{"id":"https://openalex.org/W3035565681","doi":"https://doi.org/10.3390/rs12121937","title":"Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method","display_name":"Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method","publication_year":2020,"publication_date":"2020-06-15","ids":{"openalex":"https://openalex.org/W3035565681","doi":"https://doi.org/10.3390/rs12121937","mag":"3035565681"},"language":"en","primary_location":{"id":"doi:10.3390/rs12121937","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12121937","pdf_url":"https://www.mdpi.com/2072-4292/12/12/1937/pdf?version=1592473924","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/2072-4292/12/12/1937/pdf?version=1592473924","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009204622","display_name":"Mengjiao Qin","orcid":"https://orcid.org/0000-0001-8720-1873"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjiao Qin","raw_affiliation_strings":["Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Zhejiang University, Hangzhou 310027, China","School of Earth Sciences, Zhejiang University, Hangzhou 310027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038218327","display_name":"Linshu Hu","orcid":"https://orcid.org/0000-0003-0015-0570"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linshu Hu","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou 310027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069094261","display_name":"Zhenhong Du","orcid":"https://orcid.org/0000-0001-9449-0415"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenhong Du","raw_affiliation_strings":["Key Laboratory of Geographic Information Science of Zhejiang Province, Zhejiang University, Hangzhou 310028, China","School of Earth Sciences, Zhejiang University, Hangzhou 310027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science of Zhejiang Province, Zhejiang University, Hangzhou 310028, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085876298","display_name":"Yi Gao","orcid":"https://orcid.org/0000-0001-7897-5965"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Gao","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou 310027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091444599","display_name":"Lianjie Qin","orcid":"https://orcid.org/0000-0002-3581-3752"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianjie Qin","raw_affiliation_strings":["Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management and Ministry of Education, Beijing Normal University, Beijing 100875, China","Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management and Ministry of Education, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401308","display_name":"Feng Zhang","orcid":"https://orcid.org/0000-0003-1475-8480"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["Key Laboratory of Geographic Information Science of Zhejiang Province, Zhejiang University, Hangzhou 310028, China","School of Earth Sciences, Zhejiang University, Hangzhou 310027, China"],"raw_orcid":"https://orcid.org/0000-0003-1475-8480","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science of Zhejiang Province, Zhejiang University, Hangzhou 310028, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102930211","display_name":"Renyi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renyi Liu","raw_affiliation_strings":["Key Laboratory of Geographic Information Science of Zhejiang Province, Zhejiang University, Hangzhou 310028, China","School of Earth Sciences, Zhejiang University, Hangzhou 310027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science of Zhejiang Province, Zhejiang University, Hangzhou 310028, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5069094261"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.1769,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.81183036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"12","issue":"12","first_page":"1937","last_page":"1937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987000226974487,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987000226974487,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996399998664856,"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":0.9937000274658203,"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/remote-sensing","display_name":"Remote sensing","score":0.7800725698471069},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6318416595458984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5722795128822327},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48632535338401794},{"id":"https://openalex.org/keywords/spectroradiometer","display_name":"Spectroradiometer","score":0.483607679605484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4539371430873871},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4439123272895813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32101958990097046},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2304905354976654},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.21972346305847168}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7800725698471069},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6318416595458984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5722795128822327},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48632535338401794},{"id":"https://openalex.org/C130066347","wikidata":"https://www.wikidata.org/wiki/Q680509","display_name":"Spectroradiometer","level":3,"score":0.483607679605484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4539371430873871},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4439123272895813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32101958990097046},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2304905354976654},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.21972346305847168},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12121937","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12121937","pdf_url":"https://www.mdpi.com/2072-4292/12/12/1937/pdf?version=1592473924","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:63f93b45611d46de8657eee2002b5f36","is_oa":true,"landing_page_url":"https://doaj.org/article/63f93b45611d46de8657eee2002b5f36","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 