{"id":"https://openalex.org/W2984404693","doi":"https://doi.org/10.1109/igarss.2019.8900572","title":"Improved Low Rank plus Structured Sparsity and Unstructured Sparsity Decomposition for Moving Object Detection in Satellite Videos","display_name":"Improved Low Rank plus Structured Sparsity and Unstructured Sparsity Decomposition for Moving Object Detection in Satellite Videos","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2984404693","doi":"https://doi.org/10.1109/igarss.2019.8900572","mag":"2984404693"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8900572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5100702171","display_name":"Junpeng Zhang","orcid":"https://orcid.org/0000-0001-8068-6767"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Junpeng Zhang","raw_affiliation_strings":["School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100702171"],"corresponding_institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61355504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5421","last_page":"5424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9965999722480774,"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":0.9866999983787537,"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/pixel","display_name":"Pixel","score":0.7336171865463257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936788558959961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6660594940185547},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5425333380699158},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5335655212402344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5148876905441284},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49593982100486755},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49365124106407166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44293534755706787},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.421254426240921},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22022351622581482}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7336171865463257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936788558959961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6660594940185547},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5425333380699158},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5335655212402344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5148876905441284},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49593982100486755},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49365124106407166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44293534755706787},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.421254426240921},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22022351622581482},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8900572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1564354676","https://openalex.org/W1889432577","https://openalex.org/W1995903777","https://openalex.org/W2005853603","https://openalex.org/W2059639989","https://openalex.org/W2087018183","https://openalex.org/W2100549954","https://openalex.org/W2108687351","https://openalex.org/W2142077116","https://openalex.org/W2951085447","https://openalex.org/W6633899590","https://openalex.org/W6639452848","https://openalex.org/W6675164516","https://openalex.org/W6676634215","https://openalex.org/W6681016373"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911"],"abstract_inverted_index":{"Detecting":[0],"moving":[1,18,31,59,145],"objects":[2,19,32,60],"from":[3],"satellite":[4,134],"videos":[5],"decomposes":[6],"video":[7,135],"frames":[8],"into":[9],"low":[10,83],"rank":[11,84],"background":[12,141],"with":[13,143],"additive":[14],"sparse":[15,62],"foreground,":[16],"and":[17,39,110],"are":[20,33],"commonly":[21],"rec-ognized":[22],"by":[23],"pixel-wise":[24,47],"sparsity":[25,44,94],"in":[26,140],"the":[27,68,75,82,90,125],"foreground.":[28],"In":[29,86],"prac-tice,":[30],"sets":[34,63],"of":[35,64,92],"spatially":[36],"related":[37],"pixels":[38],"tend":[40],"to":[41,74,80,88,95,123],"present":[42],"structured":[43],"rather":[45],"than":[46],"sparsity.":[48],"Based":[49],"on":[50,132],"this":[51],"spatial":[52,76],"prior,":[53,77],"Structured":[54,108],"Sparsity":[55,109,112],"Inducing":[56],"Norm":[57],"models":[58],"as":[61],"neighboring":[65],"pixels,":[66],"however,":[67],"isolated":[69],"sparsity,":[70],"which":[71],"is":[72,78,120],"unsuited":[73],"left":[79],"corrupt":[81],"background.":[85],"order":[87],"address":[89],"corruption":[91],"unstructured":[93],"background,":[96],"we":[97],"proposed":[98,122],"a":[99,133],"new":[100],"decomposition":[101,127],"formulation":[102,128],"named":[103],"Improved":[104],"Low":[105],"Rank":[106],"plus":[107],"Unstructured":[111],"Decomposition":[113],"(ILRSUSD).":[114],"An":[115],"inexact":[116],"Alternating":[117],"Direction":[118],"Method":[119],"then":[121],"solve":[124],"improved":[126],"efficiently.":[129],"Experimental":[130],"result":[131],"dataset":[136],"demonstrates":[137],"our":[138],"improvement":[139],"modeling":[142],"boosted":[144],"object":[146],"detection":[147],"precision":[148],"against":[149],"state-of-art":[150],"approaches.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
