{"id":"https://openalex.org/W3035615619","doi":"https://doi.org/10.1109/sam48682.2020.9104285","title":"Cross-track Illumination Correction For Hyperspectral Pushbroom Sensors Using Total Variation and Sparsity Regularization","display_name":"Cross-track Illumination Correction For Hyperspectral Pushbroom Sensors Using Total Variation and Sparsity Regularization","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3035615619","doi":"https://doi.org/10.1109/sam48682.2020.9104285","mag":"3035615619"},"language":"en","primary_location":{"id":"doi:10.1109/sam48682.2020.9104285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5022920106","display_name":"Lina Zhuang","orcid":"https://orcid.org/0000-0002-9622-6535"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lina Zhuang","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010561682","display_name":"Michael K. Ng","orcid":"https://orcid.org/0000-0001-6833-5227"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Michael K. Ng","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":1.3531,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77461598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9959999918937683,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7530121803283691},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6768028736114502},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6692593097686768},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5865815877914429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5601447820663452},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.5482904314994812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5179378390312195},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5099109411239624},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.47209709882736206},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.44377416372299194},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4399203062057495},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32615384459495544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27408871054649353}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7530121803283691},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6768028736114502},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6692593097686768},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5865815877914429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5601447820663452},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.5482904314994812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5179378390312195},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5099109411239624},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.47209709882736206},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.44377416372299194},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4399203062057495},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32615384459495544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27408871054649353},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam48682.2020.9104285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1946620893","https://openalex.org/W2006262045","https://openalex.org/W2036583877","https://openalex.org/W2053419820","https://openalex.org/W2058532290","https://openalex.org/W2075334867","https://openalex.org/W2110126622","https://openalex.org/W2134123767","https://openalex.org/W2141955054","https://openalex.org/W2159913375","https://openalex.org/W2164720626","https://openalex.org/W2169899245","https://openalex.org/W2746121933","https://openalex.org/W2753309326","https://openalex.org/W2889904596","https://openalex.org/W7057145204"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2349308392","https://openalex.org/W3097078770","https://openalex.org/W4302598424"],"abstract_inverted_index":{"Cross-track":[0],"illumination":[1,18,37,51,63,86,95],"error":[2,52,64],"exists":[3],"in":[4,38,102],"hyperspec-tral":[5],"pushbroom":[6],"sensor,":[7],"who":[8],"scan":[9],"objects":[10],"line-by-line":[11,46],"with":[12,76],"a":[13,70],"detector":[14],"array.":[15],"When":[16],"the":[17,21,39,45,49,56,60,66,85,103,110],"sensitivity":[19],"of":[20,44,62,90,109],"individual":[22],"detectors":[23,30],"is":[24,53,113],"not":[25],"aligned":[26],"well,":[27],"or":[28],"some":[29],"are":[31],"degraded/aged,":[32],"acquired":[33],"images":[34],"show":[35],"non-uniform":[36],"cross-track":[40,50],"direction.":[41],"Meanwhile,":[42],"because":[43],"scanning":[47],"scheme,":[48],"replicated":[54],"along":[55],"flying":[57],"track.":[58],"Considering":[59],"structure":[61],"cross/along":[65],"track,":[67],"we":[68],"propose":[69],"column":[71],"(along-track)":[72],"mean":[73],"compensation":[74],"approach":[75],"total":[77],"variation":[78],"and":[79,93,99],"sparsity":[80],"regularization":[81],"(COMCO-TVS),":[82],"which":[83],"corrects":[84],"via":[87],"exploiting":[88],"characteristics":[89],"column-mean":[91,94],"pixels":[92],"errors:":[96],"piecewise":[97],"smoothness":[98],"sparsity,":[100],"respectively,":[101],"spatial-spectral":[104],"domain.":[105],"The":[106],"correction":[107],"effectiveness":[108],"proposed":[111],"method":[112],"illustrated":[114],"using":[115],"semi-real":[116],"data.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}