{"id":"https://openalex.org/W2065193748","doi":"https://doi.org/10.1109/tgrs.2012.2195666","title":"Enhancing Spatial Resolution of Hyperspectral Imagery Using Sensor's Intrinsic Keystone Distortion","display_name":"Enhancing Spatial Resolution of Hyperspectral Imagery Using Sensor's Intrinsic Keystone Distortion","publication_year":2012,"publication_date":"2012-05-24","ids":{"openalex":"https://openalex.org/W2065193748","doi":"https://doi.org/10.1109/tgrs.2012.2195666","mag":"2065193748"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2012.2195666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2195666","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/A5102125844","display_name":"Shen\u2010En Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I2800055578","display_name":"Canadian Space Agency","ror":"https://ror.org/03a1gte98","country_code":"CA","type":"government","lineage":["https://openalex.org/I2800055578"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Shen-En Qian","raw_affiliation_strings":["Canadian Space Agency, Saint-Hubert, QUE, Canada","Canadian Space Agency, St-Hubert, QC, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Canadian Space Agency, Saint-Hubert, QUE, Canada","institution_ids":["https://openalex.org/I2800055578"]},{"raw_affiliation_string":"Canadian Space Agency, St-Hubert, QC, Canada#TAB#","institution_ids":["https://openalex.org/I2800055578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088257057","display_name":"Guangyi Chen","orcid":"https://orcid.org/0000-0001-7542-5378"},"institutions":[{"id":"https://openalex.org/I2800055578","display_name":"Canadian Space Agency","ror":"https://ror.org/03a1gte98","country_code":"CA","type":"government","lineage":["https://openalex.org/I2800055578"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Guangyi Chen","raw_affiliation_strings":["Canadian Space Agency, Saint-Hubert, QUE, Canada","Canadian Space Agency, St-Hubert, QC, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Canadian Space Agency, Saint-Hubert, QUE, Canada","institution_ids":["https://openalex.org/I2800055578"]},{"raw_affiliation_string":"Canadian Space Agency, St-Hubert, QC, Canada#TAB#","institution_ids":["https://openalex.org/I2800055578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102125844"],"corresponding_institution_ids":["https://openalex.org/I2800055578"],"apc_list":null,"apc_paid":null,"fwci":1.0201,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8013338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"50","issue":"12","first_page":"5033","last_page":"5048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.9991000294685364,"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/subpixel-rendering","display_name":"Subpixel rendering","score":0.9529247283935547},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8287622928619385},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.741441547870636},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6874058246612549},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.6835346221923828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6480429172515869},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.6305333971977234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5981060862541199},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5742448568344116},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5652869939804077},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.554451584815979},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5386564135551453},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.46171829104423523},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4331167936325073},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4223429262638092},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.41893601417541504},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23014020919799805},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17795255780220032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13850903511047363},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12426984310150146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10856795310974121}],"concepts":[{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.9529247283935547},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8287622928619385},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.741441547870636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6874058246612549},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.6835346221923828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6480429172515869},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.6305333971977234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981060862541199},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5742448568344116},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5652869939804077},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.554451584815979},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5386564135551453},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