{"id":"https://openalex.org/W4205217628","doi":"https://doi.org/10.3390/rs14030491","title":"Detection and Tracking of Weak Exoatmospheric Target with Elliptical Hough Transform","display_name":"Detection and Tracking of Weak Exoatmospheric Target with Elliptical Hough Transform","publication_year":2022,"publication_date":"2022-01-20","ids":{"openalex":"https://openalex.org/W4205217628","doi":"https://doi.org/10.3390/rs14030491"},"language":"en","primary_location":{"id":"doi:10.3390/rs14030491","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030491","pdf_url":"https://www.mdpi.com/2072-4292/14/3/491/pdf?version=1642693986","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/2072-4292/14/3/491/pdf?version=1642693986","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015537541","display_name":"Bin Rao","orcid":"https://orcid.org/0000-0001-9805-3028"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Rao","raw_affiliation_strings":["The School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101418489","display_name":"Yongkun Zhou","orcid":"https://orcid.org/0000-0002-9137-7457"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongkun Zhou","raw_affiliation_strings":["The School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058597788","display_name":"Yuanping Nie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanping Nie","raw_affiliation_strings":["The National Key Laboratory of Science and Technology on Information System Security, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"The National Key Laboratory of Science and Technology on Information System Security, Beijing 100101, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015537541"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.7043,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68490496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"14","issue":"3","first_page":"491","last_page":"491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9994999766349792,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9994999766349792,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9930999875068665,"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"}},{"id":"https://openalex.org/T10655","display_name":"GNSS positioning and interference","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.6910984516143799},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5487315654754639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5294820070266724},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5198838710784912},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4526687264442444},{"id":"https://openalex.org/keywords/orbit","display_name":"Orbit (dynamics)","score":0.44927820563316345},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.42253604531288147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35592925548553467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33320289850234985},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2755591869354248}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.6910984516143799},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5487315654754639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5294820070266724},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5198838710784912},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4526687264442444},{"id":"https://openalex.org/C196644772","wikidata":"https://www.wikidata.org/wiki/Q3884964","display_name":"Orbit (dynamics)","level":2,"score":0.44927820563316345},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.42253604531288147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35592925548553467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33320289850234985},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2755591869354248},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14030491","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030491","pdf_url":"https://www.mdpi.com/2072-4292/14/3/491/pdf?version=1642693986","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:a3c350f1d59a4bfbb41c301677a1b892","is_oa":true,"landing_page_url":"https://doaj.org/article/a3c350f1d59a4bfbb41c301677a1b892","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 3, p 491 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/3/491/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14030491","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 14; Issue 3; Pages: 491","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14030491","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030491","pdf_url":"https://www.mdpi.com/2072-4292/14/3/491/pdf?version=1642693986","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":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205217628.pdf","grobid_xml":"https://content.openalex.org/works/W4205217628.