{"id":"https://openalex.org/W4293206837","doi":"https://doi.org/10.3390/rs14174184","title":"Hyperspectral Image Reconstruction Based on Spatial-Spectral Domains Low-Rank Sparse Representation","display_name":"Hyperspectral Image Reconstruction Based on Spatial-Spectral Domains Low-Rank Sparse Representation","publication_year":2022,"publication_date":"2022-08-25","ids":{"openalex":"https://openalex.org/W4293206837","doi":"https://doi.org/10.3390/rs14174184"},"language":"en","primary_location":{"id":"doi:10.3390/rs14174184","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174184","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4184/pdf?version=1661829490","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/2072-4292/14/17/4184/pdf?version=1661829490","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087366464","display_name":"Shicheng Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shicheng Xie","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang 110167, China","School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China","School of Geography, Liaoning Normal University, Dalian 116029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang 110167, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China","institution_ids":["https://openalex.org/I153374732"]},{"raw_affiliation_string":"School of Geography, Liaoning Normal University, Dalian 116029, China","institution_ids":["https://openalex.org/I153374732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102762968","display_name":"Shun Wang","orcid":"https://orcid.org/0000-0001-9408-6754"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Wang","raw_affiliation_strings":["School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China","institution_ids":["https://openalex.org/I153374732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102976928","display_name":"Chuanming Song","orcid":"https://orcid.org/0000-0003-1518-8029"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanming Song","raw_affiliation_strings":["School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China","institution_ids":["https://openalex.org/I153374732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055787139","display_name":"Xianghai Wang","orcid":"https://orcid.org/0000-0002-7600-9939"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianghai Wang","raw_affiliation_strings":["School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China","School of Geography, Liaoning Normal University, Dalian 116029, China"],"raw_orcid":"https://orcid.org/0000-0002-7600-9939","affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China","institution_ids":["https://openalex.org/I153374732"]},{"raw_affiliation_string":"School of Geography, Liaoning Normal University, Dalian 116029, China","institution_ids":["https://openalex.org/I153374732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055787139"],"corresponding_institution_ids":["https://openalex.org/I153374732"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":0.4195,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49109057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"17","first_page":"4184","last_page":"4184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T10689","display_name":"Remote-Sensing Image Classification","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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8558483123779297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6671192646026611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6526181101799011},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6451183557510376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5895243883132935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4037571847438812},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32862013578414917}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8558483123779297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6671192646026611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6526181101799011},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6451183557510376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5895243883132935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4037571847438812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32862013578414917}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14174184","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174184","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4184/pdf?version=1661829490","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:ff204f87924641fcb3cdc3c908cb573e","is_oa":true,"landing_page_url":"https://doaj.org/article/ff204f87924641fcb3cdc3c908cb573e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 14, Iss 17, p 4184 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/17/4184/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14174184","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 14; Issue 17; Pages: 4184","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14174184","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174184","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4184/pdf?version=1661829490","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/G15543687","display_name":"\u534f\u540c\u591a\u7ef4\u5ea6\u76f8\u5173\u6027\u548c\u6df1\u5c42\u7279\u5f81\u7684\u9ad8\u5149\u8c31\u5f71\u50cf\u53d8\u5316\u68c0\u6d4b\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41971388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G767550654","display_name":null,"funder_award_id":"LT2017013","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293206837.