{"id":"https://openalex.org/W2897902589","doi":"https://doi.org/10.1109/jstars.2018.2874128","title":"Target Detection Based on Dual-Domain Sparse Reconstruction Saliency in SAR Images","display_name":"Target Detection Based on Dual-Domain Sparse Reconstruction Saliency in SAR Images","publication_year":2018,"publication_date":"2018-10-19","ids":{"openalex":"https://openalex.org/W2897902589","doi":"https://doi.org/10.1109/jstars.2018.2874128","mag":"2897902589"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2018.2874128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2018.2874128","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5043352633","display_name":"Lu Li","orcid":"https://orcid.org/0000-0001-6679-7145"},"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":"Lu Li","raw_affiliation_strings":["National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6679-7145","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716826","display_name":"Lan Du","orcid":"https://orcid.org/0000-0002-4503-0022"},"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":"Lan Du","raw_affiliation_strings":["National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4503-0022","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073837122","display_name":"Zhaocheng Wang","orcid":"https://orcid.org/0000-0003-4890-2540"},"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":"Zhaocheng Wang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-4890-2540","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.3779,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.86381545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"11","first_page":"4230","last_page":"4243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955000281333923,"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":0.9855999946594238,"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/clutter","display_name":"Clutter","score":0.8384166359901428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.81523597240448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7728245258331299},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6539219617843628},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6481640934944153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6085917949676514},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5107913017272949},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.4849686622619629},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.47797128558158875},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.21816223859786987}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8384166359901428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.81523597240448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728245258331299},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6539219617843628},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6481640934944153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6085917949676514},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5107913017272949},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.4849686622619629},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.47797128558158875},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.21816223859786987},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2018.2874128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2018.2874128","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G3476442746","display_name":null,"funder_award_id":"61671354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5631434781","display_name":null,"funder_award_id":"B18039","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G6470031706","display_name":"\u57fa\u4e8e\u6df1\u5c42\u7f51\u7edc\u8fc1\u79fb\u4e0e\u591a\u4efb\u52a1\u5b66\u4e60\u7684\u96f7\u8fbe\u76ee\u6807\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G83685938","display_name":null,"funder_award_id":"1833203","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/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W834514630","https://openalex.org/W1497599070","https://openalex.org/W1535046761","https://openalex.org/W1904073808","https://openalex.org/W1938386764","https://openalex.org/W1984452441","https://openalex.org/W1989336058","https://openalex.org/W1996029520","https://openalex.org/W2027922120","https://openalex.org/W2065985528","https://openalex.org/W2116724443","https://openalex.org/W2118246710","https://openalex.org/W2124351162","https://openalex.org/W2128272608","https://openalex.org/W2128340050","https://openalex.org/W2133589685","https://openalex.org/W2146103513","https://openalex.org/W2155653793","https://openalex.org/W2158698691","https://openalex.org/W2165499184","https://openalex.org/W2176806231","https://openalex.org/W2244285658","https://openalex.org/W2258079239","https://openalex.org/W2282640221","https://openalex.org/W2342877428","https://openalex.org/W2371190279","https://openalex.org/W2523772278","https://openalex.org/W2552955500","https://openalex.org/W2603154372","https://openalex.org/W2626948536","https://openalex.org/W2768630752","https://openalex.org/W3146607488","https://openalex.org/W6600850345","https://openalex.org/W6629672220"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W4241911733"],"abstract_inverted_index":{"The":[0],"conventional":[1],"target":[2,59,132,156],"detection":[3,60],"methods":[4,257],"in":[5,52,69,76,86,94,117,158,189,249,277,281],"synthetic":[6],"aperture":[7],"radar":[8],"(SAR)":[9],"images":[10,116],"usually":[11],"utilize":[12,80],"the":[13,17,43,48,64,73,83,91,98,105,118,122,127,130,141,148,159,163,177,180,184,193,211,220,226,230,234,238,241,254,259,262,265,269,286,293,296,301,304,312],"clutter":[14,18,29,44,49,109,114,153],"information":[15,45,85,93,125,188],"via":[16,104,147],"statistical":[19,30,50],"modeling.":[20],"However,":[21],"it":[22],"is":[23,102,145,214,244],"difficult":[24],"to":[25,200,206,216],"select":[26],"an":[27],"appropriate":[28],"distribution":[31],"model":[32],"for":[33],"a":[34,57],"real":[35],"SAR":[36,70,77,115],"image.":[37],"To":[38],"make":[39,201],"full":[40],"use":[41],"of":[42,169,251,283],"while":[46],"avoid":[47],"modeling,":[51],"this":[53,137],"paper,":[54],"we":[55,79],"propose":[56],"novel":[58],"method":[61,203,228,243,306],"based":[62],"on":[63,108,151,229],"dual-domain":[65],"sparse":[66,106,149],"reconstruction":[67,107,150],"saliency":[68,100,138,143,196,222,256,298],"images.":[71],"Considering":[72],"speckle":[74,207],"noise":[75],"images,":[78],"not":[81],"only":[82],"intensity":[84,124],"image":[87,119],"domain":[88,120,161],"but":[89],"also":[90,307],"structure":[92],"feature":[95,160,173],"domain.":[96],"First,":[97],"image-domain":[99],"map":[101,144],"constructed":[103,146],"templates":[110,133,157],"extracted":[111],"from":[112,136,219],"pure":[113],"with":[121,162],"pixel-level":[123,170],"as":[126,176],"descriptor,":[128,178],"and":[129,154,186,209,233,268,272,295],"potential":[131,155],"are":[134,198],"obtained":[135],"map.":[139,223],"Then,":[140],"feature-domain":[142],"both":[152],"superpixel-level":[164],"locality-constrained":[165],"linear":[166],"coding":[167],"(LLC)":[168],"scale":[171],"invariant":[172],"transform":[174],"features":[175],"where":[179],"LLC":[181],"can":[182],"describe":[183],"spatial":[185],"structural":[187],"superpixel":[190],"level.":[191],"Finally,":[192],"aforementioned":[194,297],"two":[195],"maps":[197],"integrated":[199,221],"our":[202],"more":[204],"robust":[205],"noise,":[208],"then,":[210],"winner-take-all":[212],"approach":[213],"applied":[215],"detect":[217],"targets":[218],"We":[224],"evaluate":[225],"proposed":[227,242,305],"miniSAR":[231,239],"data":[232],"RADARSAT-2":[235,302],"data.":[236],"On":[237,300],"data,":[240,303],"at":[245,273],"least":[246,274],"5%":[247],"higher":[248,276,280],"terms":[250],"AUC":[252],"than":[253,285,311],"other":[255],"(i.e.,":[258],"Itti's":[260],"method,":[261,264,267],"SR":[263],"SVD":[266],"JDSR":[270],"method),":[271],"20%":[275],"F1-score,":[278],"22%":[279],"figure":[282],"merit":[284],"Gaussian":[287],"constant":[288],"false":[289],"alarm":[290],"rate":[291],"(CFAR),":[292],"Gamma-CFAR,":[294],"methods.":[299,315],"achieves":[308],"better":[309],"performance":[310],"previously":[313],"compared":[314]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}