{"id":"https://openalex.org/W3208652788","doi":"https://doi.org/10.1109/icspcc52875.2021.9564597","title":"Improved Ray Tracing Based Augmentations for Concealed Object Detection in Activate Millimeter Wave Imaging","display_name":"Improved Ray Tracing Based Augmentations for Concealed Object Detection in Activate Millimeter Wave Imaging","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3208652788","doi":"https://doi.org/10.1109/icspcc52875.2021.9564597","mag":"3208652788"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc52875.2021.9564597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030125872","display_name":"Luning Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luning Tang","raw_affiliation_strings":["Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology,Beijing,China","Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology,Beijing,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033192835","display_name":"Shuoguang Wang","orcid":"https://orcid.org/0000-0001-5531-4275"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuoguang Wang","raw_affiliation_strings":["Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology,Beijing,China","Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology,Beijing,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100780833","display_name":"Shiyong Li","orcid":"https://orcid.org/0000-0002-2990-0497"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyong Li","raw_affiliation_strings":["Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology,Beijing,China","Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology,Beijing,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.4833,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59307454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9995999932289124,"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":0.9995999932289124,"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/T10752","display_name":"Terahertz technology and applications","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9957000017166138,"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/rendering","display_name":"Rendering (computer graphics)","score":0.8140485882759094},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"Ray tracing (physics)","score":0.7926310300827026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7611080408096313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6387536525726318},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6307075619697571},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.598922610282898},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.580681562423706},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5680934190750122},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5151099562644958},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4768220782279968},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42170417308807373},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.280456006526947},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13552269339561462}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.8140485882759094},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.7926310300827026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611080408096313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6387536525726318},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6307075619697571},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.598922610282898},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.580681562423706},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5680934190750122},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5151099562644958},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4768220782279968},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42170417308807373},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.280456006526947},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13552269339561462},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc52875.2021.9564597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W258391794","https://openalex.org/W639708223","https://openalex.org/W1974688609","https://openalex.org/W1990469571","https://openalex.org/W2001923215","https://openalex.org/W2002992557","https://openalex.org/W2076285411","https://openalex.org/W2133665775","https://openalex.org/W2153777140","https://openalex.org/W2155684415","https://openalex.org/W2180373576","https://openalex.org/W2536844403","https://openalex.org/W2899915404","https://openalex.org/W2914353073","https://openalex.org/W2963037989","https://openalex.org/W3039727686","https://openalex.org/W3106250896","https://openalex.org/W3211071089","https://openalex.org/W6609809576","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2054109135","https://openalex.org/W2012819262","https://openalex.org/W2120224698","https://openalex.org/W4323358701","https://openalex.org/W2078859084","https://openalex.org/W2527954625","https://openalex.org/W2886037301","https://openalex.org/W206388321","https://openalex.org/W2044956415","https://openalex.org/W2028679277"],"abstract_inverted_index":{"Active":[0],"millimeter":[1],"wave":[2],"(AMMW)":[3],"imaging":[4],"technique":[5],"plays":[6],"an":[7,73],"important":[8],"role":[9],"in":[10,40,97,107,167],"the":[11,20,28,53,60,64,87,105,108,113,118,130,139,156,161],"security":[12],"check,":[13],"due":[14],"to":[15,18,81,103,137],"its":[16],"ability":[17],"detect":[19],"concealed":[21,41,175],"objects":[22],"harmlessly":[23],"without":[24],"violating":[25],"privacy.":[26],"With":[27],"rapid":[29],"development":[30],"of":[31,55,160],"deep":[32,65,172],"learning,":[33],"several":[34],"algorithms":[35],"have":[36],"achieved":[37],"great":[38],"success":[39],"object":[42,176],"detection":[43],"for":[44,52,62,171],"AMMW":[45,169],"images.":[46,140],"However,":[47],"their":[48],"performance":[49],"is":[50,59,79,91,101,135],"restricted":[51],"lack":[54],"sufficient":[56],"data,":[57],"which":[58,90],"prerequisite":[61],"training":[63],"learning":[66,173],"neural":[67],"network.":[68],"To":[69],"address":[70],"this":[71],"task,":[72],"improved":[74,163],"ray":[75,164],"tracing":[76,165],"(RT)":[77],"method":[78,120],"proposed":[80,119,162],"fast":[82],"solve":[83],"scattering":[84,106],"fields.":[85],"Specifically,":[86],"Blinn-Phong":[88],"model,":[89],"a":[92],"simple":[93],"but":[94],"effective":[95],"model":[96],"computer":[98],"graphics":[99],"rendering,":[100],"utilized":[102],"simulate":[104],"target":[109],"surface.":[110],"Comparing":[111],"with":[112,125,150],"conventional":[114],"full-wave":[115],"simulation":[116,153],"methods,":[117,154],"can":[121],"achieve":[122],"similar":[123],"results":[124],"much":[126],"less":[127],"time.":[128],"Then":[129],"range":[131],"migration":[132],"algorithm":[133],"(RMA)":[134],"employed":[136],"reconstruct":[138],"Both":[141],"visual":[142],"and":[143,158],"numerical":[144],"results,":[145],"as":[146,148],"well":[147],"comparisons":[149],"other":[151],"classical":[152],"demonstrate":[155],"effectiveness":[157],"superiority":[159],"framework":[166],"generating":[168],"images":[170],"based":[174],"detection.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}