{"id":"https://openalex.org/W2626902430","doi":"https://doi.org/10.3390/s17061364","title":"Local Competition-Based Superpixel Segmentation Algorithm in Remote Sensing","display_name":"Local Competition-Based Superpixel Segmentation Algorithm in Remote Sensing","publication_year":2017,"publication_date":"2017-06-12","ids":{"openalex":"https://openalex.org/W2626902430","doi":"https://doi.org/10.3390/s17061364","mag":"2626902430","pmid":"https://pubmed.ncbi.nlm.nih.gov/28604641"},"language":"en","primary_location":{"id":"doi:10.3390/s17061364","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17061364","pdf_url":"https://www.mdpi.com/1424-8220/17/6/1364/pdf?version=1497265613","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/17/6/1364/pdf?version=1497265613","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108050252","display_name":"Jiayin Liu","orcid":"https://orcid.org/0000-0001-7554-9661"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayin Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735663","display_name":"Zhenmin Tang","orcid":"https://orcid.org/0000-0001-6708-2205"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenmin Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020844588","display_name":"Ying Cui","orcid":"https://orcid.org/0000-0002-8209-2679"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Cui","raw_affiliation_strings":["College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102329500","display_name":"Guoxing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxing Wu","raw_affiliation_strings":["Huawei Technologies Co., Ltd., Nanjing 210012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd., Nanjing 210012, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108050252"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.047,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89119073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"17","issue":"6","first_page":"1364","last_page":"1364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9955999851226807,"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":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6746272444725037},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6080768704414368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5769833326339722},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5209430456161499},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4987914562225342},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48037537932395935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4756973683834076},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.4744625687599182},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45251891016960144},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45104289054870605},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4274942874908447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21295985579490662}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6746272444725037},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6080768704414368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5769833326339722},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5209430456161499},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4987914562225342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48037537932395935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4756973683834076},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4744625687599182},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45251891016960144},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45104289054870605},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4274942874908447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21295985579490662},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s17061364","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17061364","pdf_url":"https://www.mdpi.com/1424-8220/17/6/1364/pdf?version=1497265613","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:28604641","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28604641","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:2beaa508692446f5a9233635ea210dd5","is_oa":true,"landing_page_url":"https://doaj.org/article/2beaa508692446f5a9233635ea210dd5","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":"Sensors, Vol 17, Iss 6, p 1364 (2017)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4343040","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5492160","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/6/1364/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17061364","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":"Sensors; Volume 17; Issue 6; Pages: 1364","raw_type":"Text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/127004","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/127004","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.3390/s17061364","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17061364","pdf_url":"https://www.mdpi.com/1424-8220/17/6/1364/pdf?version=1497265613","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1149638113","display_name":"\u57fa\u4e8e\u573a\u666f-\u62d3\u6251\u7684\u591a\u673a\u5668\u4eba\u534f\u4f5c\u73af\u5883\u641c\u7d22\u7814\u7a76","funder_award_id":"61371040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6832046529","display_name":null,"funder_award_id":"61403202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7125554721","display_name":null,"funder_award_id":"61473154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2626902430.pdf","grobid_xml":"https://content.openalex.org/works/W2626902430.