.46171829104423523},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4331167936325073},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4223429262638092},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.41893601417541504},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23014020919799805},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17795255780220032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13850903511047363},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12426984310150146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10856795310974121},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2012.2195666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2195666","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":[],"funders":[{"id":"https://openalex.org/F4320313286","display_name":"Defence Research and Development Canada","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W4354222","https://openalex.org/W1519283961","https://openalex.org/W1522046140","https://openalex.org/W1581676061","https://openalex.org/W1836454392","https://openalex.org/W1964215855","https://openalex.org/W2003702046","https://openalex.org/W2006972546","https://openalex.org/W2013721961","https://openalex.org/W2016598597","https://openalex.org/W2023737612","https://openalex.org/W2029433073","https://openalex.org/W2030585344","https://openalex.org/W2041320831","https://openalex.org/W2045075385","https://openalex.org/W2046119925","https://openalex.org/W2048605186","https://openalex.org/W2048608292","https://openalex.org/W2050635843","https://openalex.org/W2056346283","https://openalex.org/W2057962381","https://openalex.org/W2058523468","https://openalex.org/W2059038472","https://openalex.org/W2060986563","https://openalex.org/W2067042811","https://openalex.org/W2068474295","https://openalex.org/W2070371541","https://openalex.org/W2074597716","https://openalex.org/W2075621901","https://openalex.org/W2078125016","https://openalex.org/W2087380704","https://openalex.org/W2097130407","https://openalex.org/W2100056645","https://openalex.org/W2103232506","https://openalex.org/W2103481871","https://openalex.org/W2105090634","https://openalex.org/W2105602976","https://openalex.org/W2107384509","https://openalex.org/W2113181621","https://openalex.org/W2114066324","https://openalex.org/W2116796676","https://openalex.org/W2122450057","https://openalex.org/W2123046940","https://openalex.org/W2129243541","https://openalex.org/W2129953395","https://openalex.org/W2133665775","https://openalex.org/W2138714160","https://openalex.org/W2144948131","https://openalex.org/W2151789205","https://openalex.org/W2152501071","https://openalex.org/W2153777140","https://openalex.org/W2158537567","https://openalex.org/W2165514703","https://openalex.org/W2165651437","https://openalex.org/W2167120702","https://openalex.org/W2171627515","https://openalex.org/W2295820431","https://openalex.org/W2301847393","https://openalex.org/W2302265399","https://openalex.org/W2315426415","https://openalex.org/W2534322662","https://openalex.org/W2981822182","https://openalex.org/W3003915866","https://openalex.org/W4233760599","https://openalex.org/W6684197827","https://openalex.org/W6697798680","https://openalex.org/W6697828997","https://openalex.org/W6769596851"],"related_works":["https://openalex.org/W2087724950","https://openalex.org/W2366586806","https://openalex.org/W2407777725","https://openalex.org/W1969639826","https://openalex.org/W1582972698","https://openalex.org/W2352476121","https://openalex.org/W2355987888","https://openalex.org/W1964212383","https://openalex.org/W2161001463","https://openalex.org/W3120311794"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"develop":[4],"a":[5,128],"novel":[6],"technology":[7,32,113],"that":[8,47,111],"can":[9,114],"enhance":[10,115],"the":[11,26,45,49,60,64,77,83,93,101,105,112,116,120],"spatial":[12,35,61,117],"resolution":[13,62,118],"of":[14,44,63,123,130],"hyperspectral":[15,124],"data":[16,50,65,78,125],"cube":[17,51,79],"without":[18],"using":[19,104],"any":[20],"additional":[21,56],"images,":[22],"as":[23,42,55],"would":[24],"be":[25],"case":[27],"in":[28,81,119],"image":[29,103],"fusion.":[30,107],"The":[31],"exploits":[33],"interband":[34],"misregistration":[36],"or":[37],"distortion":[38],"(often":[39],"referred":[40],"to":[41,58,72,91],"\u201ckeystone\u201d)":[43],"sensor":[46],"acquired":[48],"and":[52],"uses":[53],"it":[54],"information":[57],"increase":[59],"cube.":[66],"Three":[67],"methods":[68],"have":[69],"been":[70],"developed":[71],"derive":[73],"subpixel-shifted":[74,95],"images":[75,96],"from":[76],"itself":[80],"exploiting":[82],"sensor's":[84],"intrinsic":[85],"characteristics.":[86],"Two":[87],"schemes":[88],"were":[89],"proposed":[90],"organize":[92],"derived":[94],"before":[97],"being":[98],"integrated":[99],"into":[100],"high-resolution":[102],"iterative-back-projection":[106],"Experimental":[108],"results":[109],"show":[110],"cross-track":[121],"direction":[122],"cubes":[126],"by":[127],"factor":[129],"two.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
