{"id":"https://openalex.org/W3013735888","doi":"https://doi.org/10.1109/tgrs.2020.2978276","title":"Joint Analysis and Weighted Synthesis Sparsity Priors for Simultaneous Denoising and Destriping Optical Remote Sensing Images","display_name":"Joint Analysis and Weighted Synthesis Sparsity Priors for Simultaneous Denoising and Destriping Optical Remote Sensing Images","publication_year":2020,"publication_date":"2020-03-24","ids":{"openalex":"https://openalex.org/W3013735888","doi":"https://doi.org/10.1109/tgrs.2020.2978276","mag":"3013735888"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.2978276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2978276","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/A5022954998","display_name":"Zhenghua Huang","orcid":"https://orcid.org/0000-0002-3128-2405"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenghua Huang","raw_affiliation_strings":["Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078270333","display_name":"Yaozong Zhang","orcid":"https://orcid.org/0000-0002-3727-7957"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaozong Zhang","raw_affiliation_strings":["Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340627","display_name":"Qian Li","orcid":"https://orcid.org/0000-0002-8308-9551"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Li","raw_affiliation_strings":["Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362246","display_name":"Xuan Li","orcid":"https://orcid.org/0000-0001-5079-3035"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Li","raw_affiliation_strings":["Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107006736","display_name":"Tianxu Zhang","orcid":"https://orcid.org/0009-0003-1071-4146"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxu Zhang","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013734579","display_name":"Nong Sang","orcid":"https://orcid.org/0000-0002-9167-1496"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nong Sang","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101472827","display_name":"Hanyu Hong","orcid":"https://orcid.org/0009-0006-7730-9809"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyu Hong","raw_affiliation_strings":["Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5022954998"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":null,"apc_paid":null,"fwci":8.0467,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.98165046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"58","issue":"10","first_page":"6958","last_page":"6982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6802670359611511},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5767657160758972},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5137225389480591},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5080106258392334},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5036718249320984},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4797893166542053},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.47065749764442444},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4643213152885437},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4400671422481537},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.428615003824234},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4175166189670563},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4057938754558563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40419185161590576},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3447785973548889},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24436601996421814},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08415448665618896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6802670359611511},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5767657160758972},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5137225389480591},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5080106258392334},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5036718249320984},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4797893166542053},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.47065749764442444},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4643213152885437},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4400671422481537},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.428615003824234},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4175166189670563},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4057938754558563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40419185161590576},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3447785973548889},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24436601996421814},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08415448665618896},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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.2020.2978276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2978276","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/G1023701245","display_name":null,"funder_award_id":"61901309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1436536937","display_name":null,"funder_award_id":"61671337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3089794327","display_name":null,"funder_award_id":"61433007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8640032580","display_name":null,"funder_award_id":"2018CFB621","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W1589819097","https://openalex.org/W1906770428","https://openalex.org/W1913301588","https://openalex.org/W1944540851","https://openalex.org/W1964709249","https://openalex.org/W1967231175","https://openalex.org/W1970140330","https://openalex.org/W1977617