{"id":"https://openalex.org/W4226178801","doi":"https://doi.org/10.3390/rs14071732","title":"Bi-HRNet: A Road Extraction Framework from Satellite Imagery Based on Node Heatmap and Bidirectional Connectivity","display_name":"Bi-HRNet: A Road Extraction Framework from Satellite Imagery Based on Node Heatmap and Bidirectional Connectivity","publication_year":2022,"publication_date":"2022-04-04","ids":{"openalex":"https://openalex.org/W4226178801","doi":"https://doi.org/10.3390/rs14071732"},"language":"en","primary_location":{"id":"doi:10.3390/rs14071732","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14071732","pdf_url":"https://www.mdpi.com/2072-4292/14/7/1732/pdf?version=1649644001","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/7/1732/pdf?version=1649644001","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001563930","display_name":"Ziyun Wu","orcid":"https://orcid.org/0000-0001-8239-1890"},"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":"Ziyun Wu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, 129 Luoyu Roud, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, 129 Luoyu Roud, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072140074","display_name":"Jinming Zhang","orcid":"https://orcid.org/0000-0001-7294-7496"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinming Zhang","raw_affiliation_strings":["Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China","The Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing 100190, China"],"raw_orcid":"https://orcid.org/0000-0001-7294-7496","affiliations":[{"raw_affiliation_string":"Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"The Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115601505","display_name":"Lili Zhang","orcid":"https://orcid.org/0000-0002-8566-7298"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Zhang","raw_affiliation_strings":["Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China","The Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"The Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014098372","display_name":"Xiongfei Liu","orcid":"https://orcid.org/0000-0001-8316-4833"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongfei Liu","raw_affiliation_strings":["Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China","The Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"The Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014918694","display_name":"Hailang Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailang Qiao","raw_affiliation_strings":["Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China","The Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"The Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072140074"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":2.5412,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88804773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"14","issue":"7","first_page":"1732","last_page":"1732"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9473000168800354,"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/computer-science","display_name":"Computer science","score":0.8368126153945923},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5784183740615845},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.563083291053772},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5616989731788635},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4691818058490753},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.46818792819976807},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.46283578872680664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4626046419143677},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44523176550865173},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.422366201877594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3768390119075775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3706900179386139},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10652270913124084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07145139575004578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8368126153945923},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5784183740615845},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.563083291053772},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5616989731788635},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4691818058490753},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.46818792819976807},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.46283578872680664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4626046419143677},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44523176550865173},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.422366201877594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3768390119075775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3706900179386139},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10652270913124084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07145139575004578},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14071732","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14071732","pdf_url":"https://www.mdpi.com/2072-4292/14/7/1732/pdf?version=1649644001","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8d657217b2544719ae7e1a6da070b2bb","is_oa":true,"landing_page_url":"https://doaj.org/article/8d657217b2544719ae7e1a6da070b2bb","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":"Remote