{"id":"https://openalex.org/W3183169663","doi":"https://doi.org/10.1109/jstars.2021.3100330","title":"Deep Object-Centric Pooling in Convolutional Neural Network for Remote Sensing Scene Classification","display_name":"Deep Object-Centric Pooling in Convolutional Neural Network for Remote Sensing Scene Classification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3183169663","doi":"https://doi.org/10.1109/jstars.2021.3100330","mag":"3183169663"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2021.3100330","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3100330","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09497724.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09497724.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075750152","display_name":"Kunlun Qi","orcid":"https://orcid.org/0000-0001-9954-3467"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunlun Qi","raw_affiliation_strings":["School of Geography, and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography, and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749334","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0003-0406-7598"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["School of Geography, and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography, and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046695175","display_name":"Chuli Hu","orcid":"https://orcid.org/0000-0003-1896-4812"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuli Hu","raw_affiliation_strings":["School of Geography, and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography, and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000822601","display_name":"Yonglin Shen","orcid":"https://orcid.org/0000-0001-8190-4615"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonglin Shen","raw_affiliation_strings":["School of Geography, and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography, and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030670883","display_name":"Huayi Wu","orcid":"https://orcid.org/0000-0003-3971-0512"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huayi Wu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.8857,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77272997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":null,"first_page":"7857","last_page":"7868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9932000041007996,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/softmax-function","display_name":"Softmax function","score":0.8540472388267517},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8401535153388977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8085633516311646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7786307334899902},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7302701473236084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6077741384506226},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5296081304550171},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5190044641494751},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4723856449127197},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46579989790916443},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4406949281692505},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.44064366817474365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41134849190711975},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4101560413837433},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21208858489990234},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1984718143939972},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06292170286178589}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8540472388267517},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8401535153388977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8085633516311646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7786307334899902},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7302701473236084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6077741384506226},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5296081304550171},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5190044641494751},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4723856449127197},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46579989790916443},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4406949281692505},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.44064366817474365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41134849190711975},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4101560413837433},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21208858489990234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1984718143939972},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06292170286178589},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2021.3100330","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3100330","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09497724.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0f837d69cbd24990a2954642ef9557fd","is_oa":true,"landing_page_url":"https://doaj.org/article/0f837d69cbd24990a2954642ef9557fd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 7857-7868 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2021.3100330","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3100330","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09497724.