{"id":"https://openalex.org/W4401992528","doi":"https://doi.org/10.3390/ijgi13090309","title":"An Efficient Algorithm for Extracting Railway Tracks Based on Spatial-Channel Graph Convolutional Network and Deep Neural Residual Network","display_name":"An Efficient Algorithm for Extracting Railway Tracks Based on Spatial-Channel Graph Convolutional Network and Deep Neural Residual Network","publication_year":2024,"publication_date":"2024-08-29","ids":{"openalex":"https://openalex.org/W4401992528","doi":"https://doi.org/10.3390/ijgi13090309"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi13090309","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13090309","pdf_url":"https://www.mdpi.com/2220-9964/13/9/309/pdf?version=1724998530","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/13/9/309/pdf?version=1724998530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045599145","display_name":"Yanbin Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanbin Weng","raw_affiliation_strings":["College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101522493","display_name":"Meng Xu","orcid":"https://orcid.org/0009-0002-5816-4852"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Xu","raw_affiliation_strings":["College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023237535","display_name":"Xiahu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiahu Chen","raw_affiliation_strings":["College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China","Zhuzhou Taichang Electronic Information Technology Co., Ltd., Zhuzhou 412007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China","institution_ids":["https://openalex.org/I49934816"]},{"raw_affiliation_string":"Zhuzhou Taichang Electronic Information Technology Co., Ltd., Zhuzhou 412007, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101647635","display_name":"Peng Cheng","orcid":"https://orcid.org/0000-0002-6684-5984"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Peng","raw_affiliation_strings":["College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084472313","display_name":"Hui Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xiang","raw_affiliation_strings":["College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113041715","display_name":"Peixin Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixin Xie","raw_affiliation_strings":["College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053608292","display_name":"Hua Yin","orcid":"https://orcid.org/0000-0001-7942-3724"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yin","raw_affiliation_strings":["College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hunan University of Technology, Tianyuan District, Zhuzhou 412007, China","institution_ids":["https://openalex.org/I49934816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5045599145"],"corresponding_institution_ids":["https://openalex.org/I49934816"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.0286,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75152551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"13","issue":"9","first_page":"309","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9977999925613403,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9936000108718872,"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/residual","display_name":"Residual","score":0.8297080993652344},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7449237108230591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6447202563285828},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5795047283172607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5442308783531189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5250822305679321},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4717322885990143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4418973922729492},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1844823956489563},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09079182147979736}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8297080993652344},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7449237108230591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6447202563285828},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5795047283172607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5442308783531189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5250822305679321},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4717322885990143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4418973922729492},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1844823956489563},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09079182147979736}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi13090309","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13090309","pdf_url":"https://www.mdpi.com/2220-9964/13/9/309/pdf?version=1724998530","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6e2e51e7c6bd498eadd37eafe541f125","is_oa":true,"landing_page_url":"https://doaj.org/article/6e2e51e7c6bd498eadd37eafe541f125","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 13, Iss 9, p 309 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/13/9/309/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi13090309","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":"ISPRS