{"id":"https://openalex.org/W3047305092","doi":"https://doi.org/10.3390/s20164353","title":"Chimney Detection Based on Faster R-CNN and Spatial Analysis Methods in High Resolution Remote Sensing Images","display_name":"Chimney Detection Based on Faster R-CNN and Spatial Analysis Methods in High Resolution Remote Sensing Images","publication_year":2020,"publication_date":"2020-08-05","ids":{"openalex":"https://openalex.org/W3047305092","doi":"https://doi.org/10.3390/s20164353","mag":"3047305092","pmid":"https://pubmed.ncbi.nlm.nih.gov/32764226"},"language":"en","primary_location":{"id":"doi:10.3390/s20164353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20164353","pdf_url":"https://www.mdpi.com/1424-8220/20/16/4353/pdf?version=1597136469","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/16/4353/pdf?version=1597136469","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111493997","display_name":"Chunming Han","orcid":null},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunming Han","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103254485","display_name":"Guangfu Li","orcid":"https://orcid.org/0000-0002-1513-2466"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangfu Li","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013487630","display_name":"Yixing Ding","orcid":"https://orcid.org/0000-0003-4264-136X"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yixing Ding","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0003-4264-136X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112745818","display_name":"Fuli Yan","orcid":"https://orcid.org/0000-0001-9037-5890"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuli Yan","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0001-9037-5890","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102829097","display_name":"Linyan Bai","orcid":"https://orcid.org/0000-0002-4466-8569"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyan Bai","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013487630"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.3338,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.82193882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"16","first_page":"4353","last_page":"4353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973000288009644,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9886999726295471,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/chimney","display_name":"Chimney (locomotive)","score":0.8198385238647461},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6409245133399963},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5545790791511536},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5529932975769043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5297694206237793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5246736407279968},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5151406526565552},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43489202857017517},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4228637218475342},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3956177234649658},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37477123737335205},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15956789255142212},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1349342167377472},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12493517994880676},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12166532874107361}],"concepts":[{"id":"https://openalex.org/C182655101","wikidata":"https://www.wikidata.org/wiki/Q5099391","display_name":"Chimney (locomotive)","level":3,"score":0.8198385238647461},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6409245133399963},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5545790791511536},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5529932975769043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5297694206237793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5246736407279968},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5151406526565552},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43489202857017517},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4228637218475342},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3956177234649658},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37477123737335205},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15956789255142212},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1349342167377472},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12493517994880676},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12166532874107361},{"id":"https://openalex.org/C58874564","wikidata":"https://www.wikidata.org/wiki/Q130768","display_name":"Smoke","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20164353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20164353","pdf_url":"https://www.mdpi.com/1424-8220/20/16/4353/pdf?version=1597136469","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:32764226","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32764226","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:e44c27748eb148278d15fe7b95a7c783","is_oa":true,"landing_page_url":"https://doaj.org/article/e44c27748eb148278d15fe7b95a7c783","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":"Sensors, Vol 