.org/W2147353113","https://openalex.org/W2147898038","https://openalex.org/W2151974244","https://openalex.org/W2156069890","https://openalex.org/W2165755981","https://openalex.org/W2371220279","https://openalex.org/W2384078658","https://openalex.org/W3133603318","https://openalex.org/W4229921563","https://openalex.org/W4385226001","https://openalex.org/W6626122873","https://openalex.org/W6681735868"],"related_works":["https://openalex.org/W3021129567","https://openalex.org/W2320608497","https://openalex.org/W2033523051","https://openalex.org/W2358699617","https://openalex.org/W2321134774","https://openalex.org/W4251903213","https://openalex.org/W4237006605","https://openalex.org/W1986264582","https://openalex.org/W2372186565","https://openalex.org/W2557490777"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"hyperspectral":[4],"imagery":[5],"denoising":[6],"algorithm":[7,23,97,125],"based":[8],"on":[9,116,159,179],"oblique":[10,76],"subspace":[11,63,77,107],"projection":[12,78,108],"(DOBSP),":[13],"which":[14,34,110,126],"considers":[15],"the":[16,26,40,81,88,95,119,132,160,166,173,180],"correlation":[17],"between":[18,134],"noise":[19,29,50,84,113,122,135,146,155,174],"and":[20,28,49,80,83,101,118,136,145,150,154,170,172],"signal.":[21],"The":[22,105],"first":[24],"estimates":[25,51],"signal":[27,48,82,117,137,144,153,169],"through":[30,91],"segmentation":[31],"Gaussian":[32,45],"filtering":[33],"can":[35],"reduce":[36],"more":[37],"influence":[38],"of":[39,75],"image":[41,90,162,175,182],"texture":[42],"than":[43],"traditional":[44],"filtering.":[46],"Then,":[47],"are":[52,70,85,163],"fed":[53],"into":[54],"principal":[55],"component":[56],"analysis":[57],"(PCA)":[58],"to":[59,72,130,165],"identify":[60],"their":[61],"respective":[62],"basis":[64,68],"vectors.":[65],"Finally,":[66],"these":[67],"vectors":[69],"used":[71],"compute":[73],"matrices":[74],"(OBSP),":[79],"extracted":[86,156],"from":[87],"original":[89,167],"OBSP.":[92],"We":[93],"assessed":[94],"DOBSP":[96,158,178],"using":[98],"both":[99,152],"simulated":[100,161,168],"real":[102],"Hyperion":[103,181],"images.":[104],"orthogonal":[106],"(OSP)":[109],"assumes":[111],"that":[112],"is":[114],"independent":[115],"subspace-based":[120],"striping":[121],"reduction":[123],"(SBSR)":[124],"uses":[127],"polynomial":[128],"model":[129],"describe":[131],"relationship":[133],"were":[138],"introduced":[139],"for":[140],"comparison.":[141],"Compared":[142],"with":[143],"results":[147],"by":[148,157,177],"OSP":[149],"SBSR,":[151],"closer":[164],"noise,":[171],"obtained":[176],"has":[183],"fewer":[184],"textures.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}