{"id":"https://openalex.org/W2972694929","doi":"https://doi.org/10.3390/rs11182098","title":"A Method for the Destriping of an Orbita Hyperspectral Image with Adaptive Moment Matching and Unidirectional Total Variation","display_name":"A Method for the Destriping of an Orbita Hyperspectral Image with Adaptive Moment Matching and Unidirectional Total Variation","publication_year":2019,"publication_date":"2019-09-09","ids":{"openalex":"https://openalex.org/W2972694929","doi":"https://doi.org/10.3390/rs11182098","mag":"2972694929"},"language":"en","primary_location":{"id":"doi:10.3390/rs11182098","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11182098","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs11182098","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008990445","display_name":"Qingyang Li","orcid":"https://orcid.org/0000-0003-2602-9250"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyang Li","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China","Key Laboratory of 3D Information Acquisition and Application Ministry of Education, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application Ministry of Education, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039088967","display_name":"Ruofei Zhong","orcid":"https://orcid.org/0000-0002-6064-4479"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruofei Zhong","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China","Key Laboratory of 3D Information Acquisition and Application Ministry of Education, Capital Normal University, Beijing 100048, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application Ministry of Education, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341470","display_name":"Ya Wang","orcid":"https://orcid.org/0000-0003-4353-4638"},"institutions":[{"id":"https://openalex.org/I4210091787","display_name":"Zunyi Normal College","ror":"https://ror.org/00g2pnp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091787"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Wang","raw_affiliation_strings":["The School of Information Engineering, Zunyi Normal University, Zunyi 563100, China"],"affiliations":[{"raw_affiliation_string":"The School of Information Engineering, Zunyi Normal University, Zunyi 563100, China","institution_ids":["https://openalex.org/I4210091787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039088967"],"corresponding_institution_ids":["https://openalex.org/I96852419"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3159,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84611453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"11","issue":"18","first_page":"2098","last_page":"2098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9983999729156494,"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":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7600448131561279},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7044618129730225},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5516067743301392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5055949687957764},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4555276036262512},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.435185968875885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4274230897426605},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4167989492416382},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23518764972686768},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1554097831249237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600448131561279},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7044618129730225},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5516067743301392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5055949687957764},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4555276036262512},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.435185968875885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4274230897426605},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4167989492416382},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23518764972686768},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1554097831249237},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11182098","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11182098","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1b8e2bfcc2bb429093caf8f2e4a9a60e","is_oa":true,"landing_page_url":"https://doaj.org/article/1b8e2bfcc2bb429093caf8f2e4a9a60e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 18, p 2098 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/18/2098/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11182098","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 11; Issue 18; Pages: 2098","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11182098","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11182098","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7653846778","display_name":null,"funder_award_id":"61562049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8730668557","display_name":null,"funder_award_id":"41371434","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1913301588","https://openalex.org/W1967231175","https://openalex.org/W1968926700","https://openalex.org/W1970140330","https://openalex.org/W1983971533","https://openalex.org/W2028112830","https://openalex.org/W2034671455","https://openalex.org/W2055678260","https://openalex.org/W2057374579","https://openalex.org/W2082590963","https://openalex.org/W2086481235","https://openalex.org/W2093420825","https://openalex.org/W2110940063","https://openalex.org/W2127141393","https://openalex.org/W2127938081","https://openalex.org/W2133132088","https://openalex.org/W2136604679","https://openalex.org/W2146212169","https://openalex.org/W2147395055","https://openalex.org/W2156366154","https://openalex.org/W2165802701","https://openalex.org/W2326587421","https://openalex.org/W2369827760","https://openalex.org/W2370025490","https://openalex.org/W2378357644","https://openalex.org/W2515271729","https://openalex.org/W2615331742","https://openalex.org/W2734118241","https://openalex.org/W2738936858","https://openalex.org/W2761333220","https://openalex.org/W2797267812","https://openalex.org/W2799394457","https://openalex.org/W2901913663","https://openalex.org/W2911954321","https://openalex.org/W2929906481"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568","https://openalex.org/W2013329914","https://openalex.org/W2392383081","https://openalex.org/W1618102658","https://openalex.org/W4205376403"],"abstract_inverted_index":{"The":[0],"Orbita":[1],"hyperspectral":[2,8],"satellite":[3,9],"(OHS)":[4],"is":[5,53,141,199,230],"the":[6,17,32,41,65,68,89,96,117,145,150,157,161,171,177,181,192,202,213,216,234,237],"first":[7,151],"with":[10],"surface":[11],"coating":[12],"technology":[13,29],"for":[14,110],"sensors":[15,39,93],"in":[16,149],"world.":[18],"It":[19],"includes":[20],"32":[21],"bands":[22],"from":[23],"visible":[24],"to":[25,128,143,170,201,215],"near-infrared":[26],"wavelengths.":[27],"However,":[28],"such":[30],"as":[31],"fabricating":[33],"process":[34],"of":[35,46,67,75,84,91,98,160,220,236],"complementary":[36],"metal\u2013oxide\u2013semiconductor":[37],"(CMOS)":[38],"makes":[40],"image":[42,228],"contain":[43],"a":[44,72,107,132],"lot":[45],"random":[47],"and":[48,64,94,122,164,188,205,226],"unsystematic":[49],"stripe":[50,76,217],"noise,":[51],"which":[52,232],"so":[54],"bad":[55],"that":[56,176,196],"it":[57],"seriously":[58],"affects":[59],"visual":[60],"interpretation,":[61],"object":[62],"recognition":[63],"application":[66],"OHS":[69,92,99,111,162],"data.":[70,112],"Although":[71],"large":[73],"number":[74],"removal":[77,219],"algorithms":[78],"have":[79],"been":[80],"proposed,":[81],"very":[82],"few":[83],"them":[85],"take":[86],"into":[87],"account":[88],"characteristics":[90],"analyze":[95],"causes":[97],"data":[100],"noise.":[101],"In":[102],"this":[103],"paper,":[104],"we":[105,114,154,210],"propose":[106],"destriping":[108,168,183,207],"algorithm":[109,214],"Firstly,":[113],"use":[115,212],"both":[116,186],"adaptive":[118],"moment":[119],"matching":[120],"method":[121,127,169,179,198],"multi-level":[123],"unidirectional":[124],"total":[125],"variation":[126],"remove":[129],"stripes.":[130],"Then":[131],"model":[133],"based":[134],"on":[135,185],"piecewise":[136],"linear":[137],"least":[138],"squares":[139],"fitting":[140],"proposed":[142,178],"restore":[144],"vertical":[146],"details":[147],"lost":[148],"step.":[152],"Moreover,":[153,191],"further":[155,211],"utilize":[156],"spectral":[158],"information":[159],"image,":[163],"extend":[165],"our":[166,197],"2-D":[167],"3-D":[172],"case.":[173],"Results":[174],"demonstrate":[175],"provides":[180],"optimal":[182],"result":[184],"qualitative":[187],"quantitative":[189],"assessments.":[190],"experimental":[193],"results":[194],"show":[195],"superior":[200],"existing":[203],"single-band":[204],"multispectral":[206],"methods.":[208],"Also,":[209],"noise":[218],"other":[221],"real":[222],"remote":[223],"sensing":[224],"images,":[225],"excellent":[227],"quality":[229],"obtained,":[231],"proves":[233],"universality":[235],"algorithm.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-09-19T00:00:00"}