{"id":"https://openalex.org/W2544238497","doi":"https://doi.org/10.1109/whispers.2012.6874280","title":"Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery","display_name":"Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2544238497","doi":"https://doi.org/10.1109/whispers.2012.6874280","mag":"2544238497"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2012.6874280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5061001516","display_name":"Minchao Ye","orcid":"https://orcid.org/0000-0003-3608-7913"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minchao Ye","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, P.R. China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059857918","display_name":"Yuntao Qian","orcid":"https://orcid.org/0000-0002-7418-5891"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntao Qian","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, P.R. China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.6555,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84855136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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/gaussian-noise","display_name":"Gaussian noise","score":0.7970605492591858},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6488263010978699},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6227651834487915},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.5677893757820129},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.5369377732276917},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.5343664288520813},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5315079092979431},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4976852238178253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4968753159046173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48195120692253113},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.47485947608947754},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4733322262763977},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4558819532394409},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45500823855400085},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4107819199562073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3698330521583557},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2153303027153015},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.16415274143218994},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09667250514030457},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0637245774269104}],"concepts":[{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.7970605492591858},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6488263010978699},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6227651834487915},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.5677893757820129},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.5369377732276917},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.5343664288520813},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5315079092979431},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4976852238178253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4968753159046173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48195120692253113},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.47485947608947754},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4733322262763977},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4558819532394409},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45500823855400085},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4107819199562073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3698330521583557},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2153303027153015},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.16415274143218994},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09667250514030457},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0637245774269104},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2012.6874280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2018612061","https://openalex.org/W2056409923","https://openalex.org/W2068136204","https://openalex.org/W2100556411","https://openalex.org/W2136035751","https://openalex.org/W2163446914","https://openalex.org/W2164330327","https://openalex.org/W2996456161","https://openalex.org/W4230339119","https://openalex.org/W4235713725","https://openalex.org/W4375802365","https://openalex.org/W6771917039"],"related_works":["https://openalex.org/W3125397569","https://openalex.org/W4226451553","https://openalex.org/W2116036791","https://openalex.org/W2588855097","https://openalex.org/W2032021057","https://openalex.org/W2057119739","https://openalex.org/W3033631740","https://openalex.org/W3149431777","https://openalex.org/W1572192126","https://openalex.org/W2144739192"],"abstract_inverted_index":{"Sparse":[0],"representation":[1],"has":[2,61],"been":[3],"applied":[4],"to":[5,79],"image":[6],"denoising":[7,82],"in":[8,21,34,125],"recent":[9],"years.":[10],"It":[11],"is":[12,74,122],"based":[13],"on":[14],"the":[15,18,22,38,97,117],"assumption":[16],"that":[17],"non-noise":[19],"component":[20,40],"signal":[23],"can":[24],"be":[25],"approximated":[26],"by":[27],"only":[28],"a":[29,35,69],"small":[30],"number":[31],"of":[32,49,63],"atoms":[33],"dictionary":[36],"while":[37],"noise":[39,50,72,89,95,120],"cannot.":[41],"Previous":[42],"researches":[43],"have":[44],"shown":[45],"its":[46,102],"excellent":[47],"ability":[48],"reduction":[51],"for":[52,116],"images":[53],"with":[54,85],"signal-independent":[55,64],"Gaussian":[56,94],"noise.":[57],"However,":[58],"hyperspectral":[59],"imagery":[60],"both":[62],"and":[65,101,108],"signal-dependent":[66],"noise,":[67],"so":[68],"mixed":[70,118],"Poisson-Gaussian":[71,119],"model":[73,90,121],"always":[75],"used.":[76],"In":[77],"order":[78],"make":[80],"sparse":[81,110],"method":[83,115],"deal":[84],"such":[86],"more":[87],"complex":[88],"rather":[91],"than":[92],"just":[93],"model,":[96],"variance-stabilizing":[98],"transformation":[99,104],"(VST)":[100],"inverse":[103],"are":[105],"used":[106],"before":[107],"after":[109],"denoising.":[111],"The":[112],"parameter":[113],"estimation":[114],"also":[123],"discussed":[124],"this":[126],"paper.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
