{"id":"https://openalex.org/W2979315537","doi":"https://doi.org/10.1109/tip.2019.2944097","title":"Needles in a Haystack: Tracking City-Scale Moving Vehicles From Continuously Moving Satellite","display_name":"Needles in a Haystack: Tracking City-Scale Moving Vehicles From Continuously Moving Satellite","publication_year":2019,"publication_date":"2019-10-07","ids":{"openalex":"https://openalex.org/W2979315537","doi":"https://doi.org/10.1109/tip.2019.2944097","mag":"2979315537","pmid":"https://pubmed.ncbi.nlm.nih.gov/31603780"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2944097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2944097","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5074967272","display_name":"Wei Ao","orcid":"https://orcid.org/0000-0003-1449-936X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Ao","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084959430","display_name":"Yanwei Fu","orcid":"https://orcid.org/0000-0002-6595-6893"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Fu","raw_affiliation_strings":["MoE Frontiers Center for Brain Science, Fudan University, Shanghai, China","School of Data Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Frontiers Center for Brain Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006905649","display_name":"Xiyue Hou","orcid":"https://orcid.org/0000-0003-3433-7026"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyue Hou","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071461704","display_name":"Feng Xu","orcid":"https://orcid.org/0000-0002-7015-1467"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xu","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074967272"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":3.0655,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.93483174,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"1944","last_page":"1957"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9850000143051147,"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":0.9850000143051147,"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/computer-science","display_name":"Computer science","score":0.823217511177063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6877967119216919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6508216857910156},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5855745077133179},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5528549551963806},{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.5356997847557068},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4930231273174286},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4781654477119446},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47640764713287354},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46608632802963257},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16550865769386292},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10711756348609924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.823217511177063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6877967119216919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6508216857910156},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5855745077133179},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5528549551963806},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.5356997847557068},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4930231273174286},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4781654477119446},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47640764713287354},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46608632802963257},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16550865769386292},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10711756348609924},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2944097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2944097","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:31603780","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31603780","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G1812488959","display_name":null,"funder_award_id":"61571134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7930060216","display_name":null,"funder_award_id":"61822107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W256589335","https://openalex.org/W1573546770","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1970728815","https://openalex.org/W1974318954","https://openalex.org/W1995803655","https://openalex.org/W2003920038","https://openalex.org/W2029137841","https://openalex.org/W2031489346","https://openalex.org/W2062425487","https://openalex.org/W2102625004","https://openalex.org/W2112899894","https://openalex.org/W2115352131","https://openalex.org/W2118877769","https://openalex.org/W2133665775","https://openalex.org/W2138544516","https://openalex.org/W2141822239","https://openalex.org/W2160337655","https://openalex.org/W2164500538","https://openalex.org/W2167613050","https://openalex.org/W2214352687","https://openalex.org/W2291627510","https://openalex.org/W2416156489","https://openalex.org/W2480460461","https://openalex.org/W2516719699","https://openalex.org/W2538361501","https://openalex.org/W2559324447","https://openalex.org/W2783266131","https://openalex.org/W2963051855","https://openalex.org/W2963851992","https://openalex.org/W3141200356","https://openalex.org/W6634202927","https://openalex.org/W6677548441","https://openalex.org/W6679214204","https://openalex.org/W6696672603"],"related_works":["https://openalex.org/W2369528593","https://openalex.org/W2385629811","https://openalex.org/W2638735979","https://openalex.org/W2111510641","https://openalex.org/W2386795888","https://openalex.org/W1968995436","https://openalex.org/W2382389562","https://openalex.org/W2054875742","https://openalex.org/W2120293966","https://openalex.org/W2142380919"],"abstract_inverted_index":{"In":[0,13,31,120],"recent":[1],"years,":[2],"the":[3,26,55,61,65,68,77,130,136,162,179,207,212,218,221],"satellite":[4,11,22,36,118,189],"videos":[5,23,190],"have":[6],"been":[7],"captured":[8],"by":[9,143],"moving":[10,39,74,102,115,183],"platforms.":[12],"contrast":[14],"to":[15,76,98,156,170,177,192],"consumers,":[16],"movies,":[17],"and":[18,45,64,72],"common":[19],"surveillance":[20],"videos,":[21,37],"can":[24,112],"record":[25],"snapshots":[27],"of":[28,35,48,67,79,89,174,181,214],"city-scale":[29],"scenes.":[30],"a":[32,86,108,124,149,172],"broad":[33],"fieldof-view":[34],"each":[38],"target":[40],"would":[41,223],"be":[42,224],"very":[43],"tiny":[44,101,182],"usually":[46],"composed":[47],"several":[49],"pixels":[50],"in":[51,60,117],"frames.":[52],"Even":[53],"worse,":[54],"noise":[56,132,141],"signals":[57],"also":[58,204],"exist":[59],"video":[62,69],"frames,":[63],"background":[66],"frames":[70],"subpixel-level":[71],"uneven":[73],"thanks":[75],"motion":[78],"satellites.":[80],"We":[81,134,187],"argue":[82],"that":[83,111],"it":[84],"is":[85,154,169,203],"novel":[87,109,125],"type":[88],"computer":[90],"vision":[91],"task":[92],"since":[93],"previous":[94],"technologies":[95],"are":[96],"unable":[97],"detect":[99],"such":[100],"vehicles":[103,116],"efficiently.":[104],"This":[105],"paper":[106],"proposes":[107],"framework":[110,216],"identify":[113],"small":[114],"videos.":[119],"particular,":[121],"we":[122],"offer":[123],"detecting":[126],"algorithm":[127,202],"based":[128,151],"on":[129],"local":[131],"modeling.":[133],"differentiate":[135],"potential":[137],"vehicle":[138,159,184],"targets":[139,160],"from":[140,161,226],"patterns":[142],"an":[144],"exponential":[145],"probability":[146],"distribution.":[147],"Subsequently,":[148],"multi-morphologicalcue":[150],"discrimination":[152],"strategy":[153],"designed":[155],"distinguish":[157],"correct":[158],"existing":[163],"noises":[164],"further.":[165],"Another":[166],"significant":[167],"contribution":[168],"introduce":[171],"series":[173],"evaluation":[175,198],"protocols":[176],"measure":[178],"performance":[180],"detection":[185],"systematically.":[186],"annotate":[188],"manually":[191],"test":[193],"our":[194,215],"algorithms":[195],"under":[196],"different":[197],"criterions.":[199],"The":[200],"proposed":[201],"compared":[205],"with":[206],"state-of-the-art":[208],"baselines,":[209],"which":[210],"demonstrates":[211],"advantages":[213],"over":[217],"benchmarks.":[219],"Besides,":[220],"dataset":[222],"downloaded":[225],"http://first.authour.github.com.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
