{"id":"https://openalex.org/W3187895259","doi":"https://doi.org/10.1155/2021/8235108","title":"A Mountain Summit Recognition Method Based on Improved Faster R\u2010CNN","display_name":"A Mountain Summit Recognition Method Based on Improved Faster R\u2010CNN","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3187895259","doi":"https://doi.org/10.1155/2021/8235108","mag":"3187895259"},"language":"en","primary_location":{"id":"doi:10.1155/2021/8235108","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8235108","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/8235108.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/8235108.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029182709","display_name":"Yueping Kong","orcid":"https://orcid.org/0000-0002-7914-1628"},"institutions":[{"id":"https://openalex.org/I148099405","display_name":"Xi'an University of Architecture and Technology","ror":"https://ror.org/04v2j2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I148099405"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yueping Kong","raw_affiliation_strings":["School of Information and Control, Xi'an University of Architecture and Technology, Xi'an 710055, China"],"raw_orcid":"https://orcid.org/0000-0002-7914-1628","affiliations":[{"raw_affiliation_string":"School of Information and Control, Xi'an University of Architecture and Technology, Xi'an 710055, China","institution_ids":["https://openalex.org/I148099405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618680","display_name":"Yun Wang","orcid":"https://orcid.org/0000-0003-0350-1241"},"institutions":[{"id":"https://openalex.org/I148099405","display_name":"Xi'an University of Architecture and Technology","ror":"https://ror.org/04v2j2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I148099405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Wang","raw_affiliation_strings":["School of Information and Control, Xi'an University of Architecture and Technology, Xi'an 710055, China"],"raw_orcid":"https://orcid.org/0000-0003-0350-1241","affiliations":[{"raw_affiliation_string":"School of Information and Control, Xi'an University of Architecture and Technology, Xi'an 710055, China","institution_ids":["https://openalex.org/I148099405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035113789","display_name":"Song Guo","orcid":"https://orcid.org/0000-0001-6841-753X"},"institutions":[{"id":"https://openalex.org/I148099405","display_name":"Xi'an University of Architecture and Technology","ror":"https://ror.org/04v2j2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I148099405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Guo","raw_affiliation_strings":["School of Information and Control, Xi'an University of Architecture and Technology, Xi'an 710055, China"],"raw_orcid":"https://orcid.org/0000-0001-6841-753X","affiliations":[{"raw_affiliation_string":"School of Information and Control, Xi'an University of Architecture and Technology, Xi'an 710055, China","institution_ids":["https://openalex.org/I148099405"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiajing Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I148099405","display_name":"Xi'an University of Architecture and Technology","ror":"https://ror.org/04v2j2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I148099405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajing Wang","raw_affiliation_strings":["School of Information and Control, Xi'an University of Architecture and Technology, Xi'an 710055, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control, Xi'an University of Architecture and Technology, Xi'an 710055, China","institution_ids":["https://openalex.org/I148099405"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029182709"],"corresponding_institution_ids":["https://openalex.org/I148099405"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.9602,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82356208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/T10535","display_name":"Landslides and related hazards","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/T10644","display_name":"Cryospheric studies and observations","score":0.9733999967575073,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9660999774932861,"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/summit","display_name":"Summit","score":0.8148571252822876},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7342371344566345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7309219837188721},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6439653635025024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6199064254760742},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5805612802505493},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5765100717544556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5045105218887329},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.501899242401123},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.49994587898254395},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.43330737948417664},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4139418601989746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35163018107414246},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3440234363079071},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.26256346702575684},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24142858386039734},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2273634672164917},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19992020726203918},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11317405104637146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09201347827911377}],"concepts":[{"id":"https://openalex.org/C2778848561","wikidata":"https://www.wikidata.org/wiki/Q207326","display_name":"Summit","level":2,"score":0.8148571252822876},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7342371344566345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7309219837188721},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