{"id":"https://openalex.org/W4211084061","doi":"https://doi.org/10.1109/lgrs.2022.3150921","title":"Robust Compressive Terahertz Coded Aperture Imaging Using Deep Priors","display_name":"Robust Compressive Terahertz Coded Aperture Imaging Using Deep Priors","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4211084061","doi":"https://doi.org/10.1109/lgrs.2022.3150921"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3150921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3150921","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/A5013221726","display_name":"Fengjiao Gan","orcid":"https://orcid.org/0000-0002-2598-2309"},"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":"Fengjiao Gan","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023809610","display_name":"Chenggao Luo","orcid":"https://orcid.org/0000-0002-5934-0662"},"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":"Chenggao Luo","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757637","display_name":"Hongqiang Wang","orcid":"https://orcid.org/0000-0002-2522-9552"},"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":"Hongqiang Wang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018318591","display_name":"Bin Deng","orcid":"https://orcid.org/0000-0002-0289-3469"},"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":"Bin Deng","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013221726"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.6256,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79246458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9988999962806702,"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":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.7804355621337891},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6334425806999207},{"id":"https://openalex.org/keywords/microwave-imaging","display_name":"Microwave imaging","score":0.6240733861923218},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6117756962776184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5924879312515259},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.579694390296936},{"id":"https://openalex.org/keywords/coded-aperture","display_name":"Coded aperture","score":0.5521817207336426},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5384836196899414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5168836116790771},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4983694553375244},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4646309018135071},{"id":"https://openalex.org/keywords/nasa-deep-space-network","display_name":"NASA Deep Space Network","score":0.44158199429512024},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4185428023338318},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3619796931743622},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.28467756509780884},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15313056111335754},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1034345030784607},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.08540928363800049},{"id":"https://openalex.org/keywords/microwave","display_name":"Microwave","score":0.08468577265739441}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804355621337891},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6334425806999207},{"id":"https://openalex.org/C2779885931","wikidata":"https://www.wikidata.org/wiki/Q17010029","display_name":"Microwave imaging","level":3,"score":0.6240733861923218},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6117756962776184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5924879312515259},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.579694390296936},{"id":"https://openalex.org/C2779464207","wikidata":"https://www.wikidata.org/wiki/Q4226196","display_name":"Coded aperture","level":3,"score":0.5521817207336426},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5384836196899414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5168836116790771},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4983694553375244},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4646309018135071},{"id":"https://openalex.org/C187107819","wikidata":"https://www.wikidata.org/wiki/Q835696","display_name":"NASA Deep Space Network","level":3,"score":0.44158199429512024},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4185428023338318},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3619796931743622},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.28467756509780884},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15313056111335754},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1034345030784607},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.08540928363800049},{"id":"https://openalex.org/C44838205","wikidata":"https://www.wikidata.org/wiki/Q127995","display_name":"Microwave","level":2,"score":0.08468577265739441},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C29829512","wikidata":"https://www.wikidata.org/wiki/Q40218","display_name":"Spacecraft","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3150921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3150921","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":[],"awards":[{"id":"https://openalex.org/G2941671986","display_name":null,"funder_award_id":"61971427","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4051969872","display_name":null,"funder_award_id":"62035014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4064010607","display_name":null,"funder_award_id":"61871386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5979008009","display_name":null,"funder_award_id":"61921001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8964103237","display_name":null,"funder_award_id":"2019JJ20022","funder_id":"https://openalex.org/F4320330215","funder_display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330215","display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2063870433","https://openalex.org/W2095485196","https://openalex.org/W2112796928","https://openalex.org/W2118718620","https://openalex.org/W2127952006","https://openalex.org/W2612688942","https://openalex.org/W2740268063","https://openalex.org/W2763413009","https://openalex.org/W2801497650","https://openalex.org/W2810566158","https://openalex.org/W2917550189","https://openalex.org/W2921315797","https://openalex.org/W2970610508","https://openalex.org/W3004603519","https://openalex.org/W3106459670","https://openalex.org/W3180961279","https://openalex.org/W4234992901","https://openalex.org/W6677759377","https://openalex.org/W6685352114","https://openalex.org/W6687484953","https://openalex.org/W6752556356","https://openalex.org/W6753037639"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W2085259108","https://openalex.org/W3181673064","https://openalex.org/W3041320102","https://openalex.org/W2539668349","https://openalex.org/W2386766416"],"abstract_inverted_index":{"Terahertz":[0],"coded":[1,13],"aperture":[2,14],"imaging":[3,9,19,89],"(TCAI)":[4],"is":[5,34,55,73,141],"a":[6,87,110,116],"promising":[7],"radar":[8],"technology":[10],"that":[11],"leverages":[12],"antenna":[15],"to":[16,35,58,143],"achieve":[17,59],"forward-looking":[18],"without":[20],"relying":[21],"on":[22,109],"relative":[23],"motion.":[24],"For":[25],"solving":[26],"the":[27,42,46,60,96,106,124,129,132,135,145,150,154,163,167,172,176,180,186],"target":[28,125,151],"scattering":[29],"coefficient,":[30],"one":[31],"typical":[32],"approach":[33,174],"impose":[36],"generic":[37],"sparsity":[38],"prior":[39,93,197],"constraint":[40],"in":[41,52,128,158],"image":[43],"domain.":[44],"Although":[45],"method":[47],"has":[48],"made":[49],"significant":[50],"progress":[51],"TCAI,":[53],"it":[54,72],"still":[56],"challenging":[57],"high-resolution":[61],"reconstruction":[62],"of":[63,131,171,185],"targets":[64],"with":[65],"different":[66],"sparseness":[67],"under":[68,175],"compression":[69,177],"measurements,":[70],"and":[71,104,114,153,169,182,195],"also":[74],"limited":[75],"by":[76,95,122,147,191],"poor":[77],"noise":[78],"resistance":[79],"performance.":[80],"To":[81],"tackle":[82],"these":[83],"problems,":[84],"we":[85,101],"propose":[86,115],"new":[88],"scheme":[90],"using":[91],"deep":[92,117,136,196],"captured":[94],"generator.":[97,133],"In":[98],"this":[99],"letter,":[100],"first":[102],"analyze":[103],"model":[105,119,146],"system":[107,187],"based":[108],"coherent":[111],"detection":[112],"array":[113,193],"prior-based":[118],"for":[120],"TCAI":[121],"modeling":[123],"as":[126],"being":[127],"range":[130],"Then,":[134],"alternate":[137],"minimization":[138],"(Deep-AM)":[139],"algorithm":[140],"designed":[142],"solve":[144],"projecting":[148],"between":[149],"space":[152,157],"latent":[155],"variable":[156],"an":[159],"alternating":[160],"fashion.":[161],"Finally,":[162],"simulation":[164],"results":[165],"demonstrate":[166],"robustness":[168],"effectiveness":[170],"proposed":[173],"measurements.":[178],"Also,":[179],"acquisition":[181],"coding":[183],"times":[184],"are":[188],"greatly":[189],"reduced":[190],"utilizing":[192],"receiving":[194],"information.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}