International Journal of Geo-Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi13090309","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13090309","pdf_url":"https://www.mdpi.com/2220-9964/13/9/309/pdf?version=1724998530","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6100000143051147}],"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/G1517041379","display_name":null,"funder_award_id":"52172","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/G2097151789","display_name":null,"funder_award_id":"2021YFF0501101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2720693503","display_name":null,"funder_award_id":"2021YFF0501101","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"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/G3641860345","display_name":null,"funder_award_id":"62373178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","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"},{"id":"https://openalex.org/G710240305","display_name":null,"funder_award_id":"52172403","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G7711738205","display_name":null,"funder_award_id":"2021YFF0501101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8047774328","display_name":null,"funder_award_id":"52172403","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8565355979","display_name":null,"funder_award_id":"2024JJ7139","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G8582211768","display_name":null,"funder_award_id":"2024JJ71","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"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/W4401992528.pdf","grobid_xml":"https://content.openalex.org/works/W4401992528.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1535289548","https://openalex.org/W2791392402","https://openalex.org/W2893801697","https://openalex.org/W2954300568","https://openalex.org/W2962793481","https://openalex.org/W2963163009","https://openalex.org/W3035526186","https://openalex.org/W3153388040","https://openalex.org/W3155355417","https://openalex.org/W3159533239","https://openalex.org/W3214248441","https://openalex.org/W4207072246","https://openalex.org/W4212888320","https://openalex.org/W4292559802","https://openalex.org/W4307960650","https://openalex.org/W4309343528","https://openalex.org/W4313201808","https://openalex.org/W4313399770","https://openalex.org/W4316661019","https://openalex.org/W4320925042","https://openalex.org/W4327695706","https://openalex.org/W4377137472","https://openalex.org/W4382138563","https://openalex.org/W4384153375","https://openalex.org/W4385345872","https://openalex.org/W4387264030","https://openalex.org/W4391454266","https://openalex.org/W4391781022","https://openalex.org/W4391827184","https://openalex.org/W4392499125","https://openalex.org/W4396699608","https://openalex.org/W6794808484","https://openalex.org/W6804177484","https://openalex.org/W6848386029"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W4293226380","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W4300237897"],"abstract_inverted_index":{"The":[0,41,75,104,114],"accurate":[1],"detection":[2],"of":[3,13,93],"railway":[4,144,158],"tracks":[5],"is":[6,45,131],"essential":[7],"for":[8],"ensuring":[9],"the":[10,91,136,151],"safe":[11],"operation":[12],"railways.":[14],"This":[15,130],"study":[16],"introduces":[17],"an":[18,86,126],"innovative":[19],"algorithm":[20,115,153],"that":[21,150],"utilizes":[22],"a":[23,59,63,132],"graph":[24],"convolutional":[25],"network":[26,32],"(GCN)":[27],"and":[28,53,68,85,97,110,118,122],"deep":[29,76],"neural":[30,77],"residual":[31,78],"to":[33],"enhance":[34],"feature":[35,112],"extraction":[36],"from":[37],"high-resolution":[38],"aerial":[39],"imagery.":[40],"traditional":[42],"encoder\u2013decoder":[43],"architecture":[44],"expanded":[46],"with":[47],"GCN,":[48],"which":[49,80],"improves":[50,90],"neighborhood":[51],"definitions":[52],"enables":[54],"long-range":[55],"information":[56,70,96],"exchange":[57],"in":[58,143,157,167],"single":[60],"layer.":[61],"As":[62],"result,":[64],"complex":[65],"track":[66,145,159],"features":[67],"contextual":[69],"are":[71],"captured":[72],"more":[73],"effectively.":[74],"network,":[79],"incorporates":[81],"depthwise":[82],"separable":[83],"convolution":[84],"inverted":[87],"bottleneck":[88],"design,":[89],"representation":[92],"long-distance":[94],"positional":[95],"addresses":[98],"occlusion":[99],"caused":[100],"by":[101],"train":[102],"carriages.":[103],"scSE":[105],"attention":[106],"mechanism":[107],"reduces":[108],"noise":[109],"optimizes":[111],"representation.":[113],"was":[116],"trained":[117],"tested":[119],"on":[120],"custom":[121],"Massachusetts":[123],"datasets,":[124],"demonstrating":[125],"89.79%":[127],"recall":[128],"rate.":[129],"3.17%":[133],"improvement":[134],"over":[135],"original":[137],"U-Net":[138],"model,":[139],"indicating":[140],"excellent":[141],"performance":[142],"segmentation.":[146],"These":[147],"findings":[148],"suggest":[149],"proposed":[152],"not":[154],"only":[155],"excels":[156],"segmentation":[160],"but":[161],"also":[162],"offers":[163],"significant":[164],"competitive":[165],"advantages":[166],"performance.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
