{"id":"https://openalex.org/W2048608292","doi":"https://doi.org/10.1142/s0219691312500257","title":"SUPER-RESOLUTION OF HYPERSPECTRAL IMAGERY USING COMPLEX RIDGELET TRANSFORM","display_name":"SUPER-RESOLUTION OF HYPERSPECTRAL IMAGERY USING COMPLEX RIDGELET TRANSFORM","publication_year":2012,"publication_date":"2012-02-22","ids":{"openalex":"https://openalex.org/W2048608292","doi":"https://doi.org/10.1142/s0219691312500257","mag":"2048608292"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691312500257","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691312500257","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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/A5088257057","display_name":"Guangyi Chen","orcid":"https://orcid.org/0000-0001-7542-5378"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]},{"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":"GUANGYI CHEN","raw_affiliation_strings":["Canadian Space Agency, 6767 Airport Avenue, St-Hubert, QC J3Y8Y9, Canada","Department of Mechanical and Industrial Engineering, Concordia University, Montreal, QC H3G 1M8, Canada"],"affiliations":[{"raw_affiliation_string":"Canadian Space Agency, 6767 Airport Avenue, St-Hubert, QC J3Y8Y9, Canada","institution_ids":["https://openalex.org/I2800055578"]},{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Concordia University, Montreal, QC H3G 1M8, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","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":false,"raw_author_name":"SHEN-EN QIAN","raw_affiliation_strings":["Canadian Space Agency, 6767 Airport Avenue, St-Hubert, QC J3Y8Y9, Canada"],"affiliations":[{"raw_affiliation_string":"Canadian Space Agency, 6767 Airport Avenue, St-Hubert, QC J3Y8Y9, Canada","institution_ids":["https://openalex.org/I2800055578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067646605","display_name":"Jean-Pierre Ardouin","orcid":null},"institutions":[{"id":"https://openalex.org/I1297460800","display_name":"Defence Research and Development Canada","ror":"https://ror.org/00hgy8d33","country_code":"CA","type":"funder","lineage":["https://openalex.org/I1297460800","https://openalex.org/I1336338359","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"JEAN-PIERRE ARDOUIN","raw_affiliation_strings":["Defence Research and Development of Canada \u2013 Valcartier, 2459 Boul. Pie-XI N., Qu\u00e9bec, QC G3J 1X5, Canada"],"affiliations":[{"raw_affiliation_string":"Defence Research and Development of Canada \u2013 Valcartier, 2459 Boul. Pie-XI N., Qu\u00e9bec, QC G3J 1X5, Canada","institution_ids":["https://openalex.org/I1297460800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085378824","display_name":"Wenfang Xie","orcid":"https://orcid.org/0000-0003-2449-6306"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"WENFANG XIE","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, Concordia University, Montreal, QC H3G 1M8, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Concordia University, Montreal, QC H3G 1M8, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088257057"],"corresponding_institution_ids":["https://openalex.org/I2800055578","https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":5.1007,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95366795,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":"03","first_page":"1250025","last_page":"1250025"},"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":0.9990000128746033,"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":0.9980000257492065,"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/complex-wavelet-transform","display_name":"Complex wavelet transform","score":0.8083637356758118},{"id":"https://openalex.org/keywords/radon-transform","display_name":"Radon transform","score":0.7941275238990784},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.7093418836593628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6100304126739502},{"id":"https://openalex.org/keywords/harmonic-wavelet-transform","display_name":"Harmonic wavelet transform","score":0.5474784970283508},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5291787981987},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5068464875221252},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49915575981140137},{"id":"https://openalex.org/keywords/s-transform","display_name":"S transform","score":0.49811649322509766},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45349371433258057},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.45293691754341125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44563838839530945},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.44409266114234924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43190521001815796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.272310733795166}],"concepts":[{"id":"https://openalex.org/C2777885455","wikidata":"https://www.wikidata.org/wiki/Q5156615","display_name":"Complex