6439653635025024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6199064254760742},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5805612802505493},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5765100717544556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5045105218887329},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.501899242401123},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.49994587898254395},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.43330737948417664},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4139418601989746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35163018107414246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3440234363079071},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.26256346702575684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24142858386039734},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2273634672164917},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19992020726203918},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11317405104637146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09201347827911377},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/8235108","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8235108","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/8235108.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:8235108","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2021/8235108.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:0a7b5a9a0cef40d68152169b57ea2e56","is_oa":true,"landing_page_url":"https://doaj.org/article/0a7b5a9a0cef40d68152169b57ea2e56","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":"Complexity, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/8235108","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8235108","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/8235108.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G1555529606","display_name":null,"funder_award_id":"SKLGIE2018-Z-4-1","funder_id":"https://openalex.org/F4320326985","funder_display_name":"State Key Laboratory of Geo-Information Engineering"},{"id":"https://openalex.org/G905832573","display_name":null,"funder_award_id":"2019JM-183","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320326985","display_name":"State Key Laboratory of Geo-Information Engineering","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3187895259.pdf","grobid_xml":"https://content.openalex.org/works/W3187895259.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1795050996","https://openalex.org/W1861492603","https://openalex.org/W1914578858","https://openalex.org/W1976255297","https://openalex.org/W2017496690","https://openalex.org/W2031489346","https://openalex.org/W2047706025","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2278830514","https://openalex.org/W2560900959","https://openalex.org/W2565639579","https://openalex.org/W2769010475","https://openalex.org/W2899553147","https://openalex.org/W2899944658","https://openalex.org/W2919115771","https://openalex.org/W2962949934","https://openalex.org/W2964080601","https://openalex.org/W3003266520","https://openalex.org/W3004492228","https://openalex.org/W3004932743","https://openalex.org/W3015959804","https://openalex.org/W3098876696","https://openalex.org/W3106250896","https://openalex.org/W3111813289","https://openalex.org/W4403104478","https://openalex.org/W7021045759"],"related_works":["https://openalex.org/W1982074779","https://openalex.org/W4241376597","https://openalex.org/W3203904831","https://openalex.org/W630050097","https://openalex.org/W2280577319","https://openalex.org/W2352077919","https://openalex.org/W4246682738","https://openalex.org/W1538842854","https://openalex.org/W3011039718","https://openalex.org/W2248209783"],"abstract_inverted_index":{"Mountain":[0],"summits":[1,61,89],"are":[2,8],"vital":[3],"topographic":[4],"feature":[5,113,162],"points,":[6],"which":[7],"essential":[9],"for":[10],"understanding":[11],"landform":[12],"processes":[13],"and":[14,20,37,62,110,144,156,184,191],"their":[15],"impacts":[16],"on":[17,27,94],"the":[18,65,87,97,107,119,127,139,154,160,167,176,181],"environment":[19],"ecosystem.":[21],"Traditional":[22],"summit":[23,129,169,189],"detection":[24,40,130],"methods":[25,48],"operate":[26],"handcrafted":[28],"features":[29,120,190],"extracted":[30,161],"from":[31,64,90],"digital":[32],"elevation":[33],"model":[34],"(DEM)":[35],"data":[36],"apply":[38],"parametric":[39],"algorithms":[41],"to":[42,54,71,84,105,117,124,137,152,164],"locate":[43],"mountain":[44,88,128,168],"summits.":[45,195],"However,":[46],"these":[47,73],"may":[49],"no":[50],"longer":[51],"be":[52],"effective":[53],"achieve":[55,180],"desirable":[56],"recognition":[57],"results":[58,173],"in":[59,159],"small":[60,194],"suffer":[63],"objective":[66],"criterion":[67],"lacking":[68],"problem.":[69],"Thus,":[70],"address":[72,126],"problems,":[74],"we":[75],"propose":[76],"an":[77],"improved":[78,98],"Faster":[79,95],"region\u2010convolutional":[80],"neural":[81],"network":[82,99,115,178],"(R\u2010CNN)":[83],"accurately":[85,192],"detect":[86],"DEM":[91],"data.":[92],"Based":[93],"R\u2010CNN,":[96],"adopts":[100],"a":[101,112],"residual":[102,133],"convolution":[103,134],"block":[104],"replace":[106],"traditional":[108],"part":[109],"adds":[111],"pyramid":[114],"(FPN)":[116],"fuse":[118],"with":[121],"adjacent":[122],"layers":[123],"better":[125],"task.":[131],"The":[132,148,171],"is":[135,150],"employed":[136],"capture":[138],"deep":[140],"correlation":[141],"between":[142],"visual":[143],"physical":[145],"morphological":[146],"features.":[147],"FPN":[149],"utilized":[151],"integrate":[153],"location":[155],"semantic":[157],"information":[158],"maps":[163],"effectively":[165],"represent":[166],"area.":[170],"experimental":[172],"demonstrate":[174],"that":[175],"proposed":[177],"could":[179],"highest":[182],"recall":[183],"precision":[185],"without":[186],"manually":[187],"designed":[188],"identify":[193]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}