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3577953667","display_name":null,"funder_award_id":"41701410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4203903562","display_name":null,"funder_award_id":"2019YFB2102903","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7658089048","display_name":null,"funder_award_id":"2019YFB2102903","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"},{"id":"https://openalex.org/G8928794995","display_name":null,"funder_award_id":"2019YFB2102903","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G955738284","display_name":null,"funder_award_id":"CUG190624","funder_id":"https://openalex.org/F4320322815","funder_display_name":"China University of Geosciences, Wuhan"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322815","display_name":"China University of Geosciences, Wuhan","ror":"https://ror.org/04q6c7p66"},{"id":"https://openalex.org/F4320328899","display_name":"China University of Geosciences","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336026","display_name":"National Key Research and Development Program of China Stem Cell and Translational Research","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3183169663.pdf","grobid_xml":"https://content.openalex.org/works/W3183169663.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1603728330","https://openalex.org/W1686810756","https://openalex.org/W1799366690","https://openalex.org/W1849277567","https://openalex.org/W1899185266","https://openalex.org/W1915485278","https://openalex.org/W1958291604","https://openalex.org/W1977924171","https://openalex.org/W1980038761","https://openalex.org/W1982067089","https://openalex.org/W1994488211","https://openalex.org/W2097117768","https://openalex.org/W2098676252","https://openalex.org/W2104978738","https://openalex.org/W2109255472","https://openalex.org/W2133324800","https://openalex.org/W2134670479","https://openalex.org/W2139427956","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2340427832","https://openalex.org/W2402144811","https://openalex.org/W2412782625","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2744582969","https://openalex.org/W2746325398","https://openalex.org/W2783165089","https://openalex.org/W2807872667","https://openalex.org/W2829067510","https://openalex.org/W2884585870","https://openalex.org/W2890734807","https://openalex.org/W2891365890","https://openalex.org/W2895236117","https://openalex.org/W2897552941","https://openalex.org/W2906217354","https://openalex.org/W2911305027","https://openalex.org/W2914429466","https://openalex.org/W2919352650","https://openalex.org/W2944302759","https://openalex.org/W2950557962","https://openalex.org/W2953384591","https://openalex.org/W2955425717","https://openalex.org/W2963603913","https://openalex.org/W2963697527","https://openalex.org/W2963996492","https://openalex.org/W2964121744","https://openalex.org/W2991023920","https://openalex.org/W2991682101","https://openalex.org/W2996836954","https://openalex.org/W2998998031","https://openalex.org/W2999232510","https://openalex.org/W3003841907","https://openalex.org/W3004916592","https://openalex.org/W3015063979","https://openalex.org/W3017351200","https://openalex.org/W3019448917","https://openalex.org/W3019659794","https://openalex.org/W3026303927","https://openalex.org/W3035984349","https://openalex.org/W3080368312","https://openalex.org/W3082732875","https://openalex.org/W3101627915","https://openalex.org/W3103856189","https://openalex.org/W3105577662","https://openalex.org/W3119762784","https://openalex.org/W3127899546","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6639927594","https://openalex.org/W6679792166","https://openalex.org/W6713134421","https://openalex.org/W6753412334","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W2962734882","https://openalex.org/W2185726654","https://openalex.org/W3134502938","https://openalex.org/W1034159276","https://openalex.org/W2899547849","https://openalex.org/W2748667022","https://openalex.org/W3211770882","https://openalex.org/W4229443568","https://openalex.org/W2010629964","https://openalex.org/W2983135586"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"imagery":[2],"typically":[3],"comprises":[4],"successive":[5],"background":[6,81,120],"contexts":[7],"and":[8,22,75,80,119,132,143,170],"complex":[9],"objects.":[10],"Global":[11],"average":[12],"pooling":[13,39,45,77,168],"is":[14,93,133],"a":[15,89,136,140,144,172],"popular":[16],"choice":[17],"to":[18,47,83,95,152],"connect":[19],"the":[20,28,35,42,52,58,68,78,97,100,105,109,117,122,125,161,166],"convolutional":[21,49,110,179],"fully":[23],"connected":[24],"(FC)":[25],"layers":[26],"for":[27],"deep":[29,43],"convolution":[30],"network.":[31],"This":[32],"article":[33],"equips":[34],"networks":[36],"with":[37],"another":[38],"strategy,":[40],"namely":[41],"object-centric":[44],"(DOCP),":[46],"pool":[48],"features":[50,82,131],"considering":[51],"location":[53,74,98],"of":[54,67,99,102,121],"an":[55,85],"object":[56,101],"within":[57],"scene":[59,106,182],"image.":[60,107],"The":[61,156],"proposed":[62,162],"DOCP":[63],"network":[64],"structure":[65],"consists":[66],"following":[69],"two":[70],"steps:":[71],"inferring":[72],"object's":[73],"separately":[76,115],"foreground":[79,118],"generate":[84],"object-level":[86],"representation.":[87],"Specifically,":[88],"spatial":[90],"context":[91],"module":[92],"presented":[94],"learn":[96],"interest":[103],"in":[104,116],"Then,":[108],"feature":[111],"maps":[112],"are":[113,150],"pooled":[114,130],"object.":[123],"Finally,":[124],"FC":[126],"layer":[127],"concatenates":[128],"these":[129],"followed":[134],"by":[135],"batch":[137],"normalization":[138],"layer,":[139,142],"dropout":[141],"softmax":[145],"layer.":[146],"Two":[147],"challenging":[148],"datasets":[149],"employed":[151],"validate":[153],"our":[154],"approach.":[155],"experimental":[157],"results":[158],"demonstrate":[159],"that":[160],"DOCP-net":[163],"can":[164],"outperform":[165],"corresponding":[167],"methods":[169],"achieve":[171],"better":[173],"classification":[174,183],"performance":[175],"than":[176],"other":[177],"pretrained":[178],"neural":[180],"network-based":[181],"methods.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}