{"id":"https://openalex.org/W4380481453","doi":"https://doi.org/10.2514/1.i011194","title":"Spatiotemporal Image-Based Flight Trajectory Clustering Model with Deep Convolutional Autoencoder Network","display_name":"Spatiotemporal Image-Based Flight Trajectory Clustering Model with Deep Convolutional Autoencoder Network","publication_year":2023,"publication_date":"2023-06-13","ids":{"openalex":"https://openalex.org/W4380481453","doi":"https://doi.org/10.2514/1.i011194"},"language":"en","primary_location":{"id":"doi:10.2514/1.i011194","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i011194","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","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/A5066764767","display_name":"Ye Liu","orcid":"https://orcid.org/0000-0001-5306-118X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Ye Liu","raw_affiliation_strings":["Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People\u2019s Republic of China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023114656","display_name":"Kam K.H. Ng","orcid":"https://orcid.org/0000-0002-4959-0502"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kam K. H. Ng","raw_affiliation_strings":["Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People\u2019s Republic of China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062168561","display_name":"Nana Chu","orcid":"https://orcid.org/0000-0002-4347-2804"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Nana Chu","raw_affiliation_strings":["Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People\u2019s Republic of China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079920214","display_name":"K. K. Hon","orcid":"https://orcid.org/0000-0002-4842-0843"},"institutions":[{"id":"https://openalex.org/I4210104672","display_name":"Hong Kong Observatory","ror":"https://ror.org/01bvxvq19","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Kwong Hon","raw_affiliation_strings":["Hong Kong Observatory, Tsim Sha Tsui, Kowloon, Hong Kong 999077, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Observatory, Tsim Sha Tsui, Kowloon, Hong Kong 999077, People\u2019s Republic of China","institution_ids":["https://openalex.org/I4210104672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080316854","display_name":"Xiaoge Zhang","orcid":"https://orcid.org/0000-0001-6831-3175"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaoge Zhang","raw_affiliation_strings":["Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People\u2019s Republic of China","Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People\u2019s Republic of China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People's Republic of China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066764767"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":7.5393,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.96440376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":"9","first_page":"575","last_page":"587"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T13282","display_name":"Automated Road and Building Extraction","score":0.9954000115394592,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.68545001745224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6737226843833923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.628696620464325},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6173941493034363},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5662321448326111},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5508432984352112},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5325535535812378},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.5225826501846313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47767195105552673},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4424772262573242},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43051111698150635},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27207669615745544}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.68545001745224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6737226843833923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.628696620464325},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6173941493034363},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5662321448326111},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5508432984352112},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5325535535812378},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.5225826501846313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47767195105552673},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4424772262573242},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43051111698150635},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27207669615745544},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2514/1.i011194","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i011194","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2561249505","display_name":null,"funder_award_id":"RJ8N","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"},{"id":"https://openalex.org/G8430888673","display_name":null,"funder_award_id":"RJ78","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"}],"funders":[{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1887445066","https://openalex.org/W1892149550","https://openalex.org/W1994882049","https://openalex.org/W2099046646","https://openalex.org/W2105278861","https://openalex.org/W2119605622","https://openalex.org/W2122538988","https://openalex.org/W2170282673","https://openalex.org/W2177274842","https://openalex.org/W2268212270","https://openalex.org/W2345685777","https://openalex.org/W2746985627","https://openalex.org/W2766471430","https://openalex.org/W2766761849","https://openalex.org/W2794031013","https://openalex.org/W2794764981","https://openalex.org/W2810899051","https://openalex.org/W2887037553","https://openalex.org/W2887125087","https://openalex.org/W2900029483","https://openalex.org/W2907560053","https://openalex.org/W2922413820","https://openalex.org/W2939251941","https://openalex.org/W2967038231","https://openalex.org/W2976390310","https://openalex.org/W2994760564","https://openalex.org/W2997960816","https://openalex.org/W3023278784","https://openalex.org/W3032327046","https://openalex.org/W3108094692","https://openalex.org/W3118663531","https://openalex.org/W3118860522","https://openalex.org/W3133495528","https://openalex.org/W3171103437","https://openalex.org/W3187562181","https://openalex.org/W3191490457","https://openalex.org/W3198180013","https://openalex.org/W3199463048","https://openalex.org/W3204620932","https://openalex.org/W3209453699","https://openalex.org/W4212983099","https://openalex.org/W4280587192","https://openalex.org/W4281798953","https://openalex.org/W4288032478"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W4310873165","https://openalex.org/W2038514069","https://openalex.org/W1967233468"],"abstract_inverted_index":{"Recent":[0],"studies":[1,28],"in":[2,124],"four-dimensional":[3],"flight":[4,13,43,74,91,121,128],"trajectories":[5,14,32,44],"attempted":[6,29],"to":[7,30,45],"identify":[8],"the":[9,42,86,125,136,148,159],"impacts":[10],"of":[11,85,117,150],"various":[12],"and":[15,23,60,76,94,109,154,165,171,185],"maneuver":[16],"parameters":[17],"on":[18,34,66],"air":[19],"traffic":[20],"management":[21],"efficiency":[22],"aviation":[24],"safety.":[25],"The":[26,70,131],"previous":[27],"cluster":[31],"based":[33,65],"spatial":[35],"scales.":[36],"However,":[37],"these":[38],"might":[39],"require":[40],"converting":[41],"equal":[46],"lengths":[47],"for":[48,143,167,180],"sequence-based":[49],"clustering.":[50],"This":[51],"paper":[52],"proposes":[53],"a":[54,115],"novel":[55],"trajectory":[56,92,122,138,144,168,182],"three-channel":[57],"image":[58,87,106,110],"representation":[59,93,139],"Gaussian":[61],"mixture":[62],"model":[63,161],"clustering":[64,95],"several":[67],"image-processing":[68,155],"methodologies.":[69],"aircraft\u2019s":[71],"latitude,":[72],"longitude,":[73],"level,":[75],"ground":[77],"speed":[78],"are":[79],"represented":[80],"as":[81,147],"corresponding":[82],"pixel":[83],"information":[84,129],"followed":[88],"by":[89],"image-based":[90,137],"methods":[96],"(including":[97],"deep":[98],"convolutional":[99,151],"autoencoder":[100],"(DCAE),":[101],"principal":[102],"component":[103],"analysis":[104,173,184],"(PCA)":[105],"dimensionality":[107],"reduction,":[108],"feature":[111,169],"points":[112],"extraction)":[113],"using":[114],"half-year":[116],"automatic":[118],"dependent":[119],"surveillance-broadcast":[120],"data":[123],"Hong":[126],"Kong":[127],"region.":[130],"computational":[132],"results":[133],"indicate":[134],"that":[135],"produces":[140],"more":[141],"insights":[142],"processing,":[145],"such":[146],"application":[149],"neural":[152],"networks":[153],"algorithms.":[156],"In":[157],"addition,":[158],"DCAE":[160],"has":[162],"better":[163],"performance":[164],"robustness":[166],"extraction":[170],"similarity":[172,183],"than":[174],"PCA,":[175],"which":[176],"will":[177],"provide":[178],"ideas":[179],"multiparameter":[181],"prediction.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}