{"id":"https://openalex.org/W4391972646","doi":"https://doi.org/10.3390/rs16050740","title":"A Lightweight Building Extraction Approach for Contour Recovery in Complex Urban Environments","display_name":"A Lightweight Building Extraction Approach for Contour Recovery in Complex Urban Environments","publication_year":2024,"publication_date":"2024-02-20","ids":{"openalex":"https://openalex.org/W4391972646","doi":"https://doi.org/10.3390/rs16050740"},"language":"en","primary_location":{"id":"doi:10.3390/rs16050740","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050740","pdf_url":"https://www.mdpi.com/2072-4292/16/5/740/pdf?version=1708438023","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/2072-4292/16/5/740/pdf?version=1708438023","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100685165","display_name":"Jiaxin He","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin He","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897563","display_name":"Yong Cheng","orcid":"https://orcid.org/0009-0001-2287-2809"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Cheng","raw_affiliation_strings":["School of Software, Nanjing University of Information Science & Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108936572","display_name":"Wei Wang","orcid":"https://orcid.org/0009-0004-6516-1363"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053232262","display_name":"Zhoupeng Ren","orcid":"https://orcid.org/0000-0003-1766-2820"},"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/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhoupeng Ren","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004750246","display_name":"Ce Zhang","orcid":"https://orcid.org/0000-0001-5100-3584"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ce Zhang","raw_affiliation_strings":["School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, UK"],"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385511","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0002-4463-6014"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Zhang","raw_affiliation_strings":["School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053232262"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.9448,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83310778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"5","first_page":"740","last_page":"740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9979000091552734,"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":0.9979000091552734,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976999759674072,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7793482542037964},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5240768790245056},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5187023878097534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4992105960845947},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4139055609703064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37584739923477173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36624014377593994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3261035680770874},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12746143341064453},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.117768794298172},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08584150671958923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793482542037964},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5240768790245056},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5187023878097534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4992105960845947},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4139055609703064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37584739923477173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36624014377593994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3261035680770874},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12746143341064453},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.117768794298172},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08584150671958923},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16050740","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050740","pdf_url":"https://www.mdpi.com/2072-4292/16/5/740/pdf?version=1708438023","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:research-information.bris.ac.uk:openaire/288c8b4b-b4b4-455b-8706-0876dc599903","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/288c8b4b-b4b4-455b-8706-0876dc599903","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"He, J, Cheng, Y, Wang, W, Ren, Z, Zhang, C & Zhang, W 2024, 'A Lightweight Building Extraction Approach for Contour Recovery in Complex Urban Environments', Remote Sensing, vol. 16, no. 5, 740. https://doi.org/10.3390/rs16050740","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:af14fe7142754de4add3a72ebf9d66af","is_oa":true,"landing_page_url":"https://doaj.org/article/af14fe7142754de4add3a72ebf9d66af","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 5, p 740 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16050740","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050740","pdf_url":"https://www.mdpi.com/2072-4292/16/5/740/pdf?version=1708438023","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":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2824074713","display_name":null,"funder_award_id":"41875184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7637496536","display_name":null,"funder_award_id":"the Innovation Project of LREIS (YPI007)","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8158008486","display_name":null,"funder_award_id":"41975183","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/F4320326832","display_name":"State Key Laboratory of Resources and Environmental Information System","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391972646.