{"id":"https://openalex.org/W4281255619","doi":"https://doi.org/10.3390/s22103924","title":"A Novel Bayes Approach to Impervious Surface Extraction from High-Resolution Remote Sensing Images","display_name":"A Novel Bayes Approach to Impervious Surface Extraction from High-Resolution Remote Sensing Images","publication_year":2022,"publication_date":"2022-05-22","ids":{"openalex":"https://openalex.org/W4281255619","doi":"https://doi.org/10.3390/s22103924","pmid":"https://pubmed.ncbi.nlm.nih.gov/35632332"},"language":"en","primary_location":{"id":"doi:10.3390/s22103924","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22103924","pdf_url":"https://www.mdpi.com/1424-8220/22/10/3924/pdf?version=1653211848","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/1424-8220/22/10/3924/pdf?version=1653211848","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004651484","display_name":"Mingchang Wang","orcid":"https://orcid.org/0000-0002-2806-858X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchang Wang","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China","Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China"],"raw_orcid":"https://orcid.org/0000-0002-2806-858X","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]},{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069679249","display_name":"Wen Ding","orcid":"https://orcid.org/0000-0001-5691-3632"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Ding","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"],"raw_orcid":"https://orcid.org/0000-0001-5691-3632","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437480","display_name":"Fengyan Wang","orcid":"https://orcid.org/0000-0002-3460-9928"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyan Wang","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"],"raw_orcid":"https://orcid.org/0000-0002-3460-9928","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039655696","display_name":"Yulian Song","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulian Song","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101718027","display_name":"Xueye Chen","orcid":"https://orcid.org/0009-0009-1194-6399"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueye Chen","raw_affiliation_strings":["Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107951732","display_name":"Ziwei Liu","orcid":"https://orcid.org/0000-0001-5134-4645"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Liu","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069679249"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.6698,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.59931698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"22","issue":"10","first_page":"3924","last_page":"3924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10692","display_name":"Urban Green Space and Health","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/impervious-surface","display_name":"Impervious surface","score":0.9239277839660645},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6331251859664917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5980701446533203},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5433895587921143},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5215420722961426},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5203608870506287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4650707244873047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40740248560905457},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3942018747329712},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3219486474990845},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23480018973350525},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08298611640930176}],"concepts":[{"id":"https://openalex.org/C2668921","wikidata":"https://www.wikidata.org/wiki/Q1434713","display_name":"Impervious surface","level":2,"score":0.9239277839660645},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6331251859664917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5980701446533203},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5433895587921143},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5215420722961426},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5203608870506287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4650707244873047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40740248560905457},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3942018747329712},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3219486474990845},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23480018973350525},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08298611640930176},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002958","descriptor_name":"City Planning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002958","descriptor_name":"City Planning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002958","descriptor_name":"City Planning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002958","descriptor_name":"City Planning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014507","descriptor_name":"Urbanization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014507","descriptor_name":"Urbanization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014507","descriptor_name":"Urbanization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014507","descriptor_name":"Urbanization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058998","descriptor_name":"Remote Sensing Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058998","descriptor_name":"Remote Sensing Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058998","descriptor_name":"Remote Sensing Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058998","descriptor_name":"Remote Sensing Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22103924","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22103924","pdf_url":"https://www.mdpi.com/1424-8220/22/10/3924/pdf?version=1653211848","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:35632332","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35632332","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:3d0fa4abca5a4c11adb673120d91e859","is_oa":true,"landing_page_url":"https://doaj.org/article/3d0fa4abca5a4c11adb673120d91e859","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 22, Iss 10, p 3924 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/10/3924/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22103924","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 22; Issue 10; Pages: 