{"id":"https://openalex.org/W4390755799","doi":"https://doi.org/10.1109/tgrs.2024.3353179","title":"Online Background Discriminative Learning for Satellite Video Object Tracking","display_name":"Online Background Discriminative Learning for Satellite Video Object Tracking","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390755799","doi":"https://doi.org/10.1109/tgrs.2024.3353179"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3353179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3353179","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS) and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS) and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048417042","display_name":"Xueting Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueting Fang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS) and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS) and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":null,"display_name":"Meng Shu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Shu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS) and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS) and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2978,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78487353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9853000044822693,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.825506329536438},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.8131588697433472},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.7330282330513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7215777039527893},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7047434449195862},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.567315399646759},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4701633155345917},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4167101979255676},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3403663635253906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.25102680921554565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.825506329536438},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.8131588697433472},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.7330282330513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7215777039527893},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7047434449195862},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.567315399646759},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4701633155345917},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4167101979255676},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3403663635253906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25102680921554565},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3353179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3353179","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1223461643","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u5f71\u50cf\u6df1\u5ea6\u975e\u7ebf\u6027\u4e9a\u50cf\u5143\u5236\u56fe\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42071350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4093505136","display_name":null,"funder_award_id":"42325105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5031566633","display_name":null,"funder_award_id":"2022YFB3903404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320326938","display_name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing","ror":"https://ror.org/02bpap860"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1964846093","https://openalex.org/W1994616650","https://openalex.org/W2044986361","https://openalex.org/W2089961441","https://openalex.org/W2108598243","https://openalex.org/W2154889144","https://openalex.org/W2161969291","https://openalex.org/W2194775991","https://openalex.org/W2215880066","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2548879274","https://openalex.org/W2557641257","https://openalex.org/W2592463526","https://openalex.org/W2613324285","https://openalex.org/W2618530766","https://openalex.org/W2778130973","https://openalex.org/W2799058067","https://openalex.org/W2886910176","https://openalex.org/W2897292872","https://openalex.org/W2962836156","https://openalex.org/W2963227409","https://openalex.org/W2963534981","https://openalex.org/W2964111344","https://openalex.org/W2964423614","https://openalex.org/W2964433070","https://openalex.org/W2965194519","https://openalex.org/W2966759264","https://openalex.org/W2967087686","https://openalex.org/W2982221123","https://openalex.org/W2983161600","https://openalex.org/W2998237070","https://openalex.org/W3001584168","https://openalex.org/W3013561250","https://openalex.org/W3014641072","https://openalex.org/W3035453691","https://openalex.org/W3035511673","https://openalex.org/W3127571973","https://openalex.org/W3162457465","https://openalex.org/W3167762749","https://openalex.org/W3204540098","https://openalex.org/W3214586131","https://openalex.org/W4205396261","https://openalex.org/W4212841652","https://openalex.org/W4214759957","https://openalex.org/W4214872590","https://openalex.org/W4289203698","https://openalex.org/W4312287126","https://openalex.org/W4312651496","https://openalex.org/W4312735552","https://openalex.org/W4312751983","https://openalex.org/W4312771325","https://openalex.org/W4312805142","https://openalex.org/W4386066081","https://openalex.org/W4386066394","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6739901393","https://openalex.org/W6766978945","https://openalex.org/W6795704626"],"related_works":["https://openalex.org/W2949096641","https://openalex.org/W4327500857","https://openalex.org/W2970686063","https://openalex.org/W2965994363","https://openalex.org/W4311223090","https://openalex.org/W4320729701","https://openalex.org/W1689909837","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W4205729548"],"abstract_inverted_index":{"Satellite":[0],"video":[1,10,23,113,209,219],"object":[2,57,220],"tracking":[3,25,58,153,162,221],"is":[4],"a":[5,68,146,178],"critical":[6],"task":[7],"in":[8,21,140,171,226],"satellite":[9,22,112,208,218],"analysis,":[11],"focused":[12],"on":[13,38,206],"locating":[14],"targets":[15,188],"within":[16],"the":[17,94,118,123,128,157,190,200,213],"imagery.":[18],"Current":[19],"research":[20],"single-object":[24],"primarily":[26],"centers":[27],"around":[28],"traditional":[29],"correlation":[30],"filter-based":[31],"methods":[32,43],"and":[33,55,84,176],"deep":[34],"learning":[35,106],"techniques":[36],"based":[37],"Siamese":[39,77],"networks.":[40],"However,":[41],"these":[42,90],"encounter":[44],"challenges,":[45],"such":[46],"as":[47],"template":[48],"inconsistency":[49],"due":[50],"to":[51,88,108,121,182],"target":[52,124,132],"appearance":[53],"variations":[54],"imprecise":[56],"caused":[59],"by":[60,125],"target-background":[61],"similarities.":[62],"In":[63],"this":[64,227],"paper,":[65],"we":[66,144,167],"introduce":[67,145],"novel":[69],"approach":[70],"called":[71],"SiamOBR":[72,214],"(Satellite":[73],"Video":[74],"Object":[75],"Tracking":[76],"Network":[78],"with":[79,199],"Online":[80],"Background":[81],"Discriminative":[82],"Learning":[83],"Bounding":[85],"Box":[86],"Optimization)":[87],"address":[89],"issues.":[91],"Building":[92],"upon":[93],"baseline":[95,158],"twin":[96],"network":[97,165],"framework,":[98],"our":[99],"model":[100],"leverages":[101],"an":[102],"online":[103],"background":[104],"discriminative":[105],"module":[107,116,150],"initialize":[109],"using":[110],"input":[111],"frames.":[114],"This":[115],"improves":[117],"network\u2019s":[119],"ability":[120],"distinguish":[122],"dynamically":[126],"updating":[127],"template,":[129],"effectively":[130],"addressing":[131],"deformations":[133],"resulting":[134],"from":[135,156],"motion.":[136],"To":[137],"tackle":[138],"inaccuracies":[139],"bounding":[141,147],"box":[142,148],"estimation,":[143],"optimization":[149],"that":[151,212],"refines":[152],"results":[154],"obtained":[155],"tracker,":[159],"further":[160],"enhancing":[161],"accuracy.":[163],"During":[164],"training,":[166],"employ":[168],"probability":[169],"regression":[170,175],"place":[172],"of":[173],"confidence":[174],"utilize":[177],"cross-entropy":[179],"loss":[180],"function":[181],"rectify":[183],"labeling":[184],"errors":[185],"for":[186],"small":[187],"where":[189],"labeled":[191],"box\u2019s":[192],"center":[193],"point":[194],"may":[195],"not":[196],"align":[197],"perfectly":[198],"object.":[201],"We":[202],"conducted":[203],"quantitative":[204],"experiments":[205],"real-world":[207],"datasets,":[210],"demonstrating":[211],"framework":[215],"outperforms":[216],"existing":[217],"models,":[222],"showcasing":[223],"its":[224],"effectiveness":[225],"domain.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
