{"id":"https://openalex.org/W4294643336","doi":"https://doi.org/10.1109/tgrs.2022.3204105","title":"Object Tracking in Satellite Videos: Correlation Particle Filter Tracking Method With Motion Estimation by Kalman Filter","display_name":"Object Tracking in Satellite Videos: Correlation Particle Filter Tracking Method With Motion Estimation by Kalman Filter","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294643336","doi":"https://doi.org/10.1109/tgrs.2022.3204105"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3204105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3204105","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","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/A5057387558","display_name":"Yangfan Li","orcid":"https://orcid.org/0000-0002-8965-7134"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangfan Li","raw_affiliation_strings":["National Space Science Center, Chinese Academy of Sciences, Key Laboratory of Electronics and Information Technology for Space Systems, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8965-7134","affiliations":[{"raw_affiliation_string":"National Space Science Center, Chinese Academy of Sciences, Key Laboratory of Electronics and Information Technology for Space Systems, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002071690","display_name":"Chunjiang Bian","orcid":"https://orcid.org/0000-0003-4867-0137"},"institutions":[{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjiang Bian","raw_affiliation_strings":["Chinese Academy of Science (CAS), Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science (CAS), Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Beijing, China","institution_ids":["https://openalex.org/I4210115570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101678716","display_name":"Hongzhen Chen","orcid":"https://orcid.org/0000-0002-0181-9742"},"institutions":[{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhen Chen","raw_affiliation_strings":["Chinese Academy of Science (CAS), Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0181-9742","affiliations":[{"raw_affiliation_string":"Chinese Academy of Science (CAS), Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Beijing, China","institution_ids":["https://openalex.org/I4210115570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3271,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.93931652,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9860000014305115,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9817000031471252,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8097133636474609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8015133142471313},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.690777063369751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6823749542236328},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6045701503753662},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5840131044387817},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5829617977142334},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5266254544258118},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4886985123157501},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.461107075214386},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4480460584163666},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.19830667972564697},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1733373999595642}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8097133636474609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8015133142471313},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.690777063369751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823749542236328},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6045701503753662},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5840131044387817},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5829617977142334},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5266254544258118},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4886985123157501},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.461107075214386},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4480460584163666},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.19830667972564697},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1733373999595642},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3204105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3204105","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2044986361","https://openalex.org/W2110744759","https://openalex.org/W2131393045","https://openalex.org/W2139047213","https://openalex.org/W2140553492","https://openalex.org/W2154889144","https://openalex.org/W2161406034","https://openalex.org/W2280226538","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2520477759","https://openalex.org/W2557641257","https://openalex.org/W2599547527","https://openalex.org/W2771877920","https://openalex.org/W2778130973","https://openalex.org/W2784746431","https://openalex.org/W2799058067","https://openalex.org/W2950104426","https://openalex.org/W2955983623","https://openalex.org/W2962824803","https://openalex.org/W2963534981","https://openalex.org/W2964069521","https://openalex.org/W2964111344","https://openalex.org/W2966759264","https://openalex.org/W2969454712","https://openalex.org/W2982221123","https://openalex.org/W2987346479","https://openalex.org/W2998434318","https://openalex.org/W3001584168","https://openalex.org/W3005844601","https://openalex.org/W3013561250","https://openalex.org/W3035453691","https://openalex.org/W3035466700","https://openalex.org/W3121552860","https://openalex.org/W3127571973","https://openalex.org/W3183501258","https://openalex.org/W3200540539","https://openalex.org/W3214586131","https://openalex.org/W4206437316","https://openalex.org/W4214759957","https://openalex.org/W6677907805","https://openalex.org/W6678122694"],"related_works":["https://openalex.org/W1497101000","https://openalex.org/W2079531124","https://openalex.org/W2013820100","https://openalex.org/W2274330372","https://openalex.org/W2102101492","https://openalex.org/W2054021310","https://openalex.org/W2214805552","https://openalex.org/W2000407566","https://openalex.org/W2374913212","https://openalex.org/W1982860303"],"abstract_inverted_index":{"Object":[0],"tracking":[1,30,51,108],"in":[2,31],"satellite":[3,32],"videos":[4],"faces":[5],"various":[6],"challenges":[7],"such":[8],"as":[9],"target":[10,12,85],"occlusion,":[11],"rotation,":[13],"and":[14,45,67,74,98],"background":[15,96],"clutter.":[16],"This":[17],"study":[18],"proposes":[19],"a":[20],"correlation":[21,55],"particle":[22],"filter":[23],"algorithm":[24,109],"with":[25,49],"motion":[26,68],"estimation":[27,69],"for":[28],"object":[29],"videos.":[33],"The":[34,101],"tracker,":[35],"called":[36],"CPKF,":[37],"combines":[38],"the":[39,42,57,106],"strengths":[40],"of":[41,89],"correlation,":[43],"particle,":[44],"Kalman":[46],"filters.":[47],"Compared":[48],"existing":[50],"methods":[52],"based":[53],"on":[54],"filters,":[56],"proposed":[58,107],"tracker":[59],"has":[60],"three":[61],"major":[62],"advantages:":[63],"(1)":[64],"Particle":[65],"sampling,":[66],"build":[70],"robustness":[71],"against":[72],"partial":[73],"complete":[75],"occlusion.":[76],"(2)":[77],"Color":[78],"histogram":[79],"model":[80],"makes":[81],"it":[82],"robust":[83],"to":[84],"rotation.":[86],"(3)":[87],"Fusion":[88],"multiple":[90],"feature":[91],"response":[92],"maps":[93],"effectively":[94],"handle":[95],"clutter":[97],"low":[99],"contrast.":[100],"experimental":[102],"results":[103],"demonstrate":[104],"that":[105],"performs":[110],"better":[111],"than":[112],"state-of-the-art":[113],"methods.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":9}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}