{"id":"https://openalex.org/W3045958760","doi":"https://doi.org/10.3390/rs12152390","title":"A Method to Detect and Track Moving Airplanes from a Satellite Video","display_name":"A Method to Detect and Track Moving Airplanes from a Satellite Video","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3045958760","doi":"https://doi.org/10.3390/rs12152390","mag":"3045958760"},"language":"en","primary_location":{"id":"doi:10.3390/rs12152390","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12152390","pdf_url":"https://www.mdpi.com/2072-4292/12/15/2390/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/15/2390/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101694823","display_name":"Fan Shi","orcid":"https://orcid.org/0000-0002-1871-0006"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Shi","raw_affiliation_strings":["Geospatial Information Sciences, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA"],"raw_orcid":"https://orcid.org/0000-0002-1871-0006","affiliations":[{"raw_affiliation_string":"Geospatial Information Sciences, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032638350","display_name":"Fang Qiu","orcid":"https://orcid.org/0000-0003-3999-1174"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fang Qiu","raw_affiliation_strings":["Geospatial Information Sciences, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA"],"raw_orcid":"https://orcid.org/0000-0003-3999-1174","affiliations":[{"raw_affiliation_string":"Geospatial Information Sciences, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041791412","display_name":"Xiao Li","orcid":"https://orcid.org/0000-0001-8879-7322"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Li","raw_affiliation_strings":["Geospatial Information Sciences, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA"],"raw_orcid":"https://orcid.org/0000-0001-8879-7322","affiliations":[{"raw_affiliation_string":"Geospatial Information Sciences, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112114877","display_name":"Yunwei Tang","orcid":null},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunwei Tang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0002-2257-8749","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039088967","display_name":"Ruofei Zhong","orcid":"https://orcid.org/0000-0002-6064-4479"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruofei Zhong","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109619150","display_name":"Cankun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cankun Yang","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032638350"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.0542,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79431789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"15","first_page":"2390","last_page":"2390"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9932000041007996,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7398488521575928},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7351382970809937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7283443212509155},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5520390868186951},{"id":"https://openalex.org/keywords/airplane","display_name":"Airplane","score":0.44428128004074097},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.283716082572937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398488521575928},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7351382970809937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7283443212509155},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5520390868186951},{"id":"https://openalex.org/C2781407631","wikidata":"https://www.wikidata.org/wiki/Q197","display_name":"Airplane","level":2,"score":0.44428128004074097},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.283716082572937},{"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/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/rs12152390","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12152390","pdf_url":"https://www.mdpi.com/2072-4292/12/15/2390/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:794b6f35eefd4b0bba3832fa67800950","is_oa":true,"landing_page_url":"https://doaj.org/article/794b6f35eefd4b0bba3832fa67800950","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":"Remote Sensing, Vol 12, Iss 15, p 2390 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/15/2390/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12152390","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":"Remote Sensing; Volume 12; Issue 15; Pages: 2390","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12152390","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12152390","pdf_url":"https://www.mdpi.com/2072-4292/12/15/2390/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1721110539","display_name":"CNH-L: People, Place, and Payments in Complex Human-Environment Systems","funder_award_id":"1826839","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8545232049","display_name":null,"funder_award_id":"BCS-1826839","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045958760.pdf","grobid_xml":"https://content.openalex.org/works/W3045958760.