{"id":"https://openalex.org/W4308798999","doi":"https://doi.org/10.1080/13658816.2022.2143505","title":"A Siamese neural network for learning the similarity metrics of linear features","display_name":"A Siamese neural network for learning the similarity metrics of linear features","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4308798999","doi":"https://doi.org/10.1080/13658816.2022.2143505"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2022.2143505","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2022.2143505","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},"type":"article","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/A5059159299","display_name":"P. Li","orcid":"https://orcid.org/0000-0002-4679-8359"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengbo Li","raw_affiliation_strings":["Faculty of Geomatics, Lanzhou Jiaotong University","Gansu Provincial Engineering Laboratory for National Geographic State Monitoring","National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring","Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, China","Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China","National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geomatics, Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"Gansu Provincial Engineering Laboratory for National Geographic State Monitoring","institution_ids":[]},{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring","institution_ids":[]},{"raw_affiliation_string":"Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, China","institution_ids":[]},{"raw_affiliation_string":"Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062867551","display_name":"Haowen Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haowen Yan","raw_affiliation_strings":["Faculty of Geomatics, Lanzhou Jiaotong University","Gansu Provincial Engineering Laboratory for National Geographic State Monitoring","National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring","Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China","National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou, China","Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geomatics, Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"Gansu Provincial Engineering Laboratory for National Geographic State Monitoring","institution_ids":[]},{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring","institution_ids":[]},{"raw_affiliation_string":"Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou, China","institution_ids":[]},{"raw_affiliation_string":"Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004367379","display_name":"Xiaomin Lu","orcid":"https://orcid.org/0000-0002-6206-251X"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Lu","raw_affiliation_strings":["Faculty of Geomatics, Lanzhou Jiaotong University","Gansu Provincial Engineering Laboratory for National Geographic State Monitoring","National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring","Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China","Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, China","National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geomatics, Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"Gansu Provincial Engineering Laboratory for National Geographic State Monitoring","institution_ids":[]},{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring","institution_ids":[]},{"raw_affiliation_string":"Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, China","institution_ids":[]},{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062867551"],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":null,"apc_paid":null,"fwci":2.644,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89364614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"37","issue":"3","first_page":"684","last_page":"711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9957000017166138,"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":0.9957000017166138,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.991100013256073,"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"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6920242309570312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.631585419178009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6215837597846985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5513231754302979},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5228317379951477},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5082216262817383},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47349247336387634},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.46055400371551514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44973862171173096},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4481903910636902},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4316237270832062},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4299386143684387},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4173920750617981},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33481264114379883},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12302404642105103}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6920242309570312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.631585419178009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6215837597846985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5513231754302979},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5228317379951477},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5082216262817383},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47349247336387634},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.46055400371551514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44973862171173096},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4481903910636902},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4316237270832062},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4299386143684387},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4173920750617981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33481264114379883},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12302404642105103},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2022.2143505","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2022.2143505","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1969536374","https://openalex.org/W1981934656","https://openalex.org/W2005719654","https://openalex.org/W2021354639","https://openalex.org/W2039810899","https://openalex.org/W2057175746","https://openalex.org/W2062280721","https://openalex.org/W2071867759","https://openalex.org/W2076173533","https://openalex.org/W2078356457","https://openalex.org/W2096733369","https://openalex.org/W2099789128","https://openalex.org/W2124299914","https://openalex.org/W2127117646","https://openalex.org/W2138621090","https://openalex.org/W2157364932","https://openalex.org/W2171590421","https://openalex.org/W2194775991","https://openalex.org/W2263615407","https://openalex.org/W2414757501","https://openalex.org/W2508865106","https://openalex.org/W2510940142","https://openalex.org/W2540293503","https://openalex.org/W2563453975","https://openalex.org/W2601176932","https://openalex.org/W2883690581","https://openalex.org/W2913059114","https://openalex.org/W2919115771","https://openalex.org/W2920964209","https://openalex.org/W2948919246","https://openalex.org/W2969656782","https://openalex.org/W3028003245","https://openalex.org/W3034407514","https://openalex.org/W3035524453","https://openalex.org/W3046442394","https://openalex.org/W3091905774","https://openalex.org/W3201423827","https://openalex.org/W3205403179","https://openalex.org/W4234113522","https://openalex.org/W4234552385"],"related_works":["https://openalex.org/W2397288865","https://openalex.org/W2368524271","https://openalex.org/W2576709312","https://openalex.org/W2023657818","https://openalex.org/W2019538911","https://openalex.org/W1996805379","https://openalex.org/W4234584818","https://openalex.org/W2353241519","https://openalex.org/W4231537015","https://openalex.org/W2137791473"],"abstract_inverted_index":{"Measuring":[0],"similarity":[1,35,62,141,157],"is":[2],"essential":[3],"for":[4],"classifying,":[5],"clustering,":[6],"retrieving,":[7,161],"and":[8,26,77,121,150,163,166,171,185],"matching":[9],"linear":[10,19,47,66,85,148],"features":[11,20,149],"in":[12,34,126],"geospatial":[13],"data.":[14,196],"However,":[15],"the":[16,22,29,44,109,113,127,131,135,140,155,177],"complexity":[17],"of":[18,24,28,31,46,83],"challenges":[21],"formalization":[23],"characteristics":[25,76],"determination":[27],"weight":[30],"each":[32],"characteristic":[33],"measurements.":[36],"Additionally,":[37],"traditional":[38,174],"methods":[39],"have":[40],"limited":[41],"adaptability":[42,79],"to":[43,71,80,97,138],"variety":[45],"features.":[48,67,86],"To":[49],"address":[50],"these":[51],"challenges,":[52],"this":[53],"study":[54],"proposes":[55],"a":[56,90,106],"metric":[57,181],"learning":[58,110],"model":[59,133,178],"that":[60,93,154],"learns":[61],"metrics":[63,158],"directly":[64],"from":[65],"The":[68],"model\u2019s":[69],"ability":[70],"learn":[72],"allows":[73],"no":[74],"pre-determined":[75],"supports":[78],"different":[81],"levels":[82],"complex":[84],"LineStringNet":[87],"functions":[88],"as":[89],"feature":[91,103],"encoder":[92],"maps":[94],"vector":[95],"lines":[96,165],"embeddings":[98],"without":[99],"format":[100],"conversion":[101],"or":[102,193],"engineering.":[104],"With":[105],"Siamese":[107],"architecture,":[108],"process":[111],"minimizes":[112],"contrastive":[114],"loss,":[115],"which":[116],"brings":[117],"similar":[118],"pairs":[119,124],"closer":[120],"pushes":[122],"dissimilar":[123],"away":[125],"embedding":[128],"space.":[129],"Finally,":[130],"proposed":[132],"calculates":[134],"Euclidean":[136],"distance":[137],"measure":[139],"between":[142],"learned":[143,156],"embeddings.":[144],"Experiments":[145],"on":[146],"common":[147],"building":[151],"shapes":[152],"indicated":[153],"effectively":[159],"supported":[160],"matching,":[162],"classifying":[164],"polygons,":[167],"with":[168],"higher":[169],"precision":[170],"accuracy":[172],"than":[173],"measures.":[175],"Furthermore,":[176],"ensures":[179],"desired":[180],"properties,":[182],"including":[183],"rotation":[184],"starting":[186],"point":[187],"invariances,":[188],"by":[189],"adjusting":[190],"labeling":[191],"strategies":[192],"preprocessing":[194],"input":[195]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}