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1046565816","https://openalex.org/W1994040806","https://openalex.org/W2039721451","https://openalex.org/W2092116045","https://openalex.org/W2100329651","https://openalex.org/W2103972604","https://openalex.org/W2114770744","https://openalex.org/W2119667497","https://openalex.org/W2130120519","https://openalex.org/W2135290483","https://openalex.org/W2141983208","https://openalex.org/W2160547390","https://openalex.org/W2203654268","https://openalex.org/W2331872656","https://openalex.org/W2349515262","https://openalex.org/W2566031661","https://openalex.org/W2791884754","https://openalex.org/W2792455908","https://openalex.org/W2798559986","https://openalex.org/W2799929262","https://openalex.org/W2803689397","https://openalex.org/W2884144629","https://openalex.org/W2891174380","https://openalex.org/W2891327166","https://openalex.org/W2894720251","https://openalex.org/W2900490985","https://openalex.org/W2901044172","https://openalex.org/W2911912801","https://openalex.org/W2914868416","https://openalex.org/W2923641665","https://openalex.org/W2936265303","https://openalex.org/W2962708900","https://openalex.org/W2964984565","https://openalex.org/W2966285417","https://openalex.org/W2972301798","https://openalex.org/W2977027041","https://openalex.org/W3009991223","https://openalex.org/W3027112496","https://openalex.org/W3107126660","https://openalex.org/W3123958336","https://openalex.org/W3132115664","https://openalex.org/W3133845225","https://openalex.org/W3133876759","https://openalex.org/W3134919243","https://openalex.org/W3136079405","https://openalex.org/W3137544784","https://openalex.org/W3147172970","https://openalex.org/W3164781827","https://openalex.org/W3169650397","https://openalex.org/W3186573928","https://openalex.org/W3203312104","https://openalex.org/W4213281045","https://openalex.org/W4221136930","https://openalex.org/W4239450275","https://openalex.org/W4250955649","https://openalex.org/W6729271822","https://openalex.org/W6792051452","https://openalex.org/W6795737213","https://openalex.org/W6799182923","https://openalex.org/W7024819578"],"related_works":["https://openalex.org/W2374021060","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"The":[0],"enormous":[1],"amount":[2],"of":[3,52,89,114,123,131,143,155,160],"data":[4],"that":[5,69,106,191,204],"are":[6,95,192],"generated":[7],"by":[8],"hyperspectral":[9],"remote":[10],"sensing":[11,35],"images":[12],"(HSI)":[13],"combined":[14],"with":[15,226],"the":[16,47,78,87,90,98,129,153,166,205,219,233],"spatial":[17,167,181],"channel\u2019s":[18],"limited":[19],"and":[20,27,41,49,86,180,213,216,232,239,246],"fragile":[21],"bandwidth":[22],"creates":[23],"serious":[24],"transmission,":[25],"storage,":[26],"application":[28],"challenges.":[29],"HSI":[30,53,65,75,132,170,186],"reconstruction":[31,66,187,230],"based":[32,71,108,193],"on":[33,46,72,109,194,198,247],"compressed":[34],"has":[36,236],"become":[37],"a":[38,61,81],"frontier":[39],"area,":[40],"its":[42],"effectiveness":[43],"depends":[44],"heavily":[45],"exploitation":[48],"sparse":[50,63,158,176,183],"representation":[51,88,159],"information":[54],"correlation.":[55],"In":[56,77,165],"this":[57],"paper,":[58],"we":[59],"propose":[60],"low-rank":[62,141,156],"constrained":[64],"model":[67,104],"(LRCoSM)":[68],"is":[70,107,117,172],"joint":[73,91,124],"spatial-spectral":[74],"sparseness.":[76],"spectral":[79,82,92,125,133,161,220],"dimension,":[80,168],"domain":[83],"sparsity":[84],"measure":[85],"dimensional":[93,134,162],"plane":[94,126],"proposed":[96,206,234],"for":[97,222],"first":[99],"time.":[100],"A":[101],"Gaussian":[102],"mixture":[103],"(GMM)":[105],"unsupervised":[110],"adaptive":[111],"parameter":[112],"learning":[113],"external":[115],"datasets":[116,202,224],"used":[118],"to":[119,147,174],"cluster":[120],"similar":[121,145,163],"patches":[122,138,146],"features,":[127],"capturing":[128],"correlation":[130],"non-local":[135],"structure":[136],"image":[137],"while":[139],"performing":[140],"decomposition":[142],"clustered":[144],"extract":[148],"feature":[149],"information,":[150],"effectively":[151,217],"improving":[152],"ability":[154,241],"approximate":[157],"patches.":[164],"local-nonlocal":[169],"similarity":[171],"explored":[173],"refine":[175],"prior":[177],"constraints.":[178],"Spectral":[179],"dimension":[182],"constraints":[184],"improve":[185],"quality.":[188],"Experimental":[189],"results":[190],"various":[195],"sampling":[196,244],"rates":[197,245],"four":[199],"publicly":[200],"available":[201],"show":[203],"algorithm":[207,235],"can":[208],"obtain":[209],"high-quality":[210],"reconstructed":[211],"PSNR":[212],"FSIM":[214],"values":[215],"maintain":[218],"curves":[221],"few-band":[223],"compared":[225],"six":[227],"currently":[228],"popular":[229],"algorithms,":[231],"strong":[237],"robustness":[238],"generalization":[240],"at":[242],"different":[243],"other":[248],"datasets.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
