{"id":"https://openalex.org/W3215356222","doi":"https://doi.org/10.3390/ijgi10120817","title":"PSOTSC: A Global-Oriented Trajectory Segmentation and Compression Algorithm Based on Swarm Intelligence","display_name":"PSOTSC: A Global-Oriented Trajectory Segmentation and Compression Algorithm Based on Swarm Intelligence","publication_year":2021,"publication_date":"2021-12-02","ids":{"openalex":"https://openalex.org/W3215356222","doi":"https://doi.org/10.3390/ijgi10120817","mag":"3215356222"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi10120817","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10120817","pdf_url":"https://www.mdpi.com/2220-9964/10/12/817/pdf?version=1638506373","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/2220-9964/10/12/817/pdf?version=1638506373","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072455912","display_name":"Zhihong Ouyang","orcid":"https://orcid.org/0000-0001-9009-0270"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Ouyang","raw_affiliation_strings":["Electronic Countermeasure Institute, National University of Defense Technology, Hefei 230037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Countermeasure Institute, National University of Defense Technology, Hefei 230037, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115444850","display_name":"Lei Xue","orcid":"https://orcid.org/0009-0002-7355-9668"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Xue","raw_affiliation_strings":["Electronic Countermeasure Institute, National University of Defense Technology, Hefei 230037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Countermeasure Institute, National University of Defense Technology, Hefei 230037, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637638","display_name":"Feng Ding","orcid":"https://orcid.org/0000-0002-2721-2025"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Ding","raw_affiliation_strings":["Electronic Countermeasure Institute, National University of Defense Technology, Hefei 230037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Countermeasure Institute, National University of Defense Technology, Hefei 230037, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100384525","display_name":"Da Li","orcid":"https://orcid.org/0000-0001-6822-3989"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Li","raw_affiliation_strings":["Electronic Countermeasure Institute, National University of Defense Technology, Hefei 230037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Countermeasure Institute, National University of Defense Technology, Hefei 230037, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5115444850"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1700,"currency":"CHF","value_usd":1893},"apc_paid":{"value":1700,"currency":"CHF","value_usd":1893},"fwci":0.6959,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69806395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"12","first_page":"817","last_page":"817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9929999709129333,"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":0.9929999709129333,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/segmentation","display_name":"Segmentation","score":0.7179237604141235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6757192611694336},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6643068194389343},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6200243234634399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5714637041091919},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5424162149429321},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5193135142326355},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44018229842185974},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4393070936203003},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4230087399482727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39294612407684326},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3611946702003479},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3437168300151825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3314968943595886},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.22274687886238098},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07915648818016052},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.0717984139919281}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7179237604141235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6757192611694336},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6643068194389343},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6200243234634399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5714637041091919},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5424162149429321},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5193135142326355},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44018229842185974},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4393070936203003},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4230087399482727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39294612407684326},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3611946702003479},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3437168300151825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3314968943595886},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.22274687886238098},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07915648818016052},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0717984139919281},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi10120817","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10120817","pdf_url":"https://www.mdpi.com/2220-9964/10/12/817/pdf?version=1638506373","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:7c1f89fb8f544d08ade6cd3fb1eec60a","is_oa":true,"landing_page_url":"https://doaj.org/article/7c1f89fb8f544d08ade6cd3fb1eec60a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 