{"id":"https://openalex.org/W2539212851","doi":"https://doi.org/10.1109/whispers.2012.6874269","title":"Restoring Aqua MODIS band 6 by other spectral bands using compressed sensing theory","display_name":"Restoring Aqua MODIS band 6 by other spectral bands using compressed sensing theory","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2539212851","doi":"https://doi.org/10.1109/whispers.2012.6874269","mag":"2539212851"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2012.6874269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874269","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/A5100626955","display_name":"Xinghua Li","orcid":"https://orcid.org/0000-0002-2094-6480"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghua Li","raw_affiliation_strings":["School of Resource and Environmental Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114374395","display_name":"Huanfeng Shen","orcid":"https://orcid.org/0000-0002-4140-1869"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanfeng Shen","raw_affiliation_strings":["School of Resource and Environmental Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079445353","display_name":"Chao Zeng","orcid":"https://orcid.org/0000-0002-3012-2493"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zeng","raw_affiliation_strings":["School of Resource and Environmental Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065644909","display_name":"Penghai Wu","orcid":"https://orcid.org/0000-0002-1983-5978"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Penghai Wu","raw_affiliation_strings":["School of Resource and Environmental Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"1","last_page":"4"},"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":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.728295624256134},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6588165163993835},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.6309558749198914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5787374377250671},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5779516100883484},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5294373035430908},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5045813322067261},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4943830966949463},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.4710124731063843},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4678889811038971},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.46335557103157043},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.4363422095775604},{"id":"https://openalex.org/keywords/spectroradiometer","display_name":"Spectroradiometer","score":0.4152109622955322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40451478958129883},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21455109119415283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13898763060569763},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1355055272579193},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1332280933856964},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12168806791305542},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.11063984036445618},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10725751519203186}],"concepts":[{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.728295624256134},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6588165163993835},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.6309558749198914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787374377250671},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5779516100883484},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5294373035430908},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5045813322067261},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4943830966949463},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.4710124731063843},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4678889811038971},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.46335557103157043},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.4363422095775604},{"id":"https://openalex.org/C130066347","wikidata":"https://www.wikidata.org/wiki/Q680509","display_name":"Spectroradiometer","level":3,"score":0.4152109622955322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40451478958129883},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21455109119415283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13898763060569763},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1355055272579193},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1332280933856964},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12168806791305542},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.11063984036445618},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10725751519203186},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2012.6874269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874269","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":[{"id":"https://metadata.un.org/sdg/11","score":0.4699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W152832198","https://openalex.org/W1890834058","https://openalex.org/W2005876975","https://openalex.org/W2020679958","https://openalex.org/W2063480635","https://openalex.org/W2071284784","https://openalex.org/W2086962710","https://openalex.org/W2102834609","https://openalex.org/W2104266187","https://openalex.org/W2110940063","https://openalex.org/W2117111086","https://openalex.org/W2129638195","https://openalex.org/W2144645128","https://openalex.org/W2145096794","https://openalex.org/W2151730289","https://openalex.org/W2153663612","https://openalex.org/W2155460368","https://openalex.org/W2157375181","https://openalex.org/W2160547390","https://openalex.org/W2164452299","https://openalex.org/W2953139536","https://openalex.org/W4235713725","https://openalex.org/W4250955649","https://openalex.org/W6655667716","https://openalex.org/W6681137901"],"related_works":["https://openalex.org/W1968901811","https://openalex.org/W2087241461","https://openalex.org/W1609312116","https://openalex.org/W2098219828","https://openalex.org/W2045907675","https://openalex.org/W2360114125","https://openalex.org/W2028054326","https://openalex.org/W2023226251","https://openalex.org/W3100717430","https://openalex.org/W2990874366"],"abstract_inverted_index":{"The":[0,102],"Aqua":[1],"satellite":[2],"launched":[3],"in":[4,11,37],"May":[5],"2002":[6],"is":[7,50],"a":[8],"key":[9],"one":[10],"the":[12,21,29,34,38,55,70,74,86,91,96,107,114],"Earth":[13],"Observation":[14],"System":[15],"(EOS)":[16],"mission":[17],"of":[18,32,43],"NASA.":[19],"In":[20],"Moderate":[22],"Resolution":[23],"Imaging":[24],"Spectroradiometer":[25],"(MODIS)":[26],"sensor":[27],"aboard":[28],"Aqua,":[30],"15":[31],"all":[33],"20":[35],"detectors":[36],"band":[39],"6":[40],"are":[41],"out":[42],"working.":[44],"Therewith":[45],"missing":[46,71],"data":[47,61,72],"exists.":[48],"It":[49],"very":[51],"significant":[52],"to":[53,57,68],"find":[54],"way":[56],"reconstruct":[58],"its":[59],"incomplete":[60],"efficiently.":[62],"This":[63],"paper":[64],"proposes":[65],"an":[66],"approach":[67],"retrieve":[69],"by":[73],"newborn":[75],"Compressed":[76],"Sensing":[77],"(CS)":[78],"theory,":[79],"which":[80],"can":[81],"account":[82],"for":[83],"not":[84],"only":[85],"large-area":[87],"inpainting,":[88],"but":[89],"also":[90],"spatial":[92],"autocorrelation":[93],"property":[94],"and":[95],"complementarity":[97],"relationship":[98],"among":[99],"spectral":[100],"bands.":[101],"experimental":[103],"results":[104],"validate":[105],"that":[106],"proposed":[108],"algorithm":[109],"performs":[110],"well":[111],"compared":[112],"with":[113],"state-of-art":[115],"methods.":[116]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}