{"id":"https://openalex.org/W3119079803","doi":"https://doi.org/10.1145/3436369.3437424","title":"Plateau Forest Detection Based on Regional Correlation","display_name":"Plateau Forest Detection Based on Regional Correlation","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3119079803","doi":"https://doi.org/10.1145/3436369.3437424","mag":"3119079803"},"language":"en","primary_location":{"id":"doi:10.1145/3436369.3437424","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436369.3437424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhang Jia-qi","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Jia-qi","raw_affiliation_strings":["Beijing University of Technology, Beijing Laboratory of Advanced Information Networks and Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing Laboratory of Advanced Information Networks and Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jia Ke-bin","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Ke-bin","raw_affiliation_strings":["Beijing University of Technology, Beijing Laboratory of Advanced Information Networks and Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing Laboratory of Advanced Information Networks and Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Zhi-hao","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhi-hao","raw_affiliation_strings":["Beijing University of Technology, Beijing Laboratory of Advanced Information Networks and Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing Laboratory of Advanced Information Networks and Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liu Peng-yu","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Peng-yu","raw_affiliation_strings":["Beijing University of Technology, Beijing Laboratory of Advanced Information Networks and Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing Laboratory of Advanced Information Networks and Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103500990","display_name":"Ma Ying","orcid":null},"institutions":[{"id":"https://openalex.org/I290007724","display_name":"Qinghai University for Nationalities","ror":"https://ror.org/01e7csr82","country_code":"CN","type":"education","lineage":["https://openalex.org/I290007724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ma Ying","raw_affiliation_strings":["Qinghai University for Nationalities, Information Engineering, Sining China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qinghai University for Nationalities, Information Engineering, Sining China","institution_ids":["https://openalex.org/I290007724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009346768","display_name":"Jianzhuo Yan","orcid":"https://orcid.org/0000-0002-9116-4769"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Jian-zhuo","raw_affiliation_strings":["Beijing University of Technology, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32160155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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":0.9962000250816345,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6765623092651367},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5402576327323914},{"id":"https://openalex.org/keywords/plateau","display_name":"Plateau (mathematics)","score":0.5307474136352539},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43707531690597534},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42903801798820496},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4171462655067444},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3546893000602722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33160829544067383},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23662200570106506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09754332900047302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765623092651367},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5402576327323914},{"id":"https://openalex.org/C2780030769","wikidata":"https://www.wikidata.org/wiki/Q4968575","display_name":"Plateau (mathematics)","level":2,"score":0.5307474136352539},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43707531690597534},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42903801798820496},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4171462655067444},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3546893000602722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33160829544067383},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23662200570106506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09754332900047302},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3436369.3437424","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436369.3437424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1676314349","https://openalex.org/W1974391063","https://openalex.org/W2054611379","https://openalex.org/W2130627644","https://openalex.org/W2395611524","https://openalex.org/W2804713550"],"related_works":["https://openalex.org/W4200528772","https://openalex.org/W3102253946","https://openalex.org/W4308191152","https://openalex.org/W2769435486","https://openalex.org/W4293211451","https://openalex.org/W2673946014","https://openalex.org/W2963940192","https://openalex.org/W4226289457","https://openalex.org/W3148584990","https://openalex.org/W2899211859"],"abstract_inverted_index":{"Forest":[0],"is":[1,65,135,144],"one":[2],"of":[3,17,38,43,75,88,131,141,152,161,192,194,200],"the":[4,15,26,32,72,96,108,125,138,149,175,190,198],"most":[5],"important":[6,146],"natural":[7,153],"resources.":[8,40],"Therefore,":[9],"people":[10],"are":[11],"eager":[12],"to":[13,30,94,137,168],"acquire":[14],"information":[16,100],"forest":[18,39,105,163,201],"resources":[19,154],"quickly,":[20],"accurately,":[21],"and":[22,24,35,47,116,143,171,184],"efficiently,":[23],"monitor":[25],"changes":[27],"in":[28,91,107,129,155,178,203],"time,":[29],"realize":[31],"scientific":[33],"management":[34],"effective":[36],"utilization":[37],"The":[41,157],"combination":[42],"remote":[44,158,204],"sensing":[45,159],"technology":[46,50],"image":[48,115,127],"segmentation":[49],"can":[51,101],"effectively":[52],"solve":[53],"this":[54,114],"problem.":[55],"This":[56],"paper":[57],"proposed":[58],"a":[59],"convolutional":[60],"neural":[61],"network":[62],"RC-Unet,":[63],"which":[64,84,134,196],"based":[66],"on":[67,71,124],"Unet":[68],"architecture.":[69],"Based":[70],"region":[73,140],"correlation":[74],"forest,":[76,195],"we":[77],"firstly":[78],"put":[79],"forward":[80],"an":[81,145],"innovative":[82],"theory,":[83],"use":[85],"8":[86,117],"pieces":[87],"surrounding":[89,118],"images":[90],"Sudoku":[92],"style":[93],"predict":[95],"center":[97],"image.":[98],"More":[99],"be":[102],"provided":[103],"for":[104,148],"detection":[106,199],"middle":[109],"area":[110,147],"by":[111],"simultaneously":[112],"input":[113],"images.":[119],"Our":[120,186],"experiments":[121],"were":[122],"performed":[123],"Ziyuan-3":[126],"data,":[128],"northeast":[130],"Qinghai":[132],"province,":[133],"belongs":[136],"Sanjiangyuan":[139],"China":[142],"concentrated":[150],"protection":[151],"China.":[156],"database":[160],"plateau":[162],"was":[164],"established":[165],"creatively.":[166],"Comparing":[167],"decision":[169],"tree":[170],"Unet,":[172],"RC-Unet":[173],"showed":[174],"best":[176],"results":[177],"evaluation":[179],"metrics":[180],"included":[181],"accuracy,":[182],"recall":[183],"F1-score.":[185],"finding":[187],"has":[188],"taken":[189],"advantage":[191],"specificity":[193],"promote":[197],"areas":[202],"sensing.":[205]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