12, Iss 12, p 1937 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/12/1937/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12121937","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; Volume 12; Issue 12; Pages: 1937","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12121937","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12121937","pdf_url":"https://www.mdpi.com/2072-4292/12/12/1937/pdf?version=1592473924","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":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G1016183770","display_name":null,"funder_award_id":"41871287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1583088338","display_name":null,"funder_award_id":"2018YFB0505000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6660855116","display_name":null,"funder_award_id":"2018YFB0505000","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035565681.pdf","grobid_xml":"https://content.openalex.org/works/W3035565681.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W156779288","https://openalex.org/W817971873","https://openalex.org/W1916849548","https://openalex.org/W1930824406","https://openalex.org/W1946646115","https://openalex.org/W1980118448","https://openalex.org/W2013301826","https://openalex.org/W2020514916","https://openalex.org/W2062811295","https://openalex.org/W2077509829","https://openalex.org/W2087380704","https://openalex.org/W2101678239","https://openalex.org/W2114770744","https://openalex.org/W2133665775","https://openalex.org/W2161829879","https://openalex.org/W2163935418","https://openalex.org/W2199836608","https://openalex.org/W2202665948","https://openalex.org/W2242218935","https://openalex.org/W2464532968","https://openalex.org/W2476548250","https://openalex.org/W2502041161","https://openalex.org/W2534320940","https://openalex.org/W2565388442","https://openalex.org/W2570221118","https://openalex.org/W2794252992","https://openalex.org/W2799120945","https://openalex.org/W2810821452","https://openalex.org/W2883102461","https://openalex.org/W2903246098","https://openalex.org/W2907551576","https://openalex.org/W2908939395","https://openalex.org/W2911583094","https://openalex.org/W2912099980","https://openalex.org/W2916813082","https://openalex.org/W2931993473","https://openalex.org/W2962903125","https://openalex.org/W2963620158","https://openalex.org/W2963704386","https://openalex.org/W2963729050","https://openalex.org/W3007236234","https://openalex.org/W3013529009"],"related_works":["https://openalex.org/W3005969065","https://openalex.org/W2157744011","https://openalex.org/W2767054107","https://openalex.org/W2098065523","https://openalex.org/W1991776856","https://openalex.org/W2147723852","https://openalex.org/W4392409607","https://openalex.org/W1990369483","https://openalex.org/W4235897794","https://openalex.org/W2031512949"],"abstract_inverted_index":{"Lakes":[0],"have":[1],"been":[2],"identified":[3],"as":[4,170,172],"an":[5,26],"important":[6,85],"indicator":[7],"of":[8,48,56,112,124,156,178,199],"climate":[9],"change":[10,207],"and":[11,62,134,181,209],"a":[12,35,191],"finer":[13,212],"lake":[14,38,173,206,213],"area":[15,39],"can":[16,100],"better":[17],"reflect":[18],"the":[19,46,53,59,80,89,96,109,113,145,154,166,197],"changes.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"propose":[25],"effective":[27],"unsupervised":[28,161],"deep":[29,49],"gradient":[30,65,75],"network":[31],"(UDGN)":[32],"to":[33,67,83,102,152,194],"generate":[34,68],"higher":[36,71],"resolution":[37,201],"from":[40,79,95,126,140],"remote":[41,128,202],"sensing":[42,129,203],"images.":[43,130],"By":[44],"exploiting":[45],"power":[47],"learning,":[50],"UDGN":[51,99,114,164],"models":[52],"internal":[54],"recurrence":[55],"information":[57],"inside":[58],"single":[60],"image":[61,82],"its":[63],"corresponding":[64],"map":[66,76],"images":[69,139,204],"with":[70,159],"spatial":[72],"resolution.":[73],"The":[74,184],"is":[77],"derived":[78],"input":[81,97],"provide":[84],"geographical":[86],"information.":[87],"Since":[88],"training":[90],"samples":[91],"are":[92,118],"only":[93],"extracted":[94],"image,":[98],"adapt":[101],"different":[103],"settings":[104],"per":[105],"image.":[106],"Based":[107],"on":[108,144],"superior":[110],"adaptability":[111],"model,":[115],"two":[116,141],"strategies":[117],"proposed":[119],"for":[120],"super-resolution":[121],"(SR)":[122],"mapping":[123],"lakes":[125],"multispectral":[127],"Finally,":[131],"Landsat":[132],"8":[133],"MODIS":[135],"(moderate-resolution":[136],"imaging":[137],"spectroradiometer)":[138],"study":[142],"areas":[143],"Tibetan":[146],"Plateau":[147],"in":[148,176,205],"China":[149],"were":[150],"used":[151],"evaluate":[153],"performance":[155],"UDGN.":[157],"Compared":[158],"four":[160],"SR":[162,168],"methods,":[163],"obtained":[165],"best":[167],"results":[169,175],"well":[171],"extraction":[174],"terms":[177],"both":[179],"quantitative":[180],"visual":[182],"aspects.":[183],"experiments":[185],"prove":[186],"that":[187],"our":[188],"approach":[189],"provides":[190],"promising":[192],"way":[193],"break":[195],"through":[196],"limitations":[198],"median-low":[200],"monitoring,":[208],"ultimately":[210],"support":[211],"applications.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}