{"id":"https://openalex.org/W3203945716","doi":"https://doi.org/10.3390/rs13193826","title":"ME-Net: A Multi-Scale Erosion Network for Crisp Building Edge Detection from Very High Resolution Remote Sensing Imagery","display_name":"ME-Net: A Multi-Scale Erosion Network for Crisp Building Edge Detection from Very High Resolution Remote Sensing Imagery","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3203945716","doi":"https://doi.org/10.3390/rs13193826","mag":"3203945716"},"language":"en","primary_location":{"id":"doi:10.3390/rs13193826","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193826","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3826/pdf?version=1632728967","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/19/3826/pdf?version=1632728967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024534549","display_name":"Xiang Wen","orcid":"https://orcid.org/0000-0002-5570-166X"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wen","raw_affiliation_strings":["School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China"],"affiliations":[{"raw_affiliation_string":"School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358708","display_name":"Xing Li","orcid":"https://orcid.org/0000-0003-3793-1581"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Li","raw_affiliation_strings":["School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China"],"affiliations":[{"raw_affiliation_string":"School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004750246","display_name":"Ce Zhang","orcid":"https://orcid.org/0000-0001-5100-3584"},"institutions":[{"id":"https://openalex.org/I4210092773","display_name":"UK Centre for Ecology & Hydrology","ror":"https://ror.org/00pggkr55","country_code":"GB","type":"other","lineage":["https://openalex.org/I4210092773"]},{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ce Zhang","raw_affiliation_strings":["Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK","UK Centre for Ecology& Hydrology, Library Avenue, Lancaster LA1 4AP, UK"],"affiliations":[{"raw_affiliation_string":"Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"UK Centre for Ecology& Hydrology, Library Avenue, Lancaster LA1 4AP, UK","institution_ids":["https://openalex.org/I4210092773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067954968","display_name":"Wenquan Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141685","display_name":"Nanjing Surveying and Mapping Research Institute (China)","ror":"https://ror.org/042t78q04","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141685"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenquan Han","raw_affiliation_strings":["Nanjing Institute of Surveying, Mapping & Geotechnical Investigation, Co., Ltd., Nanjing 210019, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Surveying, Mapping & Geotechnical Investigation, Co., Ltd., Nanjing 210019, China","institution_ids":["https://openalex.org/I4210141685"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042696867","display_name":"Erzhu Li","orcid":"https://orcid.org/0000-0002-5881-618X"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erzhu Li","raw_affiliation_strings":["School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China"],"affiliations":[{"raw_affiliation_string":"School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431652","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-6565-5815"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China"],"affiliations":[{"raw_affiliation_string":"School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101612318","display_name":"Lianpeng Zhang","orcid":"https://orcid.org/0000-0001-9765-9730"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lianpeng Zhang","raw_affiliation_strings":["School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China"],"affiliations":[{"raw_affiliation_string":"School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China","institution_ids":["https://openalex.org/I118574674"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101612318"],"corresponding_institution_ids":["https://openalex.org/I118574674"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.1373,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80977261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"13","issue":"19","first_page":"3826","last_page":"3826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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":0.9990000128746033,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6847764253616333},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6625359654426575},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6262953877449036},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5937618017196655},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5246056318283081},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47245147824287415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4573303163051605},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4299907386302948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3315144181251526},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2032359540462494},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19943299889564514},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.194798082113266},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18582335114479065},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15023693442344666},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12351128458976746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6847764253616333},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6625359654426575},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6262953877449036},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5937618017196655},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5246056318283081},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47245147824287415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4573303163051605},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4299907386302948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3315144181251526},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2032359540462494},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19943299889564514},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.194798082113266},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18582335114479065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15023693442344666},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12351128458976746},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/rs13193826","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193826","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3826/pdf?version=1632728967","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/d5bb3ebe-1912-4830-8b63-c71743d169c9","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/d5bb3ebe-1912-4830-8b63-c71743d169c9","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wen, X, Li, X, Zhang, C, Han, W, Li, E, Liu, W & Zhang, L 2021, 'Me-Net : A multi-scale erosion network for crisp building edge detection from very high resolution remote sensing imagery', Remote Sensing, vol. 13, no. 19, 3826. https://doi.org/10.3390/rs13193826","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:eprints.lancs.ac.uk:160077","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/160077/1/remotesensing_13_03826_manuscript.docx","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:nora.nerc.ac.uk:531194","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400758","display_name":"NERC Open Research Archive (Natural Environment Research Council)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141816643","host_organization_name":"Natural Environment Research Council","host_organization_lineage":["https://openalex.org/I141816643"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Publication - Article"},{"id":"pmh:oai:doaj.org/article:6bda07f31e3e4d068f6aad792952bbef","is_oa":true,"landing_page_url":"https://doaj.org/article/6bda07f31e3e4d068f6aad792952bbef","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 19, p 3826 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/19/3826/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13193826","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":"Remote Sensing","raw_type":"Text"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire/d5bb3ebe-1912-4830-8b63-c71743d169c9","is_oa":true,"landing_page_url":"https://hdl.handle.net/1983/d5bb3ebe-1912-4830-8b63-c71743d169c9","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wen, X, Li, X, Zhang, C, Han, W, Li, E, Liu, W & Zhang, L 2021, 'Me-Net : A multi-scale erosion network for crisp building edge detection from very high resolution remote sensing imagery', Remote Sensing, vol. 13, no. 19, 3826. https://doi.org/10.3390/rs13193826","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.3390/rs13193826","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193826","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3826/pdf?version=1632728967","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4112071391","display_name":null,"funder_award_id":"41801327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3203945716.pdf","grobid_xml":"https://content.openalex.org/works/W3203945716.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1842610785","https://openalex.org/W1910619957","https://openalex.org/W1930528368","https://openalex.org/W1976047850","https://openalex.org/W1984850722","https://openalex.org/W2010181071","https://openalex.org/W2015386604","https://openalex.org/W2066916495","https://openalex.org/W2071356085","https://openalex.org/W2110158442","https://openalex.org/W2116046277","https://openalex.org/W2145023731","https://openalex.org/W2151049637","https://openalex.org/W2160619799","https://openalex.org/W2163605009","https://openalex.org/W2165914352","https://openalex.org/W2241675565","https://openalex.org/W2248723555","https://openalex.org/W2253590344","https://openalex.org/W2314029052","https://openalex.org/W2412782625","https://openalex.org/W2416190443","https://openalex.org/W2496759915","https://openalex.org/W2532691318","https://openalex.org/W2549804631","https://openalex.org/W2567850185","https://openalex.org/W2596817256","https://openalex.org/W2609402060","https://openalex.org/W2783877714","https://openalex.org/W2883254424","https://openalex.org/W2885628263","https://openalex.org/W2888799854","https://openalex.org/W2889009110","https://openalex.org/W2890072312","https://openalex.org/W2897593716","https://openalex.org/W2934268922","https://openalex.org/W2953881420","https://openalex.org/W2962914239","https://openalex.org/W2963796061","https://openalex.org/W2964309882","https://openalex.org/W2967087542","https://openalex.org/W2980346985","https://openalex.org/W2984066748","https://openalex.org/W2991441757","https://openalex.org/W3004265084","https://openalex.org/W3016571809","https://openalex.org/W3103868522","https://openalex.org/W3105409087","https://openalex.org/W3110121205","https://openalex.org/W4206272681","https://openalex.org/W4241071816","https://openalex.org/W6631144339","https://openalex.org/W6646572973","https://openalex.org/W7036952098"],"related_works":["https://openalex.org/W2139939267","https://openalex.org/W1974511032","https://openalex.org/W2315652488","https://openalex.org/W2028037572","https://openalex.org/W2039365229","https://openalex.org/W65623452","https://openalex.org/W2145843506","https://openalex.org/W4293054829","https://openalex.org/W2056407677","https://openalex.org/W2128085731"],"abstract_inverted_index":{"The":[0,139],"detection":[1,74,174],"of":[2,30,50,59,107,132,160],"building":[3,72,78,135,152,167,201],"edges":[4,202],"from":[5,203],"very":[6],"high":[7],"resolution":[8],"(VHR)":[9],"remote":[10,205],"sensing":[11,206],"imagery":[12],"is":[13,192],"essential":[14],"to":[15,54,75,93,114,118,128],"various":[16],"geo-related":[17],"applications,":[18],"including":[19],"surveying":[20],"and":[21,97,103,150,163,170,177,184,195],"mapping,":[22],"urban":[23],"management,":[24],"etc.":[25],"Recently,":[26],"the":[27,48,55,77,91,95,100,111,119,130,133,148,157,189],"rapid":[28],"development":[29],"deep":[31],"convolutional":[32],"neural":[33],"networks":[34,175],"(DCNNs)":[35],"has":[36,45],"achieved":[37],"remarkable":[38],"progress":[39],"in":[40,90,181],"edge":[41,51,73,79,96,108,136,168,173],"detection;":[42],"however,":[43],"there":[44],"always":[46],"been":[47],"problem":[49],"thickness":[52],"due":[53],"large":[56],"receptive":[57,120],"field":[58],"DCNNs.":[60],"In":[61,122,186],"this":[62],"paper,":[63],"we":[64],"proposed":[65,190],"a":[66,124,187],"multi-scale":[67],"erosion":[68,87],"network":[69,92],"(ME-Net)":[70],"for":[71,198],"crisp":[76,94,200],"through":[80],"two":[81],"innovative":[82],"approaches:":[83],"(1)":[84],"embedding":[85],"an":[86,193],"module":[88],"(EM)":[89],"(2)":[98],"adding":[99],"Dice":[101],"coefficient":[102],"local":[104],"cross":[105],"entropy":[106],"neighbors":[109],"into":[110],"loss":[112],"function":[113],"increase":[115],"its":[116],"sensitivity":[117],"field.":[121],"addition,":[123],"new":[125],"metric,":[126],"Ene,":[127],"measure":[129],"crispness":[131],"predicted":[134],"was":[137],"proposed.":[138],"experiment":[140],"results":[141],"show":[142],"that":[143],"ME-Net":[144,191],"not":[145],"only":[146],"detects":[147],"clearest":[149],"crispest":[151],"edges,":[153],"but":[154],"also":[155],"achieves":[156],"best":[158],"OA":[159],"98.75%,":[161],"95.00%":[162],"95.51%":[164],"on":[165],"three":[166],"datasets,":[169],"exceeds":[171],"other":[172],"3.17%":[176],"0.44%":[178],"at":[179],"least":[180],"strict":[182],"F1-score":[183],"Ene.":[185],"word,":[188],"effective":[194],"practical":[196],"approach":[197],"detecting":[199],"VHR":[204],"imagery.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}