{"id":"https://openalex.org/W3195256791","doi":"https://doi.org/10.1109/lgrs.2021.3103197","title":"Cascaded Regional People Counting Approach Based on Two-Dimensional Spatial Attribute Features Using MIMO Radar","display_name":"Cascaded Regional People Counting Approach Based on Two-Dimensional Spatial Attribute Features Using MIMO Radar","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3195256791","doi":"https://doi.org/10.1109/lgrs.2021.3103197","mag":"3195256791"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3103197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3103197","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056241163","display_name":"Zhaocheng Yang","orcid":"https://orcid.org/0000-0002-2410-167X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaocheng Yang","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-2410-167X","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071437466","display_name":"Xiaoze Huang","orcid":"https://orcid.org/0000-0003-1238-8148"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoze Huang","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-1238-8148","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":11.7436,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.97789267,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","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"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9987000226974487,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.7609567642211914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913359761238098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6309618949890137},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6094140410423279},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5891945362091064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5605787634849548},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5048821568489075},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.4699649512767792},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12889227271080017}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7609567642211914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913359761238098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6309618949890137},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6094140410423279},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5891945362091064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5605787634849548},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5048821568489075},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.4699649512767792},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12889227271080017},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3103197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3103197","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G4280049117","display_name":null,"funder_award_id":"2019A1515011517","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8656181960","display_name":"\u591a\u7ef4\u4e92\u8d28\u7ed3\u6784FDA\u96f7\u8fbe\u7a00\u758f\u7a7a\u65f6\u8ddd\u81ea\u9002\u5e94\u5904\u7406\u7814\u7a76","funder_award_id":"61771317","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/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2030878855","https://openalex.org/W2113099611","https://openalex.org/W2726539575","https://openalex.org/W2807894089","https://openalex.org/W2898434060","https://openalex.org/W2906569673","https://openalex.org/W2998516060","https://openalex.org/W3012062242","https://openalex.org/W3153895306","https://openalex.org/W3161657383"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W1679012645","https://openalex.org/W2070318884","https://openalex.org/W2011939812","https://openalex.org/W1977371217","https://openalex.org/W2889302474"],"abstract_inverted_index":{"A":[0],"cascaded":[1,137],"regional":[2],"people":[3,40,54,112,175],"counting":[4,176],"approach":[5],"based":[6],"on":[7],"two-dimensional":[8],"(2-D)":[9],"spatial":[10,85],"attribute":[11,86],"features":[12,97,104],"using":[13],"multi-input":[14],"multi-output":[15],"(MIMO)":[16],"radar":[17],"is":[18,26,31,76,168],"presented":[19],"in":[20,41,56,68],"this":[21,72],"letter.":[22],"The":[23,46,151],"main":[24],"task":[25],"to":[27,35,48,81,140],"detect":[28,50,141],"whether":[29],"there":[30],"a":[32,42,123,127,132],"target,":[33],"and":[34,63,79,98,113,131,138,145,165],"classify":[36,146],"the":[37,51,57,64,69,83,89,95,99,106,111,114,119,142,147,156,173],"number":[38,52,148],"of":[39,53,59,92,122,149,160],"closed":[43],"metal":[44],"ramp.":[45],"difficulty":[47],"accurately":[49],"lies":[55],"presence":[58,144],"strong":[60,65],"static":[61],"clutter":[62],"multipath":[66],"effects":[67],"environment.":[70,125],"In":[71],"letter,":[73],"range-angle":[74,93],"spectrum":[75],"first":[77],"computed":[78],"exploited":[80],"extract":[82],"2-D":[84],"features,":[87],"namely":[88],"effective":[90],"peaks":[91],"spectrum,":[94],"spacing":[96],"energy":[100],"block":[101],"features.":[102],"These":[103],"reflect":[105],"relative":[107],"position":[108],"relationships":[109],"between":[110],"environment":[115],"as":[116,118],"well":[117],"physical":[120],"structure":[121],"certain":[124],"Then,":[126],"maximum":[128],"likelihood":[129],"classifier":[130,135],"random":[133],"forest":[134],"are":[136],"applied":[139],"target":[143],"people.":[150],"experiment":[152],"results":[153],"show":[154],"that":[155],"average":[157],"classification":[158],"accuracy":[159],"0":[161],"person,":[162,164],"1":[163],"multiple":[166],"persons":[167],"above":[169],"92.55%,":[170],"which":[171],"outperforms":[172],"existing":[174],"approaches.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