632","https://openalex.org/W1978749115","https://openalex.org/W1980212291","https://openalex.org/W1980454827","https://openalex.org/W1983971533","https://openalex.org/W1994040806","https://openalex.org/W1995919003","https://openalex.org/W2013916391","https://openalex.org/W2024661139","https://openalex.org/W2026019078","https://openalex.org/W2039596145","https://openalex.org/W2048695508","https://openalex.org/W2053506196","https://openalex.org/W2055678260","https://openalex.org/W2056370875","https://openalex.org/W2057374579","https://openalex.org/W2059497048","https://openalex.org/W2067291138","https://openalex.org/W2084992397","https://openalex.org/W2085625911","https://openalex.org/W2097073572","https://openalex.org/W2102166818","https://openalex.org/W2107799335","https://openalex.org/W2110940063","https://openalex.org/W2114122776","https://openalex.org/W2127938081","https://openalex.org/W2133132088","https://openalex.org/W2146842127","https://openalex.org/W2151730289","https://openalex.org/W2153663612","https://openalex.org/W2154996879","https://openalex.org/W2156366154","https://openalex.org/W2165802701","https://openalex.org/W2172275395","https://openalex.org/W2187214659","https://openalex.org/W2198758591","https://openalex.org/W2207282238","https://openalex.org/W2240914251","https://openalex.org/W2241220261","https://openalex.org/W2252235258","https://openalex.org/W2284600700","https://openalex.org/W2295686447","https://openalex.org/W2326587421","https://openalex.org/W2402764487","https://openalex.org/W2406094610","https://openalex.org/W2508457857","https://openalex.org/W2515271729","https://openalex.org/W2536599074","https://openalex.org/W2587790406","https://openalex.org/W2613155248","https://openalex.org/W2615331742","https://openalex.org/W2620572300","https://openalex.org/W2747739946","https://openalex.org/W2751646824","https://openalex.org/W2753010550","https://openalex.org/W2754036486","https://openalex.org/W2759518055","https://openalex.org/W2761333220","https://openalex.org/W2761550237","https://openalex.org/W2764207251","https://openalex.org/W2769021922","https://openalex.org/W2770315464","https://openalex.org/W2779054585","https://openalex.org/W2780930362","https://openalex.org/W2789332808","https://openalex.org/W2789621565","https://openalex.org/W2790442629","https://openalex.org/W2793846684","https://openalex.org/W2794426986","https://openalex.org/W2794833245","https://openalex.org/W2801811332","https://openalex.org/W2802876668","https://openalex.org/W2804156424","https://openalex.org/W2809097616","https://openalex.org/W2810474121","https://openalex.org/W2857196710","https://openalex.org/W2889466079","https://openalex.org/W2907386640","https://openalex.org/W3100203369","https://openalex.org/W3100245404","https://openalex.org/W3104725225","https://openalex.org/W6690358485"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W1661087619","https://openalex.org/W1839961359","https://openalex.org/W2075146114","https://openalex.org/W2100805585","https://openalex.org/W4234607605","https://openalex.org/W251497191"],"abstract_inverted_index":{"Stripe":[0],"and":[1,17,30,92,104,211,218,231],"random":[2],"noise":[3],"are":[4,19,35,55,72,136],"two":[5,133,197],"different":[6,139],"degradation":[7],"phenomena":[8],"that":[9,135,225],"commonly":[10],"coexist":[11],"in":[12,53,67],"optical":[13,110,151,180,220],"remote":[14,111,152,181,221],"sensing":[15,112,153,182,222],"images,":[16],"they":[18],"often":[20],"modeled":[21],"as":[22,37,143,173],"inverse":[23,27],"problems.":[24],"In":[25],"model-based":[26],"problems,":[28],"analysis":[29,68,91],"synthesis":[31,94],"sparse":[32,69],"representations":[33],"(SSRs)":[34],"used":[36,57,73,137],"regularization":[38],"terms":[39],"to":[40,45,58,74,98,129],"obtain":[41],"approximate":[42],"solutions":[43],"due":[44],"their":[46],"respective":[47],"merits,":[48,81],"i.e.,":[49],"the":[50,63,76,101,105,116,148,163,170,176,190,196,200,226,235,238],"nonzero":[51],"coefficients":[52],"SSR":[54,145],"usually":[56],"describe":[59],"an":[60,121],"image,":[61],"while":[62,169],"indexes":[64],"of":[65,214,237],"zeros":[66],"representation":[70],"(ASR)":[71],"characterize":[75],"stripe.":[77],"Inspired":[78],"by":[79,161,188],"these":[80],"we":[82],"propose":[83],"a":[84,89,108],"unified":[85],"variational":[86],"framework,":[87],"called":[88,142,172],"joint":[90],"weighted":[93,144,164],"(JAWS)":[95],"sparsity":[96,118,203],"model,":[97],"simultaneously":[99],"separate":[100,130],"clean":[102],"image":[103,154,183],"stripe":[106],"from":[107],"single":[109],"image.":[113],"To":[114],"solve":[115],"JAWS":[117,202],"model":[119,204],"efficiently,":[120],"alternating":[122],"minimization":[123],"optimization":[124],"strategy":[125],"is":[126,147,175,186,205,229],"first":[127],"employed":[128],"it":[131],"into":[132],"subproblems":[134,198],"for":[138,150,179],"tasks.":[140],"One":[141],"(WSSR)":[146],"main":[149,177],"denoising,":[155],"which":[156,185],"can":[157],"be":[158],"effectively":[159],"solved":[160],"employing":[162],"singular":[165],"value":[166],"thresholding":[167],"operator,":[168],"other":[171],"ASR":[174],"approach":[178,228],"destriping,":[184],"optimized":[187],"adopting":[189],"split":[191],"Bregman":[192],"iteration.":[193],"By":[194],"minimizing":[195],"alternatively,":[199],"proposed":[201,227],"efficiently":[206],"solved.":[207],"Finally,":[208],"both":[209],"quantitative":[210],"qualitative":[212],"results":[213],"experiments":[215],"on":[216],"synthetic":[217],"real-world":[219],"images":[223],"validate":[224],"effective":[230],"even":[232],"better":[233],"than":[234],"state":[236],"arts.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":7}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}
