{"id":"https://openalex.org/W2901976902","doi":"https://doi.org/10.1109/tci.2018.2881530","title":"Joint SAR Imaging and Multi-Feature Decomposition From 2-D Under-Sampled Data Via Low-Rankness Plus Sparsity Priors","display_name":"Joint SAR Imaging and Multi-Feature Decomposition From 2-D Under-Sampled Data Via Low-Rankness Plus Sparsity Priors","publication_year":2018,"publication_date":"2018-11-16","ids":{"openalex":"https://openalex.org/W2901976902","doi":"https://doi.org/10.1109/tci.2018.2881530","mag":"2901976902"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2018.2881530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2018.2881530","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","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/A5102945560","display_name":"Majid Moradikia","orcid":"https://orcid.org/0000-0002-5357-0328"},"institutions":[{"id":"https://openalex.org/I204490172","display_name":"Shiraz University of Technology","ror":"https://ror.org/04bxa3v83","country_code":"IR","type":"education","lineage":["https://openalex.org/I204490172"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Majid Moradikia","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran","Department of Electrical and Electronics Engineering; Shiraz University of Technology; Shiraz Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran","institution_ids":["https://openalex.org/I204490172"]},{"raw_affiliation_string":"Department of Electrical and Electronics Engineering; Shiraz University of Technology; Shiraz Iran","institution_ids":["https://openalex.org/I204490172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053874819","display_name":"Sadegh Samadi","orcid":"https://orcid.org/0000-0002-5445-9939"},"institutions":[{"id":"https://openalex.org/I204490172","display_name":"Shiraz University of Technology","ror":"https://ror.org/04bxa3v83","country_code":"IR","type":"education","lineage":["https://openalex.org/I204490172"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Sadegh Samadi","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran","Department of Electrical and Electronics Engineering; Shiraz University of Technology; Shiraz Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran","institution_ids":["https://openalex.org/I204490172"]},{"raw_affiliation_string":"Department of Electrical and Electronics Engineering; Shiraz University of Technology; Shiraz Iran","institution_ids":["https://openalex.org/I204490172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017228370","display_name":"M\u00fcjdat \u00c7etin","orcid":"https://orcid.org/0000-0002-9824-1229"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mujdat Cetin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102945560"],"corresponding_institution_ids":["https://openalex.org/I204490172"],"apc_list":null,"apc_paid":null,"fwci":3.122,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91957098,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"5","issue":"1","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7310596704483032},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7094732522964478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6638278961181641},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5849193930625916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5521966218948364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5192323327064514},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4845103621482849},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4771175682544708},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46524059772491455},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4565465450286865},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.44058656692504883},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.18309739232063293}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7310596704483032},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7094732522964478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6638278961181641},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5849193930625916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5521966218948364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5192323327064514},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4845103621482849},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4771175682544708},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46524059772491455},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4565465450286865},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.44058656692504883},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.18309739232063293},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/tci.2018.2881530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2018.2881530","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"},{"id":"pmh:oai:research.sabanciuniv.edu:38706","is_oa":false,"landing_page_url":"http://research.sabanciuniv.edu/38706/1/08537929_published.