{"id":"https://openalex.org/W4220909596","doi":"https://doi.org/10.1142/s0218213022500130","title":"Influence of Building Recognition of High-point Monitoring Image by the Optimized Faster R-CNN on Urban Planning","display_name":"Influence of Building Recognition of High-point Monitoring Image by the Optimized Faster R-CNN on Urban Planning","publication_year":2022,"publication_date":"2022-03-01","ids":{"openalex":"https://openalex.org/W4220909596","doi":"https://doi.org/10.1142/s0218213022500130"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213022500130","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213022500130","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"},"type":"article","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":"https://openalex.org/A5022013076","display_name":"Haiyuan Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I96478251","display_name":"Hunan Institute of Technology","ror":"https://ror.org/04n3k2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I96478251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyuan Tang","raw_affiliation_strings":["College of Design Art, Hunan Institute of Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Design Art, Hunan Institute of Technology, Hunan, China","institution_ids":["https://openalex.org/I96478251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110848319","display_name":"Lige Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I96478251","display_name":"Hunan Institute of Technology","ror":"https://ror.org/04n3k2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I96478251"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lige Peng","raw_affiliation_strings":["College of Design Art, Hunan Institute of Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Design Art, Hunan Institute of Technology, Hunan, China","institution_ids":["https://openalex.org/I96478251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110848319"],"corresponding_institution_ids":["https://openalex.org/I96478251"],"apc_list":null,"apc_paid":null,"fwci":0.6129,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68941117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"31","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.3686999976634979,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.3686999976634979,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8959543704986572},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7764484882354736},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6157591342926025},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5870128273963928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5691621899604797},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5425918102264404},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4751584231853485},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47228366136550903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4597077965736389},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.4536322057247162},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4380589425563812},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4292328655719757},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37085089087486267},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.11174622178077698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8959543704986572},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7764484882354736},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6157591342926025},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5870128273963928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5691621899604797},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5425918102264404},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4751584231853485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47228366136550903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4597077965736389},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.4536322057247162},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4380589425563812},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4292328655719757},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37085089087486267},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.11174622178077698},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213022500130","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213022500130","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4210874298","https://openalex.org/W2778653980"],"abstract_inverted_index":{"The":[0],"purpose":[1],"of":[2,14,57,84,125,140],"the":[3,12,24,29,45,58,72,91,108,113,122,136],"study":[4],"is":[5,42,62,111,128],"to":[6,98],"obtain":[7],"more":[8,18,150],"powerful":[9],"data":[10],"in":[11,28,78,153],"process":[13],"urban":[15,154,162],"planning,":[16,155],"and":[17,44,52,81,107,115,121,138],"excellent":[19],"building":[20,141],"recognition":[21,142],"algorithms":[22],"for":[23,64],"high-point":[25,133],"monitoring":[26,134],"images":[27],"city.26":[30],"A":[31],"new":[32],"algorithm":[33,61],"based":[34],"on":[35,71,90,131,161],"Faster":[36,59],"R-CNN":[37,60],"(Faster":[38],"Regions-Convolutional":[39],"Neural":[40],"Networks)":[41],"proposed,":[43],"optimization":[46,92,103],"methods":[47,104],"involved":[48],"are":[49,68,88,96,105,117,143],"systematically":[50],"described,":[51],"then":[53],"a":[54,82,158],"simple":[55],"description":[56],"made":[63],"optimization.":[65],"Subsequently,":[66],"experiments":[67],"carried":[69],"out":[70],"MS":[73],"COCO":[74],"(Microsoft":[75],"Common":[76],"Objects":[77],"Context)":[79],"datasets,":[80],"series":[83],"relevant":[85],"experimental":[86],"demonstrations":[87],"conducted":[89],"scheme.":[93],"Different":[94],"features":[95],"used":[97],"extract":[99],"networks;":[100],"some":[101],"practical":[102],"added":[106],"training":[109],"method":[110],"modified;":[112],"speed":[114,137],"accuracy":[116,139],"paid":[118],"attention":[119],"to,":[120],"expected":[123],"goal":[124],"target":[126],"detection":[127],"achieved.":[129],"Based":[130],"this":[132],"image,":[135],"greatly":[144],"optimized.":[145],"Urban":[146],"managers":[147],"will":[148],"have":[149],"reliable":[151],"information":[152],"which":[156],"has":[157],"positive":[159],"impact":[160],"development.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}