{"id":"https://openalex.org/W2508114009","doi":"https://doi.org/10.1109/tip.2016.2598652","title":"Exploring Structured Sparsity by a Reweighted Laplace Prior for Hyperspectral Compressive Sensing","display_name":"Exploring Structured Sparsity by a Reweighted Laplace Prior for Hyperspectral Compressive Sensing","publication_year":2016,"publication_date":"2016-08-10","ids":{"openalex":"https://openalex.org/W2508114009","doi":"https://doi.org/10.1109/tip.2016.2598652","mag":"2508114009"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2598652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2598652","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","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/A5100433957","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-7528-420X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an, China","Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323672","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-0655-056X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an, China","Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-0655-056X","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083602794","display_name":"Chunna Tian","orcid":"https://orcid.org/0000-0002-3217-0368"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunna Tian","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107194301","display_name":"Fei Li","orcid":"https://orcid.org/0000-0002-6052-6261"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Li","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an, China","Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanning Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an, China","Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, the School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.6454,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.99221129,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"25","issue":"10","first_page":"4974","last_page":"4988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.8001450300216675},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6361641883850098},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.617180585861206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5852183103561401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5098065733909607},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49730756878852844},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.4813114404678345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4371339976787567},{"id":"https://openalex.org/keywords/laplace-distribution","display_name":"Laplace distribution","score":0.43477344512939453},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3834066092967987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35419416427612305},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3514343202114105},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2551301121711731}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8001450300216675},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6361641883850098},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.617180585861206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852183103561401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5098065733909607},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49730756878852844},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.4813114404678345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4371339976787567},{"id":"https://openalex.org/C183057437","wikidata":"https://www.wikidata.org/wiki/Q671617","display_name":"Laplace distribution","level":3,"score":0.43477344512939453},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3834066092967987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35419416427612305},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3514343202114105},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2551301121711731},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tip.2016.2598652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2598652","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2987047462","display_name":null,"funder_award_id":"61301192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5604689228","display_name":"\u57fa\u4e8e\u7a7a\u8c31\u7a00\u758f\u7ed3\u6784\u81ea\u9002\u5e94\u5b66\u4e60\u7684\u9ad8\u5149\u8c31\u56fe\u50cf\u538b\u7f29\u611f\u77e5\u91cd\u6784\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61671385","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5696426425","display_name":"\u8054\u5408\u6587\u672c\u5148\u9a8c\u548c\u591a\u6807\u6ce8\u4fe1\u606f\u7684\u56fe\u50cf\u6df1\u5ea6\u89c6\u89c9\u8bed\u4e49\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61571354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6509888992","display_name":"\u57fa\u4e8e\u7a7a\u95f4\u5e73\u53f0\u7684\u7a7a\u95f4\u76ee\u6807\u6210\u50cf\u53ca\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61231016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7102242995","display_name":null,"funder_award_id":"3102015JSJ0006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8980369722","display_name":null,"funder_award_id":"CX201521","funder_id":"https://openalex.org/F4320321392","funder_display_name":"Northwestern