{"id":"https://openalex.org/W4316013182","doi":"https://doi.org/10.1109/tgrs.2023.3236818","title":"Cross-Track Illumination Correction for Hyperspectral Pushbroom Sensor Images Using Low-Rank and Sparse Representations","display_name":"Cross-Track Illumination Correction for Hyperspectral Pushbroom Sensor Images Using Low-Rank and Sparse Representations","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4316013182","doi":"https://doi.org/10.1109/tgrs.2023.3236818"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3236818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3236818","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5022920106","display_name":"Lina Zhuang","orcid":"https://orcid.org/0000-0002-9622-6535"},"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":"Lina Zhuang","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9622-6535","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010561682","display_name":"Michael K. Ng","orcid":"https://orcid.org/0000-0001-6833-5227"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Michael K. Ng","raw_affiliation_strings":["Department of Mathematics, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-6833-5227","affiliations":[{"raw_affiliation_string":"Department of Mathematics, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100742042","display_name":"Yao Liu","orcid":"https://orcid.org/0000-0003-1695-9956"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210092591","display_name":"China Centre for Resources Satellite Data and Application","ror":"https://ror.org/00ft0fw96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092591"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Liu","raw_affiliation_strings":["Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1695-9956","affiliations":[{"raw_affiliation_string":"Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China, Beijing, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210092591"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":2.277,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88832786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9950000047683716,"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":0.8949224948883057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6907715797424316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651380658149719},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6549863219261169},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5859459042549133},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5337715148925781},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48868849873542786},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.47802552580833435},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.42084619402885437},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39839228987693787},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2574249505996704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23185276985168457},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16941982507705688},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13890594244003296}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8949224948883057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6907715797424316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651380658149719},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6549863219261169},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5859459042549133},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5337715148925781},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48868849873542786},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.47802552580833435},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.42084619402885437},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39839228987693787},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2574249505996704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23185276985168457},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16941982507705688},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13890594244003296},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3236818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3236818","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2142109090","display_name":null,"funder_award_id":"42001287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5078553345","display_name":null,"funder_award_id":"N-HKU76921","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W269003556","https://openalex.org/W1923622064","https://openalex.org/W1946620893","https://openalex.org/W1985588167","https://openalex.org/W1991003630","https://openalex.org/W1994040806","https://openalex.org/W2004026774","https://openalex.org/W2006262045","https://openalex.org/W2014374676","https://openalex.org/W2036583877","https://openalex.org/W2058532290","https://openalex.org/W2070424424","https://openalex.org/W2075334867","https://openalex.org/W2082590963","https://openalex.org/W2084252873","https://openalex.org/W2087263574","https://openalex.org/W2110126622","https://openalex.org/W2132680427","https://openalex.org/W2133132088","https://openalex.org/W2134123767","https://openalex.org/W2135065661","https://openalex.org/W2141955054","https://openalex.org/W2142224912","https://openalex.org/W2157321686","https://openalex.org/W2159913375","https://openalex.org/W2163612361","https://openalex.org/W2164278908","https://openalex.org/W2164720626","https://openalex.org/W2165755981","https://openalex.org/W2293583339","https://openalex.org/W2515271729","https://openalex.org/W2746121933","https://openalex.org/W2753309326","https://openalex.org/W2767887540","https://openalex.org/W2790888198","https://openalex.org/W2793218933","https://openalex.org/W2914736033","https://openalex.org/W2959148625","https://openalex.org/W2960360058","https://openalex.org/W2967530387","https://openalex.org/W2991209609","https://openalex.org/W2995099525","https://openalex.org/W2996085728","https://openalex.org/W3012136461","https://openalex.org/W3013064625","https://openalex.org/W3021083191","https://openalex.org/W3035615619","https://openalex.org/W3092426727","https://openalex.org/W3111299748","https://openalex.org/W3112538150","https://openalex.org/W3118914778","https://openalex.org/W3123098349","https://openalex.org/W3138463575","https://openalex.org/W3139578059","https://openalex.org/W3166943687","https://openalex.org/W3175546563","https://openalex.org/W3193840306","https://openalex.org/W3201553497","https://openalex.org/W3204653398","https://openalex.org/W3205622792","https://openalex.org/W3208677436","https://openalex.org/W4206806028","https://openalex.org/W4207027096","https://openalex.org/W4285303228","https://openalex.org/W4307592382","https://openalex.org/W6696674590","https://openalex.org/W6797752105"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W1991437568","https://openalex.org/W2083270190","https://openalex.org/W2998323711","https://openalex.org/W2948825694","https://openalex.org/W2014286142","https://openalex.org/W2122141505","https://openalex.org/W2612882618","https://openalex.org/W2897576080","https://openalex.org/W3175877121"],"abstract_inverted_index":{"A":[0],"hyperspectral":[1,68,125],"pushbroom":[2],"sensor":[3],"scans":[4],"objects":[5],"line-by-line":[6,95],"using":[7,137,154,168],"a":[8,12,73,124,155],"detector":[9,34],"array,":[10],"and":[11,87,99,145,148,171],"cross-track":[13,58,127,135],"illumination":[14,27,55,128,136],"error":[15],"(CTIE)":[16],"exists":[17],"in":[18,22,56,67,109],"the":[19,26,29,33,43,49,57,79,85,106,110,121,134,150,163,177],"imagery":[20],"acquired":[21,50],"this":[23,118],"way.":[24],"When":[25],"of":[28,32,42,112,117,123,157,162,176],"individual":[30],"cells":[31,44],"is":[35,64,97,120,166,180],"not":[36],"aligned":[37],"well,":[38],"or":[39,47],"if":[40],"some":[41],"are":[45],"degraded":[46],"old,":[48],"images":[51,69],"will":[52],"exhibit":[53],"nonuniform":[54],"direction.":[59],"As":[60],"additive":[61,88],"Gaussian":[62,89,151],"noise":[63,152],"found":[65,181],"widely":[66],"(HSIs),":[70],"we":[71],"develop":[72],"unified":[74],"mathematical":[75],"model":[76],"that":[77],"describes":[78],"image":[80,126],"formation":[81],"process":[82],"corrupted":[83],"by":[84,94,153],"CTIE":[86,92],"noise.":[90],"The":[91,114,160,174],"produced":[93],"scanning":[96],"replicated":[98],"modeled":[100],"as":[101],"an":[102],"offset":[103],"term":[104],"with":[105,142],"equivalent":[107],"values":[108],"direction":[111],"flight.":[113],"main":[115],"contribution":[116],"study":[119],"development":[122],"correction":[129],"(HyCIC)":[130],"method,":[131],"which":[132],"corrects":[133],"column":[138],"(along-track)":[139],"mean":[140],"compensation":[141],"total":[143],"variation":[144],"sparsity":[146],"regularizations,":[147],"attenuates":[149],"form":[156],"low-rank":[158],"constraint.":[159],"effectiveness":[161],"proposed":[164,178],"method":[165],"illustrated":[167],"semireal":[169],"data":[170],"real":[172],"HSIs.":[173],"performance":[175],"HyCIC":[179],"to":[182],"be":[183],"better":[184],"than":[185],"other":[186],"existing":[187],"methods.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
