{"id":"https://openalex.org/W2895257839","doi":"https://doi.org/10.1109/lgrs.2018.2871775","title":"Low Complexity Algorithm for Range-Point Migration-Based Human Body Imaging for Multistatic UWB Radars","display_name":"Low Complexity Algorithm for Range-Point Migration-Based Human Body Imaging for Multistatic UWB Radars","publication_year":2018,"publication_date":"2018-10-04","ids":{"openalex":"https://openalex.org/W2895257839","doi":"https://doi.org/10.1109/lgrs.2018.2871775","mag":"2895257839"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2871775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2871775","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://uec.repo.nii.ac.jp/records/8900","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050051165","display_name":"Yoshiki Akiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiki Akiyama","raw_affiliation_strings":["Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023006213","display_name":"Shouhei Kidera","orcid":"https://orcid.org/0000-0002-2993-5649"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shouhei Kidera","raw_affiliation_strings":["Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2993-5649","affiliations":[{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.892,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.72894181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"2","first_page":"216","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":1.0,"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":0.9991000294685364,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6221712827682495},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4661098122596741},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.45847088098526},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4326440691947937},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.366010844707489},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35497331619262695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3210409879684448},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17027461528778076},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14854499697685242},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12840896844863892}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6221712827682495},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4661098122596741},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.45847088098526},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4326440691947937},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.366010844707489},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35497331619262695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3210409879684448},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17027461528778076},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14854499697685242},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12840896844863892},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2018.2871775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2871775","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00931:0003059735","is_oa":true,"landing_page_url":"https://uec.repo.nii.ac.jp/records/8900","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal article"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:00931:0003059735","is_oa":true,"landing_page_url":"https://uec.repo.nii.ac.jp/records/8900","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1519309472","https://openalex.org/W1903804808","https://openalex.org/W1969087991","https://openalex.org/W2067200256","https://openalex.org/W2089740809","https://openalex.org/W2126789657","https://openalex.org/W2131952685","https://openalex.org/W2148187452","https://openalex.org/W2413374911","https://openalex.org/W2560142947","https://openalex.org/W2778163404"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W4313855562","https://openalex.org/W2091422131"],"abstract_inverted_index":{"High-resolution,":[0],"short-range":[1,38],"sensors":[2],"that":[3,34,140],"can":[4],"be":[5],"applied":[6],"in":[7,12,22,112],"optically":[8],"challenging":[9],"environments":[10],"(e.g.,":[11],"the":[13,146,151],"presence":[14],"of":[15],"clouds,":[16],"fog,":[17],"and/or":[18],"dark":[19],"smog)":[20],"are":[21,69],"high":[23,80],"demand":[24],"for":[25,37,94],"various":[26],"applications.":[27],"Ultrawideband":[28],"radar":[29],"is":[30,35,118],"a":[31,51,74,91,102,108,121,127,134],"promising":[32,52],"sensor":[33],"suitable":[36],"surveillance":[39],"or":[40],"watching":[41],"sensors.":[42],"Range-point":[43],"migration":[44],"(RPM)":[45],"has":[46],"been":[47],"recently":[48],"established":[49],"as":[50,73],"imaging":[53,98],"approach":[54],"to":[55],"achieve":[56],"accurate":[57],"and":[58],"real-time":[59],"3-D":[60,97],"imaging.":[61],"However,":[62],"when":[63],"objects":[64],"with":[65,90,107],"many":[66],"scattering":[67,104],"points":[68],"dealt":[70],"with,":[71],"such":[72],"human":[75,136],"body,":[76],"RPM":[77],"suffers":[78],"from":[79,126],"computational":[81,147],"costs.":[82],"In":[83],"this":[84],"letter,":[85],"we":[86],"propose":[87],"an":[88,95,114],"algorithm":[89],"lower":[92],"complexity":[93],"RPM-based":[96],"method":[99,143],"by":[100,120],"introducing":[101],"sampling-based":[103],"center":[105],"extraction":[106],"simplified":[109],"evaluation":[110],"function,":[111],"which":[113,132],"efficient":[115],"sample":[116],"pattern":[117],"provided":[119],"golden":[122],"ratio.":[123],"The":[124],"results":[125],"finite-difference":[128],"time-domain-based":[129],"numerical":[130],"test,":[131],"introduces":[133],"realistic":[135],"body":[137],"object,":[138],"demonstrate":[139],"our":[141],"proposed":[142],"remarkably":[144],"reduces":[145],"cost":[148],"without":[149],"sacrificing":[150],"reconstruction":[152],"accuracy.":[153]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