Polytechnical University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321392","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1580378184","https://openalex.org/W1963408805","https://openalex.org/W1970762771","https://openalex.org/W1986798658","https://openalex.org/W1992400371","https://openalex.org/W1998700518","https://openalex.org/W1998812875","https://openalex.org/W2000605727","https://openalex.org/W2006141655","https://openalex.org/W2015548667","https://openalex.org/W2029470596","https://openalex.org/W2034035291","https://openalex.org/W2045887127","https://openalex.org/W2046658845","https://openalex.org/W2049502219","https://openalex.org/W2050834445","https://openalex.org/W2063978378","https://openalex.org/W2065513175","https://openalex.org/W2071284784","https://openalex.org/W2072518892","https://openalex.org/W2075394305","https://openalex.org/W2080091028","https://openalex.org/W2092172454","https://openalex.org/W2095906131","https://openalex.org/W2107861471","https://openalex.org/W2119449648","https://openalex.org/W2121123096","https://openalex.org/W2125566565","https://openalex.org/W2127271355","https://openalex.org/W2127870457","https://openalex.org/W2133665775","https://openalex.org/W2138477261","https://openalex.org/W2151452149","https://openalex.org/W2160547390","https://openalex.org/W2168745297","https://openalex.org/W2201252054","https://openalex.org/W2244252827","https://openalex.org/W2326013034","https://openalex.org/W3005708632","https://openalex.org/W3100566860","https://openalex.org/W4250589301","https://openalex.org/W4250955649","https://openalex.org/W6673194329","https://openalex.org/W6677581936","https://openalex.org/W6678849583"],"related_works":["https://openalex.org/W2485409820","https://openalex.org/W2094164772","https://openalex.org/W4295246697","https://openalex.org/W2122071569","https://openalex.org/W1992254807","https://openalex.org/W2046036316","https://openalex.org/W3039003513","https://openalex.org/W1984505799","https://openalex.org/W2485229344","https://openalex.org/W2063870893"],"abstract_inverted_index":{"Hyperspectral":[0],"compressive":[1,24,68],"sensing":[2,69],"(HCS)":[3],"can":[4,61,197],"greatly":[5],"reduce":[6],"the":[7,27,32,42,63,72,93,124,133,157,161,166,200,204,211,218,225,244,248,255,271,282],"enormous":[8],"cost":[9],"of":[10,31,66,75,126,136,143,160,221,281],"hyperspectral":[11,266],"images":[12],"(HSIs)":[13],"on":[14,140,264],"imaging,":[15],"storage,":[16],"and":[17,81,176,207],"transmission":[18],"by":[19,84],"only":[20],"collecting":[21],"a":[22,47,104,115,144,148,180,232,238,253],"few":[23,48],"measurements":[25],"in":[26,79,96,111,128,203,247,279],"image":[28],"acquisition.":[29],"One":[30],"most":[33],"challenging":[34],"problems":[35],"for":[36],"HCS":[37,109,222,277],"is":[38,77,120,153,208,228,258],"how":[39],"to":[40,91,122,155,210,230],"reconstruct":[41],"HSI":[43],"accurately":[44],"from":[45,165],"such":[46],"measurements.":[49,167],"It":[50],"has":[51],"been":[52],"proved":[53],"that":[54,270],"introducing":[55],"structure":[56,202,246],"information":[57],"into":[58,179],"sparsity":[59,74,95,127,173,195],"prior":[60,119,139,164,174,196,236],"improve":[62,217],"reconstruction":[64,219,256,283],"performance":[65],"standard":[67],"models.":[70],"However,":[71],"structured":[73,94],"HSIs":[76],"unknown":[78,212],"reality":[80],"easily":[82],"affected":[83],"random":[85],"noise,":[86],"which":[87,131,242],"makes":[88],"it":[89],"difficult":[90],"explore":[92],"HCS.":[97],"To":[98],"address":[99],"this":[100,112],"problem,":[101],"we":[102],"propose":[103],"novel":[105],"reweighted":[106,117,162],"Laplace":[107,118,138,163],"prior-based":[108],"method":[110,227,273],"paper.":[113],"First,":[114],"hierarchical":[116],"proposed":[121,226,272],"model":[123,152,169],"distribution":[125],"an":[129],"HSI,":[130],"relieves":[132],"undemocratic":[134],"penalization":[135],"traditional":[137],"nonzero":[141],"coefficients":[142],"sparse":[145,205,249],"signal.":[146],"Then,":[147],"latent":[149],"variable-based":[150],"Bayesian":[151],"employed":[154],"learn":[156,231],"optimal":[158],"configuration":[159],"This":[168],"unifies":[170],"signal":[171,206,250],"recovery,":[172],"learning,":[175],"noise":[177],"estimation":[178],"variational":[181],"framework,":[182],"where":[183],"these":[184],"three":[185,265],"tasks":[186],"are":[187],"alternatively":[188],"optimized":[189],"till":[190],"convergence.":[191],"The":[192],"finally":[193],"learned":[194],"well":[198],"represent":[199],"underlying":[201,245],"adaptive":[209],"noise.":[213],"These":[214],"advantages":[215],"together":[216],"accuracy":[220,257],"obviously.":[223],"Moreover,":[224],"extended":[229],"matrix":[233],"normal":[234],"distribution-based":[235],"with":[237],"full":[239],"covariance":[240],"matrix,":[241],"depicts":[243],"better.":[251],"As":[252],"result,":[254],"further":[259],"improved.":[260],"Extensive":[261],"experimental":[262],"results":[263],"data":[267],"sets":[268],"demonstrate":[269],"outperforms":[274],"several":[275],"state-of-the-art":[276],"methods":[278],"terms":[280],"accuracy.":[284]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