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402254","display_name":"Sabanci University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134235054","host_organization_name":"Sabanc\u0131 \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I134235054"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1584759658","https://openalex.org/W1975077543","https://openalex.org/W1978993121","https://openalex.org/W1991863442","https://openalex.org/W2003753589","https://openalex.org/W2004376198","https://openalex.org/W2032885709","https://openalex.org/W2037437396","https://openalex.org/W2046433976","https://openalex.org/W2046553185","https://openalex.org/W2046731301","https://openalex.org/W2053644289","https://openalex.org/W2055452283","https://openalex.org/W2056370875","https://openalex.org/W2090563002","https://openalex.org/W2091256848","https://openalex.org/W2098362778","https://openalex.org/W2100556411","https://openalex.org/W2103972604","https://openalex.org/W2111899019","https://openalex.org/W2118550318","https://openalex.org/W2122961301","https://openalex.org/W2123031198","https://openalex.org/W2123693211","https://openalex.org/W2124608575","https://openalex.org/W2133665775","https://openalex.org/W2136005975","https://openalex.org/W2136235822","https://openalex.org/W2138287042","https://openalex.org/W2142808775","https://openalex.org/W2145962650","https://openalex.org/W2149918662","https://openalex.org/W2150540624","https://openalex.org/W2154996879","https://openalex.org/W2164278908","https://openalex.org/W2167400582","https://openalex.org/W2167839759","https://openalex.org/W2168850184","https://openalex.org/W2168903001","https://openalex.org/W2419127331","https://openalex.org/W2423620120","https://openalex.org/W2536599074","https://openalex.org/W2603013552","https://openalex.org/W3104624268","https://openalex.org/W3106359998","https://openalex.org/W3122764147","https://openalex.org/W4292363360","https://openalex.org/W6673172288"],"related_works":["https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W3110962985","https://openalex.org/W2042726296","https://openalex.org/W2081203575","https://openalex.org/W3016428515","https://openalex.org/W2096748030","https://openalex.org/W2160730947","https://openalex.org/W2747205507","https://openalex.org/W2887270943"],"abstract_inverted_index":{"In":[0,89,109],"this":[1,53],"paper,":[2],"we":[3,243],"introduce":[4],"a":[5,85,162,191],"multi-feature":[6,165],"decomposition":[7,166],"approach":[8],"to":[9,119],"the":[10,90,95,102,110,125,146,151,157,168,175,200,205,217,223,227,245,248],"problem":[11,54,170],"of":[12,66,153,179,194,202,216,226,233,247],"synthetic":[13,253],"aperture":[14],"radar":[15],"(SAR)":[16],"image":[17,30,60,92,159],"reconstruction":[18,160],"from":[19,235],"under-sampled":[20,236],"data":[21],"in":[22,63,204,221],"both":[23,101,252],"range":[24],"and":[25,46,70,104,212,229,254],"azimuth":[26],"directions.":[27],"Conventional":[28],"SAR":[29,59,87,158,219,256],"formation":[31],"methods":[32],"may":[33],"produce":[34],"images":[35,82,139],"that":[36],"are":[37,68,107,187],"not":[38,93],"appropriate":[39],"for":[40,149],"interpretation":[41,127],"tasks":[42,128],"such":[43,129],"as":[44,130,161],"segmentation":[45],"automatic":[47],"target":[48],"recognition.":[49],"We":[50],"deal":[51],"with":[52,84,199],"using":[55],"an":[56],"efficient":[57],"joint":[58],"reconstruction-decomposition":[61],"framework":[62,78],"which":[64,123],"features":[65,201,232],"interest":[67,203],"enhanced":[69],"decomposed":[71,111,138],"simultaneously.":[72],"Unlike":[73],"conventional":[74],"methods,":[75],"our":[76],"proposed":[77,208,249],"provides":[79],"multiple":[80,184,195],"segment":[81],"along":[83],"composite":[86,91],"image.":[88],"only":[94],"resolution":[96],"is":[97,171],"improved":[98],"but":[99],"also":[100],"speckle":[103],"sidelobe":[105],"artifacts":[106],"reduced.":[108],"images,":[112],"different":[113,120,214],"components":[114,186],"can":[115],"be":[116],"roughly":[117],"attributed":[118],"potential":[121],"segments,":[122],"facilitate":[124],"subsequent":[126],"shape-based":[131],"recognition":[132],"or":[133],"region":[134],"segmentation.":[135],"Moreover,":[136],"these":[137],"contain":[140],"easier-to-segment":[141],"regions":[142],"rather":[143],"than":[144],"taking":[145],"entire":[147],"scene":[148],"segmenting":[150],"feature":[152],"interest.":[154],"By":[155],"formulating":[156],"low-rank":[163,224],"plus":[164],"problem,":[167],"optimization":[169],"solved":[172],"based":[173],"on":[174,251],"alternating":[176],"direction":[177],"method":[178,209,250],"multipliers.":[180],"Using":[181,239],"combined":[182],"dictionaries,":[183],"transform-sparse":[185],"represented":[188,231],"efficiently":[189],"by":[190],"linear":[192],"combination":[193],"sparsifying":[196],"matrices":[197],"associated":[198],"scene.":[206],"Our":[207],"jointly":[210],"reconstructs":[211],"decomposes":[213],"pieces":[215],"imaged":[218],"scene,":[220],"particular":[222],"part":[225],"background":[228],"sparsely":[230],"interest,":[234],"observed":[237],"data.":[238],"extensive":[240],"experimental":[241],"results":[242],"show":[244],"effectiveness":[246],"real":[255],"images.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}