{"id":"https://openalex.org/W2941334664","doi":"https://doi.org/10.3390/rs11080984","title":"GPR Antipersonnel Mine Detection Based on Tensor Robust Principal Analysis","display_name":"GPR Antipersonnel Mine Detection Based on Tensor Robust Principal Analysis","publication_year":2019,"publication_date":"2019-04-24","ids":{"openalex":"https://openalex.org/W2941334664","doi":"https://doi.org/10.3390/rs11080984","mag":"2941334664"},"language":"en","primary_location":{"id":"doi:10.3390/rs11080984","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11080984","pdf_url":"https://www.mdpi.com/2072-4292/11/8/984/pdf?version=1556116539","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/8/984/pdf?version=1556116539","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014217729","display_name":"Xiaoji Song","orcid":"https://orcid.org/0000-0001-9039-4784"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoji Song","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716701","display_name":"Tao Liu","orcid":"https://orcid.org/0000-0001-8299-646X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Liu","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023203007","display_name":"Deliang Xiang","orcid":"https://orcid.org/0000-0003-0152-6621"},"institutions":[{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deliang Xiang","raw_affiliation_strings":["National Innovation Institute of Technology, Academy of Science, Beijing 100166, China"],"affiliations":[{"raw_affiliation_string":"National Innovation Institute of Technology, Academy of Science, Beijing 100166, China","institution_ids":["https://openalex.org/I4210162962"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004835193","display_name":"Yi Su","orcid":"https://orcid.org/0000-0002-1946-8063"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Su","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014217729"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7566,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83102855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"8","first_page":"984","last_page":"984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9993000030517578,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9977999925613403,"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":0.8846168518066406},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.8366633653640747},{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.7622682452201843},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.653115451335907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6298651099205017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6046535968780518},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6024309992790222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5733646750450134},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4633373022079468},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4310155510902405},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4214627742767334},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4047011137008667},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37532249093055725},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.29654183983802795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2415662705898285},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0660359263420105}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8846168518066406},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.8366633653640747},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.7622682452201843},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.653115451335907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6298651099205017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6046535968780518},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6024309992790222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5733646750450134},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4633373022079468},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4310155510902405},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4214627742767334},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4047011137008667},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37532249093055725},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.29654183983802795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2415662705898285},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0660359263420105},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11080984","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11080984","pdf_url":"https://www.mdpi.com/2072-4292/11/8/984/pdf?version=1556116539","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7bc46f26337a497597d3a06003331acf","is_oa":true,"landing_page_url":"https://doaj.org/article/7bc46f26337a497597d3a06003331acf","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 8, p 984 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/8/984/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11080984","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 11; Issue 8; Pages: 984","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11080984","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11080984","pdf_url":"https://www.mdpi.com/2072-4292/11/8/984/pdf?version=1556116539","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2941334664.pdf","grobid_xml":"https://content.openalex.org/works/W2941334664.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W269566753","https://openalex.org/W282757658","https://openalex.org/W315693871","https://openalex.org/W1491038446","https://openalex.org/W1841379813","https://openalex.org/W1922005389","https://openalex.org/W1957957025","https://openalex.org/W1998239584","https://openalex.org/W2030927653","https://openalex.org/W2037603831","https://openalex.org/W2043571470","https://openalex.org/W2074446380","https://openalex.org/W2079507452","https://openalex.org/W2097420428","https://openalex.org/W2115011614","https://openalex.org/W2124561964","https://openalex.org/W2139973898","https://openalex.org/W2140487331","https://openalex.org/W2142077116","https://openalex.org/W2142825035","https://openalex.org/W2145962650","https://openalex.org/W2146118864","https://openalex.org/W2147633303","https://openalex.org/W2151248321","https://openalex.org/W2151474707","https://openalex.org/W2155723734","https://openalex.org/W2157287108","https://openalex.org/W2162805627","https://openalex.org/W2165616753","https://openalex.org/W2202811667","https://openalex.org/W2343239670","https://openalex.org/W2347131235","https://openalex.org/W2560843641","https://openalex.org/W2728294189","https://openalex.org/W2735711969","https://openalex.org/W2776165398","https://openalex.org/W2796667576","https://openalex.org/W2811042045","https://openalex.org/W2890647011","https://openalex.org/W2899913359","https://openalex.org/W2907129756","https://openalex.org/W2912919760","https://openalex.org/W2964214749","https://openalex.org/W3097983326","https://openalex.org/W3099831354","https://openalex.org/W3149976863","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2028603514","https://openalex.org/W2388326001","https://openalex.org/W2115015615","https://openalex.org/W2351401443","https://openalex.org/W3011102797","https://openalex.org/W4320921117","https://openalex.org/W2431104759","https://openalex.org/W1649651896","https://openalex.org/W2317958419","https://openalex.org/W2116961228"],"abstract_inverted_index":{"The":[0,165],"ground":[1,33],"Penetrating":[2],"Radar":[3],"(GPR)":[4],"is":[5,145],"a":[6,40,69,129,134],"promising":[7],"remote":[8],"sensing":[9],"modality":[10],"for":[11],"Antipersonnel":[12],"Mine":[13],"(APM)":[14],"detection.":[15],"However,":[16],"detection":[17,62,144,189],"of":[18,47,89,105,188],"the":[19,28,48,81,90,100,106,111,123,151,169],"buried":[20],"APMs":[21],"are":[22,78,163],"impaired":[23],"by":[24,31,121,147,176],"strong":[25],"clutter,":[26,133],"especially":[27],"reflection":[29],"caused":[30],"rough":[32],"surfaces.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38,109],"propose":[39],"novel":[41],"clutter":[42,120],"suppression":[43],"method":[44,171],"taking":[45],"advantage":[46],"low-rank":[49,101,130],"and":[50,102,140,157,181,190],"sparse":[51,103,135],"structure":[52],"in":[53],"multidimensional":[54,70],"data,":[55],"based":[56],"on":[57],"which":[58],"an":[59],"efficient":[60],"target":[61,91,138,143,153],"can":[63,95],"be":[64,96],"accomplished.":[65],"We":[66],"firstly":[67],"created":[68],"image":[71,107,124],"tensor":[72,125],"using":[73],"sub-band":[74],"GPR":[75,84,161],"images":[76],"that":[77,87,168],"computed":[79],"from":[80],"band-pass":[82],"filtered":[83],"signals,":[85],"such":[86],"differences":[88],"response":[92],"between":[93],"sub-bands":[94],"captured.":[97],"Then,":[98],"exploiting":[99],"property":[104],"tensor,":[108],"use":[110],"recently":[112],"proposed":[113,170],"Tensor":[114],"Robust":[115],"Principal":[116],"Analysis":[117],"to":[118,150],"remove":[119],"decomposing":[122],"into":[126],"three":[127],"components:":[128],"component":[131,136],"containing":[132],"capturing":[137],"response,":[139],"noise.":[141],"Finally,":[142],"accomplished":[146],"applying":[148],"thresholds":[149],"extracted":[152],"image.":[154],"Numerical":[155],"simulations":[156],"experiments":[158],"with":[159,185],"different":[160],"systems":[162],"conducted.":[164],"results":[166,184],"show":[167],"effectively":[172],"improves":[173],"signal-to-clutter":[174],"ratio":[175],"more":[177],"than":[178],"20":[179],"dB":[180],"yields":[182],"satisfactory":[183],"high":[186],"probability":[187],"low":[191],"false":[192],"alarm":[193],"rates.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2019-05-03T00:00:00"}
