{"id":"https://openalex.org/W2954774596","doi":"https://doi.org/10.1109/access.2019.2921315","title":"Remote Sensing Target Tracking in UAV Aerial Video Based on Saliency Enhanced MDnet","display_name":"Remote Sensing Target Tracking in UAV Aerial Video Based on Saliency Enhanced MDnet","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2954774596","doi":"https://doi.org/10.1109/access.2019.2921315","mag":"2954774596"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2921315","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921315","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732335.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732335.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022557444","display_name":"Fukun Bi","orcid":"https://orcid.org/0000-0003-3501-9142"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fukun Bi","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070532199","display_name":"Mingyang Lei","orcid":"https://orcid.org/0000-0001-5176-7090"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Lei","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695265","display_name":"Yanping Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Wang","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024010764","display_name":"Dan Huang","orcid":"https://orcid.org/0000-0002-5128-0810"},"institutions":[{"id":"https://openalex.org/I4210145825","display_name":"China Academy Of Machinery Science & Technology (China)","ror":"https://ror.org/04gpxrn68","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Huang","raw_affiliation_strings":["China Research and Development Academy of Machinery Equipment, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Research and Development Academy of Machinery Equipment, Beijing, China","institution_ids":["https://openalex.org/I4210145825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022557444"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0217,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.80769231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"76731","last_page":"76740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.984000027179718,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9825999736785889,"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":0.8252948522567749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7541114091873169},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6257128715515137},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5116589665412903},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48647257685661316},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4703540802001953},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4654797911643982},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44310688972473145},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4315780997276306},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4215790331363678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36024877429008484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14572307467460632},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1396891474723816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8252948522567749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7541114091873169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6257128715515137},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5116589665412903},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48647257685661316},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4703540802001953},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4654797911643982},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44310688972473145},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4315780997276306},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4215790331363678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36024877429008484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14572307467460632},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1396891474723816},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2921315","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921315","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732335.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:22539b9aad714f468fb187d6dbae26cd","is_oa":true,"landing_page_url":"https://doaj.org/article/22539b9aad714f468fb187d6dbae26cd","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 76731-76740 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2921315","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921315","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732335.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1418139920","display_name":null,"funder_award_id":"4192021","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5797785011","display_name":null,"funder_award_id":"16010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7022816921","display_name":null,"funder_award_id":"61601006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7725674918","display_name":null,"funder_award_id":"61404130","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"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954774596.pdf","grobid_xml":"https://content.openalex.org/works/W2954774596.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2098941887","https://openalex.org/W2124211486","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2211629196","https://openalex.org/W2280226538","https://openalex.org/W2515584092","https://openalex.org/W2518876086","https://openalex.org/W2557641257","https://openalex.org/W2593414223","https://openalex.org/W2599547527","https://openalex.org/W2742165450","https://openalex.org/W2769273428","https://openalex.org/W2789322278","https://openalex.org/W2797812763","https://openalex.org/W2884585870","https://openalex.org/W2888456413","https://openalex.org/W2912979010","https://openalex.org/W2962824803","https://openalex.org/W2964099559","https://openalex.org/W6649598916","https://openalex.org/W6750996522"],"related_works":["https://openalex.org/W2926094217","https://openalex.org/W2542007731","https://openalex.org/W4285271403","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W4388689193","https://openalex.org/W2892070025","https://openalex.org/W29633852","https://openalex.org/W2091015105","https://openalex.org/W2985362983"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,63],"target":[2,36,64],"tracking":[3,45,55,65,127,156,180],"in":[4,17,28,34,47,83,151,179],"the":[5,21,35,43,68,84,89,110,117,132,135,141,152,177,196],"aerial":[6,10,23,70],"video":[7,24,71],"from":[8],"unmanned":[9],"vehicles":[11],"(UAV)":[12],"plays":[13],"a":[14,61,74,97,120,145,160],"key":[15],"role":[16],"public":[18,189],"security.":[19],"As":[20],"UAV":[22,69],"has":[25],"rapid":[26,146],"changes":[27],"scale":[29],"and":[30,38,42,57,116,190,203],"perspective,":[31],"few":[32],"pixels":[33],"region,":[37],"multiple":[39],"similar":[40],"disruptors,":[41],"main":[44],"methods":[46],"this":[48],"research":[49],"field":[50],"generally":[51],"have":[52],"relatively":[53],"low":[54],"performance":[56],"timeliness,":[58],"we":[59,87,158],"propose":[60],"remote":[62],"method":[66,198],"for":[67,108,154,167],"based":[72],"on":[73],"saliency":[75,121,133],"enhanced":[76],"multi-domain":[77],"convolutional":[78],"neural":[79],"network":[80,128],"(SEMD).":[81],"First,":[82],"pre-training":[85],"stage,":[86],"combine":[88],"least":[90],"squares":[91],"generative":[92],"adversarial":[93],"networks":[94],"(LSGANs)":[95],"with":[96,207],"multi-orientation":[98],"Gaussian":[99],"Pyramid":[100],"to":[101,112,130,165],"augment":[102],"typical":[103],"easily":[104],"confused":[105],"negative":[106,169],"samples":[107],"enhancing":[109],"capacity":[111],"distinguish":[113],"between":[114],"targets":[115],"background.":[118],"Then,":[119],"module":[122],"was":[123],"integrated":[124],"into":[125],"our":[126],"architecture":[129],"boost":[131,183],"of":[134,144,188],"feature":[136],"map,":[137],"which":[138],"can":[139,173,199],"improve":[140,176],"representation":[142],"power":[143],"dynamic":[147],"change":[148],"target.":[149],"Finally,":[150],"stage":[153],"generating":[155],"samples,":[157],"implemented":[159],"local":[161],"weight":[162],"allocation":[163],"model":[164],"screen":[166],"hard":[168,192],"samples.":[170],"This":[171],"approach":[172],"not":[174],"only":[175],"stability":[178],"but":[181],"also":[182],"efficiency.":[184],"The":[185],"comprehensive":[186],"evaluations":[187],"homemade":[191],"datasets":[193],"demonstrate":[194],"that":[195],"proposed":[197],"achieve":[200],"high":[201],"accuracy":[202],"efficiency":[204],"results":[205],"compared":[206],"state-of-the-art":[208],"methods.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
