{"id":"https://openalex.org/W2987055181","doi":"https://doi.org/10.1109/igarss.2019.8899095","title":"A Fine-Grained Fully Convolutional Network For Extraction of Building Along High-Speed Rail Lines from VHR Remote Sensing Image","display_name":"A Fine-Grained Fully Convolutional Network For Extraction of Building Along High-Speed Rail Lines from VHR Remote Sensing Image","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2987055181","doi":"https://doi.org/10.1109/igarss.2019.8899095","mag":"2987055181"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8899095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019692584","display_name":"Wenfan Qiao","orcid":"https://orcid.org/0000-0003-4555-5731"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfan Qiao","raw_affiliation_strings":["State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077324106","display_name":"Li Shen","orcid":"https://orcid.org/0000-0003-4638-3329"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Shen","raw_affiliation_strings":["State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644806","display_name":"Jicheng Wang","orcid":"https://orcid.org/0000-0003-2744-7059"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jicheng Wang","raw_affiliation_strings":["State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080485606","display_name":"Yungang Cao","orcid":"https://orcid.org/0000-0003-0495-594X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yungang Cao","raw_affiliation_strings":["State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106760865","display_name":"Shi He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi He","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007330621","display_name":"Yanshuai Dai","orcid":"https://orcid.org/0009-0002-1011-6210"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanshuai Dai","raw_affiliation_strings":["State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2019","issue":null,"first_page":"1244","last_page":"1247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9965000152587891,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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":0.7210602760314941},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.6198425889015198},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5443214774131775},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48957690596580505},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4660089612007141},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45602697134017944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4349440634250641},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4315067529678345},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37916621565818787},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19523975253105164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210602760314941},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6198425889015198},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5443214774131775},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48957690596580505},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4660089612007141},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45602697134017944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4349440634250641},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4315067529678345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37916621565818787},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19523975253105164},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2019.8899095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"mag:3162705706","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902212207750826","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1577352482","https://openalex.org/W1745334888","https://openalex.org/W1903029394","https://openalex.org/W2076063813","https://openalex.org/W2194775991","https://openalex.org/W2304648132","https://openalex.org/W2560023338","https://openalex.org/W2574952845","https://openalex.org/W2592939477","https://openalex.org/W2598666589","https://openalex.org/W2603929300","https://openalex.org/W2605208125","https://openalex.org/W2630837129","https://openalex.org/W2736163065","https://openalex.org/W2963881378"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W3046370962"],"abstract_inverted_index":{"Very":[0],"high":[1,22],"resolution":[2,110,150],"(VHR)":[3],"remote":[4,143,186],"sensing":[5,144,187],"offers":[6],"the":[7,16,82,87,99,104,114,142,155,164,180,191,205],"potential":[8,47,181],"for":[9,48,137],"efficient":[10],"identification":[11],"of":[12,31,113,158,183,197],"building":[13,83,138,192,207],"areas":[14,193],"along":[15,86],"high-speed":[17,160],"rail":[18,161],"(HSR)":[19],"lines.":[20,89],"However,":[21],"intra-class":[23],"and":[24,33,45,51,121],"low":[25],"inter-class":[26],"variances":[27],"in":[28,98,201],"this":[29,70,72],"type":[30],"images":[32],"pose":[34],"serious":[35],"challenges.":[36],"Fully":[37],"convolutional":[38,78],"network":[39,79],"(FCN)":[40],"has":[41],"shown":[42],"impressive":[43],"performance":[44],"great":[46],"image":[49,145],"classification":[50,56],"object":[52],"detection.":[53],"Nevertheless,":[54],"only":[55],"results":[57,169],"with":[58,146,171],"coarse":[59],"resolutions":[60],"can":[61,119],"be":[62],"obtained":[63],"from":[64,151],"traditional":[65,115],"FCN-based":[66],"methods.":[67,176],"To":[68],"address":[69],"issue,":[71],"paper":[73],"presents":[74],"a":[75,94],"fine-grained":[76,95],"fully":[77],"to":[80,102,108,133,189,203],"conduct":[81],"extraction":[84],"task":[85],"HSR":[88,198],"The":[90,177],"proposed":[91,165],"method":[92,166],"introduce":[93],"upsampling":[96],"module":[97],"encoder-decoder":[100],"paradigm":[101],"upsample":[103],"low-resolution":[105],"feature":[106],"maps":[107],"higher":[109],"ones":[111],"instead":[112],"interpolation":[116],"processing,":[117],"thus":[118],"reserve":[120],"recover":[122],"more":[123],"fine-detailed":[124],"information.":[125],"Furthermore,":[126],"an":[127],"enhanced":[128],"loss":[129],"function":[130],"is":[131],"designed":[132],"impose":[134],"smoothness":[135],"prior":[136],"extraction.":[139],"Experiments":[140],"on":[141,194],"0.5":[147],"m":[148],"spatial":[149],"Google":[152],"Earth":[153],"covering":[154],"part":[156],"area":[157],"Zhengzhou-Xi'an":[159],"line":[162],"indicates":[163],"achieve":[167],"competitive":[168],"compared":[170],"other":[172],"state-of-the-art":[173],"FCN":[174],"based":[175],"study":[178],"demonstrates":[179],"application":[182],"using":[184],"high-resolution":[185],"technique":[188],"investigate":[190],"both":[195],"sides":[196],"lines":[199],"regularly,":[200],"order":[202],"detect":[204],"hazardous":[206],"areas.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}