{"id":"https://openalex.org/W2987105942","doi":"https://doi.org/10.1109/igarss.2019.8900105","title":"Extracting High-Volume Traffic Routes from AIS Spatial Distribution Maps","display_name":"Extracting High-Volume Traffic Routes from AIS Spatial Distribution Maps","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2987105942","doi":"https://doi.org/10.1109/igarss.2019.8900105","mag":"2987105942"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8900105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900105","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/A5058690922","display_name":"Trienko Grobler","orcid":"https://orcid.org/0000-0001-5274-0105"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"T. L. Grobler","raw_affiliation_strings":["Department of Mathematical Sciences, Computer Science Division, Stellenbosch University, Matieland, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Computer Science Division, Stellenbosch University, Matieland, South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031004986","display_name":"W. Kleynhans","orcid":"https://orcid.org/0000-0002-7046-7023"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"W. Kleynhans","raw_affiliation_strings":["Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3823,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53344375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"10031","last_page":"10034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9966999888420105,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.636909008026123},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.6152194738388062},{"id":"https://openalex.org/keywords/traffic-volume","display_name":"Traffic volume","score":0.5776652097702026},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4321577250957489},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.21586266160011292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1478620171546936},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12726563215255737},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07712322473526001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636909008026123},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6152194738388062},{"id":"https://openalex.org/C168443057","wikidata":"https://www.wikidata.org/wiki/Q7001223","display_name":"Traffic volume","level":2,"score":0.5776652097702026},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4321577250957489},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.21586266160011292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1478620171546936},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12726563215255737},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07712322473526001},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8900105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900105","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1523097228","https://openalex.org/W1561442812","https://openalex.org/W1995376165","https://openalex.org/W2015159529","https://openalex.org/W2126194848","https://openalex.org/W2133059825","https://openalex.org/W2744006307","https://openalex.org/W2749517885","https://openalex.org/W6631334792"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2009111155","https://openalex.org/W2366749544","https://openalex.org/W1974047397"],"abstract_inverted_index":{"In":[0],"this":[1,51],"paper":[2,113],"we":[3,100],"present":[4],"a":[5,73,83,107],"top-down":[6],"algorithm":[7,29,57,105,121],"which":[8],"is":[9],"capable":[10],"of":[11,67,86],"extracting":[12],"high-volume":[13],"traffic":[14,70],"routes":[15,71],"from":[16,35,50],"spatial":[17],"distribution":[18],"Automatic":[19],"Identification":[20],"System":[21],"(AIS)":[22],"maps":[23],"(i.e.":[24],"heat-maps).":[25],"We":[26,110],"tested":[27],"our":[28,104],"on":[30,117],"real":[31],"AIS":[32],"data":[33],"received":[34],"vessels":[36],"that":[37,54,72,92],"were":[38,93,101],"located":[39],"in":[40,106],"the":[41,55,68,87,112,119],"Aegean":[42],"sea":[43],"(during":[44],"January":[45],"2016).":[46],"The":[47,90],"results":[48],"obtained":[49],"test":[52],"indicate":[53],"proposed":[56,120],"shows":[58],"promise":[59],"as":[60],"it":[61],"was":[62],"able":[63,79],"to":[64,80,102],"detect":[65],"most":[66],"high":[69],"human":[74],"observer":[75],"would":[76],"have":[77],"been":[78],"identify":[81],"via":[82],"visual":[84],"inspection":[85],"same":[88],"data.":[89],"ones":[91],"not":[94],"detected":[95,98],"can":[96],"be":[97,123],"if":[99],"apply":[103],"recursive":[108],"manner.":[109],"finish":[111],"by":[114],"making":[115],"suggestions":[116],"how":[118],"could":[122],"improved":[124],"upon.":[125]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
