{"id":"https://openalex.org/W4387802418","doi":"https://doi.org/10.1109/igarss52108.2023.10282080","title":"A 3-D Imaging Method Of Building With Tomosar Based On DUADMM-Net","display_name":"A 3-D Imaging Method Of Building With Tomosar Based On DUADMM-Net","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802418","doi":"https://doi.org/10.1109/igarss52108.2023.10282080"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5108355273","display_name":"Rong Shen","orcid":"https://orcid.org/0000-0002-2620-1439"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Shen","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080246113","display_name":"Shunjun Wei","orcid":"https://orcid.org/0000-0001-8091-9540"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunjun Wei","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078388848","display_name":"Yanbo Wen","orcid":"https://orcid.org/0009-0006-8425-7314"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbo Wen","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066834799","display_name":"Jun Shi","orcid":"https://orcid.org/0000-0001-7676-8380"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Shi","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385993","display_name":"Xiaoling Zhang","orcid":"https://orcid.org/0000-0003-2343-3055"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R.China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R.China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.8706,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91234581,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7933","last_page":"7936"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994999766349792,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6972814798355103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6162256002426147},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4898214042186737},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4771099388599396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4435039162635803},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.41272664070129395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3383830189704895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6972814798355103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6162256002426147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4898214042186737},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4771099388599396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4435039162635803},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.41272664070129395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3383830189704895},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2063826668","https://openalex.org/W2996630979","https://openalex.org/W3020124972","https://openalex.org/W3024890996","https://openalex.org/W3080378341","https://openalex.org/W3087367775","https://openalex.org/W3097655842","https://openalex.org/W3118705928","https://openalex.org/W3198675841","https://openalex.org/W4297801963","https://openalex.org/W4303453033","https://openalex.org/W4312749173","https://openalex.org/W4366310493","https://openalex.org/W6638670064"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4375867731","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2611989081","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378"],"abstract_inverted_index":{"Tomographic":[0],"SAR":[1],"(TomoSAR)":[2],"can":[3,33],"achieve":[4,34,83],"3-D":[5,25],"imaging":[6,31,36,58,119,123],"for":[7],"observation":[8],"targets":[9],"through":[10],"tomographic":[11],"synthetic":[12],"aperture,":[13],"and":[14,23,41,60,72,97,110,125,131],"shows":[15],"good":[16],"characteristics":[17],"in":[18,50,55],"urban":[19],"building":[20],"information":[21],"extraction":[22],"scene":[24],"inversion.":[26],"Though":[27],"the":[28,57,68,107,116,121,129],"existing":[29],"CS-based":[30,69],"algorithms":[32],"high-resolution":[35,84],"results,":[37],"requiring":[38],"multiple":[39],"iterations":[40],"manual":[42],"adjustment":[43],"of":[44,89,103,133],"hyper-parameters.":[45],"Currently,":[46],"deep":[47,64,76],"learning":[48,108],"techniques":[49],"TomoSAR":[51,85],"show":[52],"great":[53],"advantages":[54],"improving":[56],"accuracy":[59],"efficiency.":[61],"Inspired":[62],"by":[63],"unfolding,":[65],"we":[66],"unfolded":[67,77],"ADMM":[70],"algorithm":[71],"mapped":[73],"it":[74],"into":[75],"ADMM-net":[78],"(DUADMM-net),":[79],"so":[80],"as":[81],"to":[82,115],"imaging.":[86],"DUADMM-net":[87],"consists":[88],"reconstructed":[90],"signal":[91],"estimation":[92],"module,":[93],"nonlinear":[94,111],"fitting":[95,112],"module":[96],"multiplier":[98],"update":[99],"module.":[100],"The":[101],"introduction":[102],"convolutional":[104],"layers":[105],"enhances":[106],"ability":[109],"ability.":[113],"Compared":[114],"conventional":[117],"sparse":[118],"algorithms,":[120],"experimental":[122],"results":[124],"quantitative":[126],"indicators":[127],"demonstrate":[128],"effectiveness":[130],"efficiency":[132],"DUADMM-net.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
