{"id":"https://openalex.org/W4390696281","doi":"https://doi.org/10.3390/rs16020276","title":"Hyperspectral Image Denoising Based on Principal-Third-Order-Moment Analysis","display_name":"Hyperspectral Image Denoising Based on Principal-Third-Order-Moment Analysis","publication_year":2024,"publication_date":"2024-01-10","ids":{"openalex":"https://openalex.org/W4390696281","doi":"https://doi.org/10.3390/rs16020276"},"language":"en","primary_location":{"id":"doi:10.3390/rs16020276","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020276","pdf_url":"https://www.mdpi.com/2072-4292/16/2/276/pdf?version=1704881803","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://www.mdpi.com/2072-4292/16/2/276/pdf?version=1704881803","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033030896","display_name":"Shouzhi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shouzhi Li","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063545281","display_name":"Xiurui Geng","orcid":"https://orcid.org/0000-0003-0935-3753"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiurui Geng","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695462","display_name":"Liangliang Zhu","orcid":"https://orcid.org/0000-0001-6268-3351"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangliang Zhu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 242099, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 242099, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058426226","display_name":"Luyan Ji","orcid":"https://orcid.org/0000-0001-5369-4200"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyan Ji","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039601252","display_name":"Yongchao Zhao","orcid":"https://orcid.org/0000-0003-4610-4182"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchao Zhao","raw_affiliation_strings":["Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033030896"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9785,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74144561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"16","issue":"2","first_page":"276","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9994999766349792,"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":0.8460307121276855},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.798493504524231},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6713630557060242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6692419648170471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.65802401304245},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6019806861877441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5814193487167358},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.579118013381958},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5307053923606873},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.47798413038253784},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.45510849356651306},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4395563304424286},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.41220271587371826},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41183581948280334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3061596751213074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21101626753807068}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8460307121276855},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.798493504524231},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6713630557060242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692419648170471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.65802401304245},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6019806861877441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5814193487167358},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.579118013381958},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5307053923606873},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.47798413038253784},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.45510849356651306},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4395563304424286},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.41220271587371826},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41183581948280334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3061596751213074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21101626753807068},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16020276","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020276","pdf_url":"https://www.mdpi.com/2072-4292/16/2/276/pdf?version=1704881803","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:02431a89ddbd46d089f15bb11756b5e4","is_oa":true,"landing_page_url":"https://doaj.org/article/02431a89ddbd46d089f15bb11756b5e4","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 2, p 276 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/2/276/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16020276","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs16020276","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020276","pdf_url":"https://www.mdpi.com/2072-4292/16/2/276/pdf?version=1704881803","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/G190720465","display_name":null,"funder_award_id":"2019QZKK0206","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3217002595","display_name":null,"funder_award_id":"31400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G354569120","display_name":null,"funder_award_id":"2019QZKK","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390696281.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1899329334","https://openalex.org/W1974438823","https://openalex.org/W1977675897","https://openalex.org/W1979139980","https://openalex.org/W1991003630","https://openalex.org/W1994040806","https://openalex.org/W2009539575","https://openalex.org/W2020999375","https://openalex.org/W2022191263","https://openalex.org/W2025813857","https://openalex.org/W2033849598","https://openalex.org/W2045737896","https://openalex.org/W2054282473","https://openalex.org/W2070424424","https://openalex.org/W2090963365","https://openalex.org/W2097900616","https://openalex.org/W2103559027","https://openalex.org/W2110782084","https://openalex.org/W2118634086","https://openalex.org/W2118996198","https://openalex.org/W2136625467","https://openalex.org/W2142635246","https://openalex.org/W2158698691","https://openalex.org/W2289756263","https://openalex.org/W2585357012","https://openalex.org/W2805465265","https://openalex.org/W2900934580","https://openalex.org/W2922177059","https://openalex.org/W2998198695","https://openalex.org/W3091247454","https://openalex.org/W3118914778","https://openalex.org/W3123545922","https://openalex.org/W3196539133","https://openalex.org/W3204653398","https://openalex.org/W3212176979","https://openalex.org/W4205779174","https://openalex.org/W4286377574","https://openalex.org/W4312324774","https://openalex.org/W4379233548","https://openalex.org/W4394007378","https://openalex.org/W6674723063","https://openalex.org/W6675077989","https://openalex.org/W6677508755","https://openalex.org/W6696154520","https://openalex.org/W6800768511","https://openalex.org/W6803760252","https://openalex.org/W6847365658"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W2343470940","https://openalex.org/W2292979300"],"abstract_inverted_index":{"Denoising":[0],"serves":[1],"as":[2,47],"a":[3,31,81],"critical":[4],"preprocessing":[5],"step":[6],"for":[7],"the":[8,12,27,53,56,60,86,98,112,118,121],"subsequent":[9],"analysis":[10],"of":[11,55,101,120,126],"hyperspectral":[13],"image":[14],"(HSI).":[15],"Due":[16],"to":[17,51,84],"their":[18],"high":[19],"computational":[20],"efficiency,":[21],"low-rank-based":[22,93],"denoising":[23,61],"methods":[24,43,64],"that":[25,95],"project":[26],"noisy":[28],"HSI":[29],"into":[30,80],"low-dimensional":[32],"subspace":[33],"identified":[34],"by":[35],"certain":[36],"criteria":[37,48],"have":[38],"gained":[39],"widespread":[40],"use.":[41],"However,":[42],"employing":[44],"second-order":[45],"statistics":[46,67],"often":[49],"struggle":[50],"retain":[52],"signal":[54],"small":[57,102],"targets":[58,103],"in":[59,70,124],"results.":[62],"Other":[63],"utilizing":[65],"high-order":[66],"encounter":[68],"difficulties":[69],"effectively":[71],"suppressing":[72],"noise.":[73,107],"To":[74],"tackle":[75],"these":[76],"challenges,":[77],"we":[78],"delve":[79],"novel":[82],"criterion":[83],"determine":[85],"projection":[87],"subspace,":[88],"and":[89,114,130],"propose":[90],"an":[91],"innovative":[92],"method":[94],"successfully":[96],"preserves":[97],"spectral":[99],"characteristic":[100],"while":[104],"significantly":[105],"reducing":[106],"The":[108],"experimental":[109],"results":[110],"on":[111],"synthetic":[113],"real":[115],"datasets":[116],"demonstrate":[117],"effectiveness":[119],"proposed":[122],"method,":[123],"terms":[125],"both":[127],"small-target":[128],"preservation":[129],"noise":[131],"reduction.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}