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W13815759","https://openalex.org/W33116912","https://openalex.org/W1508404128","https://openalex.org/W1590946397","https://openalex.org/W1791783407","https://openalex.org/W1938929646","https://openalex.org/W1950112384","https://openalex.org/W1985468858","https://openalex.org/W1999478155","https://openalex.org/W2004578244","https://openalex.org/W2016872984","https://openalex.org/W2036439475","https://openalex.org/W2039684198","https://openalex.org/W2045095960","https://openalex.org/W2049444988","https://openalex.org/W2056528953","https://openalex.org/W2067191022","https://openalex.org/W2073658943","https://openalex.org/W2073842936","https://openalex.org/W2083597815","https://openalex.org/W2085529604","https://openalex.org/W2087353192","https://openalex.org/W2097915756","https://openalex.org/W2097998671","https://openalex.org/W2104125540","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2124260943","https://openalex.org/W2135431554","https://openalex.org/W2136251662","https://openalex.org/W2142290030","https://openalex.org/W2144348684","https://openalex.org/W2149471024","https://openalex.org/W2178242898","https://openalex.org/W2215066518","https://openalex.org/W2293105860","https://openalex.org/W2328148566","https://openalex.org/W2471353525","https://openalex.org/W2496304207","https://openalex.org/W2518831014","https://openalex.org/W2523396434","https://openalex.org/W2531452236","https://openalex.org/W2545985378","https://openalex.org/W2547537331","https://openalex.org/W2548469972","https://openalex.org/W2548960829","https://openalex.org/W2586793539","https://openalex.org/W2591248827","https://openalex.org/W2593576981","https://openalex.org/W2804865177"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,84,232],"technologies":[2],"have":[3,42],"been":[4],"widely":[5],"applied":[6],"in":[7,17,34,82,152],"urban":[8],"environments'":[9],"monitoring,":[10],"synthesis":[11],"and":[12,28,45,78,85,115,127,129,143,188,230],"modeling.":[13],"Incorporating":[14],"spatial":[15,49],"information":[16],"perceptually":[18],"coherent":[19],"regions,":[20],"superpixel-based":[21,52],"approaches":[22],"can":[23,54],"effectively":[24],"eliminate":[25],"the":[26,61,69,131,138,158,172,179,208,216,220,225,237,241,246],"\"salt":[27],"pepper\"":[29],"phenomenon":[30],"which":[31,105,163],"is":[32,76,134,164,175,199,249],"common":[33],"pixel-wise":[35],"approaches.":[36],"Compared":[37],"with":[38,101,171,219],"fixed-size":[39],"windows,":[40],"superpixels":[41,183],"adaptive":[43],"sizes":[44],"shapes":[46],"for":[47],"different":[48,153],"structures.":[50],"Moreover,":[51],"algorithms":[53],"significantly":[55],"improve":[56],"computational":[57,193],"efficiency":[58],"owing":[59],"to":[60,111,123,137,177,201,214],"greatly":[62],"reduced":[63],"number":[64],"of":[65,140,182,207],"image":[66,141,154],"primitives.":[67],"Hence,":[68],"superpixel":[70,95],"algorithm,":[71],"as":[72,184],"a":[73,94,107,185,195],"preprocessing":[74],"technique,":[75],"more":[77,79,186],"popularly":[80],"used":[81],"remote":[83,231],"many":[86],"other":[87,221],"fields.":[88],"In":[89,156],"this":[90],"paper,":[91],"we":[92],"propose":[93],"segmentation":[96],"algorithm":[97,133,218,239],"called":[98],"Superpixel":[99],"Segmentation":[100,227],"Local":[102],"Competition":[103],"(SSLC),":[104],"utilizes":[106],"local":[108,119],"competition":[109,120],"mechanism":[110,121],"construct":[112],"energy":[113,124],"terms":[114,125],"label":[116],"pixels.":[117],"The":[118],"leads":[122],"locality":[126],"relativity,":[128],"thus,":[130],"proposed":[132,217],"less":[135],"sensitive":[136],"diversity":[139],"content":[142],"scene":[144],"layout.":[145],"Consequently,":[146],"SSLC":[147,238],"could":[148],"achieve":[149],"consistent":[150],"performance":[151],"regions.":[155],"addition,":[157],"Probability":[159],"Density":[160,168],"Function":[161],"(PDF),":[162],"estimated":[165],"by":[166],"Kernel":[167],"Estimation":[169],"(KDE)":[170],"Gaussian":[173],"kernel,":[174],"introduced":[176,200],"describe":[178],"color":[180],"distribution":[181],"sophisticated":[187],"accurate":[189],"measure.":[190],"To":[191],"reduce":[192],"complexity,":[194],"boundary":[196,204],"optimization":[197],"framework":[198],"only":[202],"handle":[203],"pixels":[205],"instead":[206],"whole":[209],"image.":[210],"We":[211],"conduct":[212],"experiments":[213],"benchmark":[215],"state-of-the-art":[222],"ones":[223],"on":[224],"Berkeley":[226],"Dataset":[228],"(BSD)":[229],"images.":[233],"Results":[234],"demonstrate":[235],"that":[236],"yields":[240],"best":[242],"overall":[243],"performance,":[244],"while":[245],"computation":[247],"time-efficiency":[248],"still":[250],"competitive.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