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1559048182","https://openalex.org/W1761646317","https://openalex.org/W1953654329","https://openalex.org/W1971008109","https://openalex.org/W1977804219","https://openalex.org/W1981978168","https://openalex.org/W1982814695","https://openalex.org/W1995376165","https://openalex.org/W1996151799","https://openalex.org/W2007367317","https://openalex.org/W2007508006","https://openalex.org/W2008472980","https://openalex.org/W2026914768","https://openalex.org/W2028974826","https://openalex.org/W2042301151","https://openalex.org/W2043834719","https://openalex.org/W2053355624","https://openalex.org/W2083229832","https://openalex.org/W2109932989","https://openalex.org/W2110724457","https://openalex.org/W2118702465","https://openalex.org/W2128583178","https://openalex.org/W2144752325","https://openalex.org/W2154693747","https://openalex.org/W2157263764","https://openalex.org/W2163164103","https://openalex.org/W2166252990","https://openalex.org/W2167327508","https://openalex.org/W2292341521","https://openalex.org/W2313926525","https://openalex.org/W2401477020","https://openalex.org/W2588926785","https://openalex.org/W2595507267","https://openalex.org/W2770376430","https://openalex.org/W2901785876","https://openalex.org/W2950682674","https://openalex.org/W2978105572","https://openalex.org/W3008383159","https://openalex.org/W3048658198","https://openalex.org/W3081693052","https://openalex.org/W3090582358","https://openalex.org/W3104629603","https://openalex.org/W3110813089","https://openalex.org/W3126344916","https://openalex.org/W3132328797","https://openalex.org/W3135759753","https://openalex.org/W6684075661"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2003466055","https://openalex.org/W2363834444","https://openalex.org/W2373557848","https://openalex.org/W2002488624","https://openalex.org/W2088970451","https://openalex.org/W4309225183","https://openalex.org/W2157008402","https://openalex.org/W4389893327"],"abstract_inverted_index":{"An":[0,102],"elliptical":[1,42,71],"Hough":[2,47],"transform":[3,48],"(EHT)":[4],"algorithm":[5,104],"is":[6,76,86,105,111,157,180],"proposed":[7],"in":[8,66,73,183,189,203],"the":[9,27,36,46,62,70,89,94,118,131,136,161,164,172,175,185,199,219],"framework":[10],"of":[11,19,82,120,125,163,198],"track-before-detect":[12],"(TBD)":[13],"for":[14],"joint":[15],"detection":[16,57,137],"and":[17,44,69,108,127,130,210],"tracking":[18,147],"weak":[20,212],"exoatmospheric":[21,37,213],"targets.":[22],"The":[23,59,123,196],"new":[24,200],"approach":[25],"exploits":[26],"fact":[28],"that":[29,88,178],"when":[30],"restricted":[31],"to":[32,116,159,171],"a":[33,99,144,150,190],"two-body":[34],"problem,":[35],"target":[38],"often":[39],"follows":[40],"an":[41],"orbit,":[43,174],"thus":[45],"integrated":[49],"with":[50,79],"orbital":[51],"geometry":[52],"information":[53],"would":[54],"have":[55],"better":[56],"performance.":[58],"relationship":[60],"between":[61],"original":[63],"radar":[64,146],"measurements":[65],"data":[67,90],"space":[68,75,96],"parameters":[72],"parameter":[74,95],"explicitly":[77],"derived":[78],"multiple":[80],"steps":[81],"coordinate":[83],"transformation.":[84],"It":[85],"found":[87],"points":[91],"mapping":[92],"into":[93,114],"essentially":[97],"represent":[98],"quartic":[100],"curve.":[101],"EHT-based":[103],"then":[106],"designed,":[107],"orbit":[109],"planarity":[110],"also":[112,216],"taken":[113],"account":[115],"reduce":[117],"effect":[119],"noise":[121],"accumulation.":[122],"influences":[124],"primary":[126],"secondary":[128],"thresholds":[129],"signal-to-noise":[132,192],"ratio":[133,193],"(SNR)":[134,194],"on":[135,153],"performance":[138],"are":[139],"compared":[140],"by":[141,221],"simulations.":[142],"Additionally,":[143],"real":[145,186],"dataset":[148],"from":[149],"scientific":[151],"satellite":[152,187],"28":[154],"May":[155],"2017":[156],"used":[158],"investigate":[160],"efficiency":[162],"method.":[165],"By":[166],"adding":[167],"some":[168],"imaginary":[169],"clutter":[170],"raw":[173],"results":[176],"indicate":[177],"it":[179,204],"very":[181],"effective":[182],"detecting":[184],"trajectory":[188,220],"low":[191],"environment.":[195],"advantage":[197],"method":[201],"lies":[202],"can":[205,217],"not":[206],"only":[207],"simultaneously":[208],"detect":[209],"track":[211],"targets":[214],"but":[215],"predict":[218],"using":[222],"these":[223],"available":[224],"detected":[225],"parameters.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}