20, Iss 16, p 4353 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/16/4353/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20164353","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":"Sensors; Volume 20; Issue 16; Pages: 4353","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7472159","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7472159","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20164353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20164353","pdf_url":"https://www.mdpi.com/1424-8220/20/16/4353/pdf?version=1597136469","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3441788350","display_name":null,"funder_award_id":"41590853","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6245484177","display_name":null,"funder_award_id":"2018YFC0213600","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G90881182","display_name":null,"funder_award_id":"2018YFC0213600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3047305092.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1965877721","https://openalex.org/W2003086251","https://openalex.org/W2102605133","https://openalex.org/W2116456623","https://openalex.org/W2136251662","https://openalex.org/W2163352848","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2241675565","https://openalex.org/W2294631366","https://openalex.org/W2308318555","https://openalex.org/W2407521645","https://openalex.org/W2412558220","https://openalex.org/W2442495293","https://openalex.org/W2565639579","https://openalex.org/W2601564443","https://openalex.org/W2610843922","https://openalex.org/W2613718673","https://openalex.org/W2755188318","https://openalex.org/W2773307537","https://openalex.org/W2788202095","https://openalex.org/W2944053494","https://openalex.org/W2945904398","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2979564387","https://openalex.org/W3099008583","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W2025223263","https://openalex.org/W2386777508","https://openalex.org/W4297108320","https://openalex.org/W2185868125","https://openalex.org/W4312115983","https://openalex.org/W2044092692","https://openalex.org/W2614621130","https://openalex.org/W2547665164","https://openalex.org/W3103111272","https://openalex.org/W4289655544"],"abstract_inverted_index":{"Spatially":[0],"location":[1],"and":[2,42,54,67,148,167,204,227],"working":[3,44,123],"status":[4,45],"of":[5,12,40,47,100,116,199,224],"pollution":[6],"sources":[7],"are":[8,120,152],"very":[9],"important":[10],"pieces":[11],"information":[13],"for":[14],"environment":[15,52],"protection.":[16],"Waste":[17],"gas":[18],"produced":[19],"by":[20,163,220],"fossil":[21],"fuel":[22],"consumption":[23],"in":[24,94,106],"the":[25,31,38,68,80,85,92,126,132,142,156,171,181,196,207,222,241],"industry":[26],"is":[27,46,88,104,129,134,161,244],"mainly":[28],"discharged":[29],"to":[30,50,78,90,154,170,179,194,210],"atmosphere":[32],"through":[33],"a":[34,113],"chimney.":[35],"Therefore,":[36,137],"detecting":[37],"distribution":[39],"chimneys":[41,93,235],"their":[43],"great":[48],"significance":[49],"urban":[51],"monitoring":[53],"environmental":[55],"governance.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,188],"use":[61,189,206],"an":[62,176],"open":[63],"access":[64],"dataset":[65],"BUAA-FFPP60":[66],"faster":[69],"regions":[70],"with":[71],"convolutional":[72],"neural":[73],"network":[74],"(Faster":[75],"R-CNN)":[76],"algorithm":[77],"train":[79],"preliminarily":[81],"detection":[82,242],"model.":[83],"Then,":[84],"trained":[86],"model":[87,145],"used":[89],"detect":[91],"three":[95],"high-resolution":[96,172],"remote":[97],"sensing":[98],"images":[99,166],"Google":[101],"Maps,":[102],"which":[103],"located":[105],"Tangshan":[107],"city.":[108],"The":[109,159,216],"results":[110,217],"show":[111,218],"that":[112,219],"large":[114],"number":[115],"false":[117,157,182,212,234],"positive":[118,183,213],"targets":[119,214],"detected.":[121],"For":[122],"chimney":[124],"detection,":[125],"recall":[127],"rate":[128],"77.27%,":[130],"but":[131],"precision":[133,243],"only":[135],"40.47%.":[136],"two":[138],"spatial":[139],"analysis":[140,192],"methods,":[141],"digital":[143],"terrain":[144],"(DTM)":[146],"filtering,":[147,187],"main":[149,197,208,228],"direction":[150,198,209,229],"test":[151],"introduced":[153],"remove":[155,211],"chimneys.":[158],"DTM":[160,186,225],"generated":[162],"ZiYuan-3":[164],"satellite":[165],"then":[168,205],"registered":[169],"image.":[173],"We":[174],"set":[175],"elevation":[177],"threshold":[178],"filter":[180],"targets.":[184],"After":[185],"principle":[190],"component":[191],"(PCA)":[193],"calculate":[195],"each":[200],"target":[201],"image":[202],"slice,":[203],"further.":[215],"using":[221],"combination":[223],"filtering":[226],"test,":[230],"more":[231],"than":[232],"95%":[233],"can":[236],"be":[237],"removed":[238],"and,":[239],"therefore,":[240],"significantly":[245],"increased.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}