Sensing, Vol 14, Iss 7, p 1732 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/7/1732/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14071732","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14071732","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14071732","pdf_url":"https://www.mdpi.com/2072-4292/14/7/1732/pdf?version=1649644001","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226178801.pdf","grobid_xml":"https://content.openalex.org/works/W4226178801.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W35847158","https://openalex.org/W73112891","https://openalex.org/W1479775735","https://openalex.org/W1901129140","https://openalex.org/W1964038289","https://openalex.org/W1965176928","https://openalex.org/W1993177888","https://openalex.org/W2008547937","https://openalex.org/W2009742404","https://openalex.org/W2024918151","https://openalex.org/W2076938548","https://openalex.org/W2085528185","https://openalex.org/W2097375363","https://openalex.org/W2098180043","https://openalex.org/W2099226952","https://openalex.org/W2101993754","https://openalex.org/W2104095591","https://openalex.org/W2107739064","https://openalex.org/W2109196765","https://openalex.org/W2109815793","https://openalex.org/W2132527938","https://openalex.org/W2138317821","https://openalex.org/W2167069501","https://openalex.org/W2387730615","https://openalex.org/W2416190443","https://openalex.org/W2547880720","https://openalex.org/W2559597482","https://openalex.org/W2567758704","https://openalex.org/W2595659188","https://openalex.org/W2595964094","https://openalex.org/W2638069280","https://openalex.org/W2735039185","https://openalex.org/W2743136947","https://openalex.org/W2770697187","https://openalex.org/W2780861787","https://openalex.org/W2798925380","https://openalex.org/W2804199516","https://openalex.org/W2884281986","https://openalex.org/W2890554434","https://openalex.org/W2893801697","https://openalex.org/W2962730651","https://openalex.org/W2963270775","https://openalex.org/W2963881378","https://openalex.org/W2975194617","https://openalex.org/W2999277469","https://openalex.org/W3105636206","https://openalex.org/W3125708048","https://openalex.org/W3127423878","https://openalex.org/W3165336848","https://openalex.org/W3203699578","https://openalex.org/W3214248441","https://openalex.org/W6652589859","https://openalex.org/W6684687398","https://openalex.org/W6734723330","https://openalex.org/W6762793124","https://openalex.org/W6804177484"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4387838477","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W2067193074","https://openalex.org/W2182785089","https://openalex.org/W2890372105"],"abstract_inverted_index":{"Today,":[0],"with":[1,165],"the":[2,6,36,64,73,77,84,90,98,101,109,125,146,149,155,158],"rapid":[3],"development":[4],"of":[5,39,67,80,113,129,148,157],"geographic":[7],"information":[8],"industry,":[9],"automatic":[10],"road":[11,40],"extraction":[12],"from":[13,89],"satellite":[14],"imagery":[15],"is":[16,56,105],"a":[17,51,117,178],"basic":[18],"requirement.":[19],"Most":[20],"existing":[21],"methods":[22,32,167],"have":[23],"been":[24],"designed":[25,136],"based":[26,137],"on":[27,138,168],"binary":[28],"segmentation.":[29],"However,":[30],"these":[31],"do":[33],"not":[34],"consider":[35],"topological":[37],"features":[38,66],"networks,":[41],"which":[42,60,122,143],"include":[43],"point,":[44],"edge,":[45],"and":[46,69,82,111,140,181],"direction.":[47],"In":[48],"this":[49],"study,":[50],"topology-based":[52],"multi-task":[53],"convolution":[54],"network":[55,75],"designed,":[57],"namely":[58],"Bi-HRNet,":[59,160],"can":[61,123,144],"effectively":[62],"learn":[63,124],"key":[65],"nodes":[68,104],"their":[70],"directions.":[71],"First,":[72],"proposed":[74,159],"learns":[76],"node":[78,91],"heatmap":[79,92],"roads,":[81],"then":[83],"pixel":[85],"coordinates":[86],"are":[87,135],"extracted":[88],"via":[93],"non-maximum":[94],"suppression":[95],"(NMS).":[96],"At":[97],"same":[99],"time,":[100],"connectivity":[102,119,150],"between":[103,151],"predicted.":[106],"To":[107,153],"improve":[108,145],"integrity":[110],"accuracy":[112,147],"connectivity,":[114],"we":[115,161],"propose":[116],"bidirectional":[118,126,133],"prediction":[120],"strategy,":[121],"categories":[127,134],"instead":[128],"direction":[130],"angles.":[131],"The":[132,171],"\u201ctop-to-bottom\u201d":[139],"\u201cbottom-to-top\u201d":[141],"strategies,":[142],"nodes.":[152],"illustrate":[154],"effectiveness":[156],"compare":[162],"our":[163,175],"method":[164,176],"several":[166],"different":[169],"datasets.":[170],"experiments":[172],"show":[173],"that":[174],"achieves":[177],"state-of-the-art":[179],"performance":[180],"significantly":[182],"outperforms":[183],"various":[184],"previous":[185],"methods.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