3924","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9147273","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9147273","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/s22103924","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22103924","pdf_url":"https://www.mdpi.com/1424-8220/22/10/3924/pdf?version=1653211848","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":[{"score":0.7699999809265137,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2041864388","display_name":null,"funder_award_id":"2021YFD1500100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3945608558","display_name":null,"funder_award_id":"20210101098JC","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"},{"id":"https://openalex.org/G5892005247","display_name":null,"funder_award_id":"42171407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8673423423","display_name":null,"funder_award_id":"42077242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281255619.pdf","grobid_xml":"https://content.openalex.org/works/W4281255619.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1502342315","https://openalex.org/W1965545344","https://openalex.org/W1992361749","https://openalex.org/W1996534964","https://openalex.org/W2001510610","https://openalex.org/W2009235968","https://openalex.org/W2019452249","https://openalex.org/W2025389829","https://openalex.org/W2034755993","https://openalex.org/W2035021121","https://openalex.org/W2038819298","https://openalex.org/W2048651729","https://openalex.org/W2049827513","https://openalex.org/W2050658827","https://openalex.org/W2123907688","https://openalex.org/W2130269771","https://openalex.org/W2133802438","https://openalex.org/W2159789954","https://openalex.org/W2169672558","https://openalex.org/W2182080221","https://openalex.org/W2376272368","https://openalex.org/W2405004011","https://openalex.org/W2792614433","https://openalex.org/W2887351830","https://openalex.org/W2888997619","https://openalex.org/W2901179012","https://openalex.org/W2907126887","https://openalex.org/W2920254659","https://openalex.org/W2920919916","https://openalex.org/W2929921519","https://openalex.org/W2941246081","https://openalex.org/W2946027484","https://openalex.org/W2946591579","https://openalex.org/W2964808389","https://openalex.org/W2969388626","https://openalex.org/W2974957001","https://openalex.org/W2979936711","https://openalex.org/W3027626119","https://openalex.org/W3037825716","https://openalex.org/W3038035133","https://openalex.org/W3041658568","https://openalex.org/W3048684152","https://openalex.org/W3085972052","https://openalex.org/W3091710273","https://openalex.org/W3095743082","https://openalex.org/W3125864330","https://openalex.org/W3133272206","https://openalex.org/W3154802290","https://openalex.org/W3162976636","https://openalex.org/W3175453937","https://openalex.org/W3185556552","https://openalex.org/W3188024472","https://openalex.org/W4200584364","https://openalex.org/W4210464123","https://openalex.org/W4212852785","https://openalex.org/W4213458655","https://openalex.org/W4229646252","https://openalex.org/W4385536430","https://openalex.org/W6662437232","https://openalex.org/W6685440423","https://openalex.org/W6686081247","https://openalex.org/W6798172394"],"related_works":["https://openalex.org/W2738109983","https://openalex.org/W2364341326","https://openalex.org/W2757433404","https://openalex.org/W4254235682","https://openalex.org/W2054563345","https://openalex.org/W2520989432","https://openalex.org/W3132993209","https://openalex.org/W2159637219","https://openalex.org/W2908289967","https://openalex.org/W2271813916"],"abstract_inverted_index":{"Impervious":[0],"surface":[1,21,42,62,83,107,139,282,290],"as":[2,124],"an":[3,60,81],"evaluation":[4],"indicator":[5],"of":[6,40,53,133,141,161,170,181,186,193,241,251,276,292],"urbanization":[7],"is":[8,16,52,95,260],"crucial":[9],"for":[10,263,288],"urban":[11,34],"planning":[12],"and":[13,26,55,71,119,129,135,156,165,167,174,201,203,211,224,238,244,284,296],"management.":[14],"It":[15],"necessary":[17],"to":[18,28,58,67,102,112],"obtain":[19],"impervious":[20,41,61,82,106,138,265,281,289],"information":[22,291],"with":[23,215],"high":[24,293,297],"accuracy":[25],"resolution":[27,295],"meet":[29],"dynamic":[30],"monitoring":[31],"under":[32],"rapid":[33],"development.":[35],"At":[36],"present,":[37],"the":[38,74,98,131,150,178,184,190,194,204,216,231,236,242,247,273],"methods":[39,196],"extraction":[43,63,84,108,140,179,232,283],"are":[44],"primarily":[45],"based":[46],"on":[47],"medium-low-resolution":[48],"images.":[49,116,145,253],"Therefore,":[50],"it":[51],"theoretical":[54],"application":[56,274],"value":[57,275],"construct":[59],"method":[64],"that":[65,149],"applies":[66],"high-resolution":[68,113,142,252,268],"satellite":[69],"images":[70,123],"can":[72,245],"solve":[73],"shadow":[75,248],"misclassification":[76,249],"problem.":[77],"This":[78],"paper":[79,259],"builds":[80],"model":[85,94,109,243,255],"by":[86],"Bayes":[87,99,277],"discriminant":[88,100,278],"analysis":[89,101,279],"(BDA).":[90],"The":[91,146,254],"Gaussian":[92],"prior":[93],"incorporated":[96],"into":[97],"establish":[103],"a":[104],"new":[105],"(GBDA)":[110],"applicable":[111],"remote":[114,121,143,269],"sensing":[115,122,144,270],"Using":[117],"GF-2":[118],"Sentinel-2":[120,188],"experimental":[125],"data,":[126],"we":[127],"discuss":[128],"analyze":[130],"applicability":[132],"BDA":[134,155,225],"GBDA":[136,227,234],"in":[137,177,257,280],"results":[147,180,185],"showed":[148],"four":[151,195],"methods,":[152,226],"SVM,":[153],"RF,":[154],"GBDA,":[157],"had":[158],"OA":[159,191],"values":[160,169,192,206],"91.26%,":[162],"94.91%,":[163],"94.64%":[164],"97.84%":[166],"Kappa":[168,205],"0.825,":[171],"0.898,":[172],"0.893":[173],"0.957,":[175],"respectively,":[176],"GF-2.":[182],"In":[183],"effective":[187],"extraction,":[189],"were":[197,207],"87.94%,":[198],"91.79%,":[199],"92.19%":[200],"93.51%":[202],"0.759,":[208],"0.836,":[209],"0.844":[210],"0.870,":[212],"respectively.":[213],"Compared":[214],"support":[217,287],"vector":[218],"machine":[219],"(SVM),":[220],"random":[221],"forest":[222],"(RF)":[223],"has":[228],"significantly":[229],"improved":[230],"accuracy.":[233],"enhances":[235],"robustness":[237],"generalization":[239],"ability":[240],"improve":[246],"phenomenon":[250],"constructed":[256],"this":[258],"highly":[261],"reliable":[262],"extracting":[264],"surfaces":[266],"from":[267],"images,":[271],"exploring":[272],"providing":[285],"technical":[286],"spatial":[294],"quality.":[298]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