wavelet transform","level":5,"score":0.8083637356758118},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.7941275238990784},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.7093418836593628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6100304126739502},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.5474784970283508},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5291787981987},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5068464875221252},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49915575981140137},{"id":"https://openalex.org/C99234102","wikidata":"https://www.wikidata.org/wiki/Q7395403","display_name":"S transform","level":5,"score":0.49811649322509766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45349371433258057},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.45293691754341125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44563838839530945},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44409266114234924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43190521001815796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.272310733795166}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691312500257","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691312500257","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1967599142","https://openalex.org/W1968626395","https://openalex.org/W1971218353","https://openalex.org/W1983903074","https://openalex.org/W1984487106","https://openalex.org/W1985768153","https://openalex.org/W1991460509","https://openalex.org/W1999201748","https://openalex.org/W2003702046","https://openalex.org/W2007769114","https://openalex.org/W2016598597","https://openalex.org/W2026129516","https://openalex.org/W2055225600","https://openalex.org/W2056346283","https://openalex.org/W2060076542","https://openalex.org/W2066462711","https://openalex.org/W2068474295","https://openalex.org/W2070205775","https://openalex.org/W2070371541","https://openalex.org/W2077823490","https://openalex.org/W2097680906","https://openalex.org/W2100606485","https://openalex.org/W2109001758","https://openalex.org/W2110104525","https://openalex.org/W2114066324","https://openalex.org/W2119077559","https://openalex.org/W2123046940","https://openalex.org/W2133665775","https://openalex.org/W2145676339","https://openalex.org/W2152254169","https://openalex.org/W2156207079","https://openalex.org/W2159269332","https://openalex.org/W2161811007","https://openalex.org/W2164159666","https://openalex.org/W2164592660","https://openalex.org/W2171845746"],"related_works":["https://openalex.org/W2205192157","https://openalex.org/W1517207589","https://openalex.org/W2148080224","https://openalex.org/W2018332268","https://openalex.org/W2107596396","https://openalex.org/W2327192084","https://openalex.org/W2094847008","https://openalex.org/W1502947305","https://openalex.org/W1664107882","https://openalex.org/W2382490471"],"abstract_inverted_index":{"In":[0],"this":[1,98,121],"paper,":[2],"a":[3,28,40],"novel":[4],"super-resolution":[5],"method":[6,130],"for":[7],"hyperspectral":[8],"imagery":[9],"is":[10,20,46,95,100,111],"proposed":[11,129],"by":[12],"using":[13],"complex":[14,43,57,81,93],"ridgelet":[15,58,62,67],"transform.":[16,59],"A":[17],"Radon":[18,36,50,86],"transform":[19,45,63,68,76,83],"first":[21],"applied":[22],"to":[23,30,33,52,123],"each":[24,49,85],"band":[25],"image":[26,115,137],"of":[27,55,78,106,127],"datacube":[29],"be":[31],"enhanced":[32],"obtain":[34],"the":[35,56,65,72,79,91,104,125,128,132,135,140],"slices,":[37],"and":[38,139],"then":[39],"1D":[41,73],"dual-tree":[42,80,92],"wavelet":[44,75,82,94,133],"conducted":[47,119],"along":[48,84],"slice":[51],"generate":[53],"coefficients":[54],"The":[60,88],"ordinary":[61],"or":[64],"finite":[66],"(FRIT),":[69],"however,":[70],"uses":[71],"scalar":[74],"instead":[77],"slice.":[87],"reason":[89],"why":[90],"adopted":[96],"in":[97,114,120],"paper":[99,122],"because":[101],"it":[102],"has":[103],"property":[105],"approximate":[107],"shift":[108],"invariance,":[109],"which":[110],"very":[112],"important":[113],"super-resolution.":[116],"Experiments":[117],"are":[118],"demonstrate":[124],"advantages":[126],"over":[131],"super-resolution,":[134],"FRIT":[136],"fusion,":[138],"principal":[141],"component":[142],"analysis":[143],"fusion.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}