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2094682449","https://openalex.org/W2412782625","https://openalex.org/W2547880720","https://openalex.org/W2560023338","https://openalex.org/W2782865993","https://openalex.org/W2783548794","https://openalex.org/W2886934227","https://openalex.org/W2906484232","https://openalex.org/W2912114399","https://openalex.org/W2915731581","https://openalex.org/W2950163323","https://openalex.org/W2963163009","https://openalex.org/W2964309882","https://openalex.org/W2971587063","https://openalex.org/W2991954627","https://openalex.org/W2994520500","https://openalex.org/W3000613089","https://openalex.org/W3001899001","https://openalex.org/W3014641072","https://openalex.org/W3034502973","https://openalex.org/W3047883241","https://openalex.org/W3049335070","https://openalex.org/W3053564872","https://openalex.org/W3177052299","https://openalex.org/W3203892710","https://openalex.org/W4213172700","https://openalex.org/W4229002315","https://openalex.org/W4280626505","https://openalex.org/W4310494058","https://openalex.org/W4312284508","https://openalex.org/W4323658944","https://openalex.org/W4367721800","https://openalex.org/W4385228479","https://openalex.org/W4387515118","https://openalex.org/W6674282598","https://openalex.org/W6748277205","https://openalex.org/W6771093909","https://openalex.org/W6781889703","https://openalex.org/W6808691509","https://openalex.org/W6851109477","https://openalex.org/W6851878526","https://openalex.org/W6855033588","https://openalex.org/W6856953258"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"High-spatial-resolution":[0],"urban":[1,8,109,186,195,254],"buildings":[2,28,33,187],"play":[3],"a":[4,74,80,193,209,233],"crucial":[5],"role":[6],"in":[7,58,112,182,253],"planning,":[9],"emergency":[10],"response,":[11],"and":[12,32,52,54,64,86,95,114,124,144,156,162,208,232,264],"disaster":[13],"management.":[14],"However,":[15],"challenges":[16],"such":[17,292],"as":[18,293],"missing":[19],"building":[20,44,66,93,110,196,255],"contours":[21],"due":[22,40],"to":[23,41,216,240,289],"occlusion":[24],"problems":[25],"(occlusion":[26],"between":[27],"of":[29,43,79,98,134,185,206,212,230,236,274],"different":[30],"heights":[31],"obscured":[34],"by":[35],"trees),":[36,53],"uneven":[37],"contour":[38],"extraction":[39,94,184,256,295],"mixing":[42],"edges":[45],"with":[46,121],"other":[47],"feature":[48],"elements":[49],"(roads,":[50],"vehicles,":[51],"slow":[55],"training":[56],"speed":[57,176,210,234,266],"high-resolution":[59,189],"image":[60],"data":[61],"hinder":[62],"efficient":[63],"accurate":[65],"extraction.":[67,299],"To":[68],"address":[69],"these":[70],"issues,":[71],"we":[72],"propose":[73],"semantic":[75,126],"segmentation":[76,127,262],"model":[77,170,201,225,279],"composed":[78],"lightweight":[81,92,248],"backbone,":[82],"coordinate":[83],"attention":[84],"module,":[85,89],"pooling":[87],"fusion":[88],"which":[90,285],"achieves":[91,226],"adaptive":[96],"recovery":[97],"spatial":[99],"contours.":[100],"Comparative":[101],"experiments":[102],"were":[103],"conducted":[104],"on":[105,150,192,271],"datasets":[106,152],"featuring":[107],"typical":[108,194],"instances":[111],"China":[113],"the":[115,132,183,217,221,241,259,261,272,276],"Mapchallenge":[116,159,222],"dataset,":[117,223],"comparing":[118],"our":[119,135,169,200,224],"method":[120],"several":[122],"classical":[123],"mainstream":[125],"algorithms.":[128],"The":[129],"results":[130],"demonstrate":[131],"effectiveness":[133],"approach,":[136],"achieving":[137],"excellent":[138],"mean":[139],"intersection":[140],"over":[141],"union":[142],"(mIoU)":[143],"frames":[145],"per":[146],"second":[147],"(FPS)":[148],"scores":[149],"both":[151],"(China":[153],"dataset:":[154,160],"85.11%":[155],"110.67":[157],"FPS;":[158],"90.27%":[161],"117.68":[163],"FPS).":[164],"Quantitative":[165],"evaluations":[166],"indicate":[167],"that":[168,247],"not":[171],"only":[172],"significantly":[173],"improves":[174],"computational":[175],"but":[177],"also":[178],"ensures":[179],"high":[180],"accuracy":[181,204,228,263],"from":[188,198],"imagery.":[190],"Specifically,":[191],"dataset":[197],"China,":[199],"shows":[202],"an":[203,227],"improvement":[205,229],"0.64%":[207],"increase":[211,235],"70.03":[213],"FPS":[214,238],"compared":[215,239],"baseline":[218,242],"model.":[219,243],"On":[220],"0.54%":[231],"42.39":[237],"Our":[244],"research":[245,290],"indicates":[246],"networks":[249],"show":[250],"significant":[251],"potential":[252],"tasks.":[257],"In":[258],"future,":[260],"prediction":[265],"can":[267,286],"be":[268,287],"further":[269],"balanced":[270],"basis":[273],"adjusting":[275],"deep":[277],"learning":[278],"or":[280,296],"introducing":[281],"remote":[282],"sensing":[283],"indices,":[284],"applied":[288],"scenarios":[291],"greenfield":[294],"multi-class":[297],"target":[298]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-20T07:46:08.049788","created_date":"2025-10-10T00:00:00"}