10, Iss 12, p 817 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/10/12/817/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi10120817","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; Volume 10; Issue 12; Pages: 817","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi10120817","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10120817","pdf_url":"https://www.mdpi.com/2220-9964/10/12/817/pdf?version=1638506373","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3215356222.pdf","grobid_xml":"https://content.openalex.org/works/W3215356222.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1489091441","https://openalex.org/W1600482701","https://openalex.org/W1915771221","https://openalex.org/W1975946664","https://openalex.org/W1981398125","https://openalex.org/W1981934656","https://openalex.org/W1994445384","https://openalex.org/W2003539563","https://openalex.org/W2033055840","https://openalex.org/W2033630480","https://openalex.org/W2041749499","https://openalex.org/W2046466133","https://openalex.org/W2086020653","https://openalex.org/W2100240200","https://openalex.org/W2108388069","https://openalex.org/W2109136363","https://openalex.org/W2110707662","https://openalex.org/W2123066915","https://openalex.org/W2131355461","https://openalex.org/W2133522940","https://openalex.org/W2138044257","https://openalex.org/W2165171393","https://openalex.org/W2165323161","https://openalex.org/W2231848087","https://openalex.org/W2347195884","https://openalex.org/W2386346454","https://openalex.org/W2573137292","https://openalex.org/W2607099977","https://openalex.org/W2612068780","https://openalex.org/W2624387057","https://openalex.org/W2783344919","https://openalex.org/W2783827472","https://openalex.org/W2798741797","https://openalex.org/W2809553093","https://openalex.org/W2809653307","https://openalex.org/W2821470430","https://openalex.org/W2877916729","https://openalex.org/W2883818427","https://openalex.org/W2886870094","https://openalex.org/W2890498216","https://openalex.org/W2890600481","https://openalex.org/W2901014878","https://openalex.org/W2905283274","https://openalex.org/W2909968474","https://openalex.org/W2943420531","https://openalex.org/W2969372976","https://openalex.org/W2980397461","https://openalex.org/W2981899207","https://openalex.org/W3005637319","https://openalex.org/W3019451457","https://openalex.org/W3024214388","https://openalex.org/W3034188862","https://openalex.org/W3089854235","https://openalex.org/W3118860522","https://openalex.org/W3135423326","https://openalex.org/W3154026786","https://openalex.org/W3157013907","https://openalex.org/W3161261561","https://openalex.org/W3173251868","https://openalex.org/W6645943304","https://openalex.org/W6648658313","https://openalex.org/W6682642761","https://openalex.org/W6704963129","https://openalex.org/W6997194332"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W2005437358","https://openalex.org/W2517104666","https://openalex.org/W1967061043","https://openalex.org/W2549936415","https://openalex.org/W1982826852","https://openalex.org/W2566648451","https://openalex.org/W2384989255","https://openalex.org/W3029188025","https://openalex.org/W3035251599"],"abstract_inverted_index":{"Linear":[0],"approximate":[1],"segmentation":[2,27,60,74,88,129,161],"and":[3,16,28,34,66,75,119,130,139,163],"data":[4,13,137],"compression":[5,29,64,76,164],"of":[6,20,46,63,68,98,106,128],"moving":[7],"target":[8,21,142],"spatio-temporal":[9],"trajectory":[10,73,87,144],"can":[11,42],"reduce":[12],"storage":[14],"pressure":[15],"improve":[17,125],"the":[18,44,47,51,86,104,126,146,152],"efficiency":[19,127],"motion":[22],"pattern":[23],"mining.":[24],"High":[25],"quality":[26],"need":[30],"to":[31,124],"accurately":[32],"select":[33],"store":[35],"as":[36,39],"few":[37],"points":[38,108],"possible":[40],"that":[41,149],"reflect":[43],"characteristics":[45],"original":[48],"trajectory,":[49],"while":[50],"existing":[52,153],"methods":[53],"still":[54],"have":[55],"room":[56],"for":[57],"improvement":[58],"in":[59,160],"accuracy,":[61],"reduction":[62],"rate":[65],"simplification":[67],"algorithm":[69,77],"parameter":[70],"setting.":[71],"A":[72],"based":[78],"on":[79,134],"particle":[80,113],"swarm":[81],"optimization":[82,96],"is":[83,90,122],"proposed.":[84],"First,":[85],"problem":[89,97],"transformed":[91],"into":[92],"a":[93,112,135,140],"global":[94],"intelligent":[95],"segmented":[99,107],"feature":[100],"points,":[101],"which":[102],"makes":[103],"selection":[105],"more":[109],"accurate;":[110],"then,":[111],"update":[114],"strategy":[115],"combining":[116],"neighborhood":[117],"adjustment":[118],"random":[120],"jump":[121],"established":[123],"compression.":[131],"Through":[132],"experiments":[133],"real":[136],"set":[138],"maneuvering":[141],"simulation":[143],"set,":[145],"results":[147],"show":[148],"compared":[150],"with":[151],"typical":[154],"methods,":[155],"this":[156],"method":[157],"has":[158],"advantages":[159],"accuracy":[162],"rate.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}