{"id":"https://openalex.org/W4377000533","doi":"https://doi.org/10.1109/lgrs.2023.3277017","title":"Shadow-Assisted Moving Target Tracking Based on Multidiscriminant Correlation Filters Network in Video SAR","display_name":"Shadow-Assisted Moving Target Tracking Based on Multidiscriminant Correlation Filters Network in Video SAR","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377000533","doi":"https://doi.org/10.1109/lgrs.2023.3277017"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3277017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3277017","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5064084523","display_name":"Hui Fang","orcid":"https://orcid.org/0000-0002-1902-8156"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Fang","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052210425","display_name":"Guisheng Liao","orcid":"https://orcid.org/0000-0002-5919-0713"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guisheng Liao","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712537","display_name":"Yongjun Liu","orcid":"https://orcid.org/0000-0003-1628-8865"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Liu","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076531189","display_name":"Cao Zeng","orcid":"https://orcid.org/0000-0001-5842-3629"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cao Zeng","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064084523"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.6141,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68388405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9951000213623047,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8296141624450684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7807399034500122},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7626247406005859},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.644395112991333},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5557882189750671},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5516442656517029},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4867112934589386},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4845349192619324},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4803977310657501},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.462492972612381},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.42083901166915894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3544435501098633},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.2248544692993164},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12493306398391724}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8296141624450684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807399034500122},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7626247406005859},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.644395112991333},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5557882189750671},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5516442656517029},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4867112934589386},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4845349192619324},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4803977310657501},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.462492972612381},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.42083901166915894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3544435501098633},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2248544692993164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12493306398391724},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3277017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3277017","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G5057869368","display_name":null,"funder_award_id":"62001352","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5683800782","display_name":null,"funder_award_id":"CLDL-20202412","funder_id":"https://openalex.org/F4320328844","funder_display_name":"China Electronics Technology Group Corporation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328844","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1955741794","https://openalex.org/W1958488613","https://openalex.org/W2518013266","https://openalex.org/W2557641257","https://openalex.org/W2565639579","https://openalex.org/W2583539406","https://openalex.org/W2605381261","https://openalex.org/W2765957155","https://openalex.org/W2806588494","https://openalex.org/W2870301986","https://openalex.org/W2890678738","https://openalex.org/W2901390138","https://openalex.org/W2962719749","https://openalex.org/W3022202378","https://openalex.org/W3088968830","https://openalex.org/W3191568623","https://openalex.org/W4214759957","https://openalex.org/W4312223655","https://openalex.org/W4312472480","https://openalex.org/W6736018854","https://openalex.org/W6752555765"],"related_works":["https://openalex.org/W1578117154","https://openalex.org/W2542256560","https://openalex.org/W1971151","https://openalex.org/W2534746541","https://openalex.org/W3177406559","https://openalex.org/W2379485644","https://openalex.org/W1482242411","https://openalex.org/W2098745069","https://openalex.org/W1971623867","https://openalex.org/W4323060498"],"abstract_inverted_index":{"Moving":[0],"targets":[1,23,47,99],"always":[2],"defocus":[3],"and":[4,29,70,134,142],"shift":[5],"outside":[6],"the":[7,19,32,36,43,49,66,74,88,138,169],"scene":[8],"in":[9,48],"video":[10,50],"synthetic":[11],"aperture":[12],"radar":[13],"(video":[14],"SAR)":[15],"image":[16,52],"sequences.":[17],"However,":[18],"shadows":[20,44],"of":[21,35,45,60,73,87],"moving":[22,37,46,98],"are":[24,164],"immune":[25],"to":[26,57,65,127,152,166],"these":[27,61],"issues":[28],"can":[30],"reveal":[31],"true":[33],"position":[34],"targets.":[38,62],"As":[39],"such,":[40],"by":[41],"tracking":[42,79,86,95,140,155],"SAR":[51],"sequence,":[53],"it":[54],"becomes":[55],"feasible":[56],"keep":[58],"track":[59],"Nevertheless,":[63],"due":[64],"small":[67],"pixel":[68],"size":[69],"time-varying":[71],"characteristics":[72],"target":[75],"shadow,":[76],"current":[77],"prevailing":[78],"methods":[80],"often":[81],"prove":[82],"insufficient":[83],"for":[84,97],"direct":[85],"shadow.":[89],"In":[90],"this":[91],"paper,":[92],"a":[93,113],"shadow-assisted":[94],"method":[96,171],"based":[100],"on":[101],"multilevel":[102],"discriminant":[103],"correlation":[104],"filters":[105],"network":[106],"(MDCFnet)":[107],"is":[108],"proposed.":[109],"Primarily,":[110],"we":[111,145],"designed":[112],"Reverse":[114],"Feature":[115],"Pyramid":[116],"Network":[117],"(RFPN)":[118],"that":[119,168],"integrates":[120],"multiple":[121,129,157],"high-level":[122],"features":[123,126,130],"into":[124],"low-level":[125],"obtain":[128],"with":[131],"higher":[132],"distinguishability":[133],"resolution,":[135],"thereby":[136],"enhancing":[137],"final":[139],"accuracy":[141],"precision.":[143],"Furthermore,":[144],"devised":[146],"Multi-level":[147],"Discriminative":[148],"Correlation":[149],"Filters":[150],"(MDCF)":[151],"perform":[153],"filtering":[154],"under":[156],"feature":[158],"maps.":[159],"Real":[160],"dataset":[161],"processing":[162],"results":[163],"provided":[165],"demonstrate":[167],"proposed":[170],"outperforms":[172],"other":[173],"state-of-the-art":[174],"methods.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