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1966540157","https://openalex.org/W1985462856","https://openalex.org/W2012015807","https://openalex.org/W2054733829","https://openalex.org/W2060958858","https://openalex.org/W2066757459","https://openalex.org/W2069654534","https://openalex.org/W2102625004","https://openalex.org/W2115352131","https://openalex.org/W2115739848","https://openalex.org/W2120969424","https://openalex.org/W2125587358","https://openalex.org/W2127070222","https://openalex.org/W2130276169","https://openalex.org/W2142431032","https://openalex.org/W2148290050","https://openalex.org/W2151103935","https://openalex.org/W2158604775","https://openalex.org/W2159498975","https://openalex.org/W2184781617","https://openalex.org/W2434003202","https://openalex.org/W2522520073","https://openalex.org/W2532535446","https://openalex.org/W2547812480","https://openalex.org/W2548252017","https://openalex.org/W2548541118","https://openalex.org/W2564998703","https://openalex.org/W2606788270","https://openalex.org/W2613324285","https://openalex.org/W2624909539","https://openalex.org/W2781339404","https://openalex.org/W2795210153","https://openalex.org/W2943595669","https://openalex.org/W2950104426","https://openalex.org/W2963983744","https://openalex.org/W2965194519","https://openalex.org/W2971574275","https://openalex.org/W2981506617","https://openalex.org/W3005568369","https://openalex.org/W3105214483","https://openalex.org/W6608647691","https://openalex.org/W6678172595"],"related_works":["https://openalex.org/W2345915074","https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W2772917594","https://openalex.org/W3116076068","https://openalex.org/W2229312674"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"satellites":[3],"capable":[4],"of":[5,26,169,201,237,258,269],"capturing":[6],"videos":[7,18],"have":[8,48],"been":[9],"developed":[10],"and":[11,33,42,56,106,136,175,184,239,272],"launched":[12],"to":[13,67,196],"provide":[14],"high":[15,173],"definition":[16],"satellite":[17,214],"that":[19,188],"enable":[20],"applications":[21],"far":[22],"beyond":[23],"the":[24,39,69,73,144,149,193,198,202,205,228,233,259,264,270],"capabilities":[25],"remotely":[27],"sensed":[28],"imagery.":[29],"Moving":[30],"object":[31,35],"detection":[32,230],"moving":[34,61,125,151,218],"tracking":[36,108,265],"are":[37,153],"among":[38],"most":[40],"essential":[41],"challenging":[43],"tasks,":[44],"but":[45],"existing":[46],"studies":[47],"mainly":[49],"focused":[50],"on":[51,212,244,263],"vehicles.":[52],"To":[53,110],"accurately":[54],"detect":[55],"then":[57],"track":[58,255],"more":[59],"complex":[60,100],"objects,":[62],"specifically":[63],"airplanes,":[64],"we":[65,114],"need":[66],"address":[68],"challenges":[70],"posed":[71],"by":[72,155],"new":[74,199],"data.":[75],"First,":[76],"slow-moving":[77],"airplanes":[78,97,152,271],"may":[79,92,98],"cause":[80,93],"foreground":[81,137,145],"aperture":[82,146],"problem":[83],"during":[84],"detection.":[85,95,127],"Second,":[86],"various":[87],"disturbances,":[88],"especially":[89],"parallax":[90,245],"motion,":[91],"false":[94],"Third,":[96],"perform":[99],"motions,":[101],"which":[102,139],"requires":[103],"a":[104,131,156,181,213],"rotation-invariant":[105,183],"scale-invariant":[107,185],"algorithm.":[109,165],"tackle":[111],"these":[112],"difficulties,":[113],"first":[115],"develop":[116],"an":[117,170],"Improved":[118],"Gaussian-based":[119],"Background":[120],"Subtractor":[121],"(IPGBBS)":[122],"algorithm":[123,129,226,252],"for":[124,134],"airplane":[126,171,203],"This":[128],"adopts":[130],"novel":[132],"strategy":[133],"background":[135],"adaptation,":[138],"can":[140,189],"effectively":[141],"deal":[142],"with":[143,216,221,232],"problem.":[147],"Then,":[148],"detected":[150],"tracked":[154],"Primary":[157],"Scale":[158],"Invariant":[159],"Feature":[160],"Transform":[161],"(P-SIFT)":[162],"keypoint":[163,168,250],"matching":[164,194,251],"The":[166,208,248],"P-SIFT":[167,249],"exhibits":[172],"distinctiveness":[174],"repeatability.":[176],"More":[177],"importantly,":[178],"it":[179],"provides":[180],"highly":[182],"feature":[186],"vector":[187],"be":[190],"used":[191],"in":[192,204],"process":[195],"determine":[197],"locations":[200],"frame":[206],"sequence.":[207],"method":[209],"was":[210],"tested":[211],"video":[215],"eight":[217,260],"airplanes.":[219,261],"Compared":[220],"state-of-the-art":[222],"algorithms,":[223],"our":[224],"IPGBBS":[225],"achieved":[227],"best":[229],"accuracy":[231],"highest":[234],"F1":[235],"score":[236],"0.94":[238],"also":[240,277],"demonstrated":[241],"its":[242],"superiority":[243],"motion":[246],"suppression.":[247],"could":[253],"successfully":[254],"seven":[256],"out":[257],"Based":[262],"results,":[266],"movement":[267],"trajectories":[268],"their":[273],"dynamic":[274],"properties":[275],"were":[276],"estimated.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2020-08-03T00:00:00"}