{"id":"https://openalex.org/W4417170749","doi":"https://doi.org/10.1109/tgrs.2025.3609332","title":"Quality-Factor-Inspired Deep Neural Network Solver for Solving Inverse Scattering Problems","display_name":"Quality-Factor-Inspired Deep Neural Network Solver for Solving Inverse Scattering Problems","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4417170749","doi":"https://doi.org/10.1109/tgrs.2025.3609332"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3609332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3609332","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2504.20504","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yutong Du","orcid":"https://orcid.org/0009-0002-8358-4672"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Du","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0002-8358-4672","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091768091","display_name":"Zicheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zicheng Liu","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-3118-9876","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Miao Cao","orcid":"https://orcid.org/0009-0003-1949-4776"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Cao","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0003-1949-4776","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100309809","display_name":"Zupeng Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zupeng Liang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0001-8926-2597","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015797840","display_name":"Yali Zong","orcid":"https://orcid.org/0000-0002-0471-3919"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yali Zong","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-0471-3919","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101660725","display_name":"Changyou Li","orcid":"https://orcid.org/0000-0001-8140-3685"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyou Li","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-8140-3685","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.4225,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66441757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.973800003528595,"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":0.973800003528595,"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/T10739","display_name":"Electromagnetic Scattering and Analysis","score":0.009700000286102295,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6434000134468079},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.6171000003814697},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6057000160217285},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5891000032424927},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5202999711036682},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.49219998717308044},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4885999858379364},{"id":"https://openalex.org/keywords/inverse-scattering-problem","display_name":"Inverse scattering problem","score":0.445499986410141},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.3882000148296356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6883999705314636},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6434000134468079},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6171000003814697},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6057000160217285},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5891000032424927},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5202999711036682},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.517799973487854},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.49219998717308044},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4885999858379364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4661000072956085},{"id":"https://openalex.org/C174558057","wikidata":"https://www.wikidata.org/wiki/Q11639409","display_name":"Inverse scattering problem","level":3,"score":0.445499986410141},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3882000148296356},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3499000072479248},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.3034000098705292},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C2779885931","wikidata":"https://www.wikidata.org/wiki/Q17010029","display_name":"Microwave imaging","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28220000863075256},{"id":"https://openalex.org/C3019612716","wikidata":"https://www.wikidata.org/wiki/Q730920","display_name":"Problem solver","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.25220000743865967},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tgrs.2025.3609332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3609332","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2504.20504","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.20504","pdf_url":"https://arxiv.org/pdf/2504.20504","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:doi:10.48550/arxiv.2504.20504","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2504.20504","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2504.20504","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2504.20504","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.20504","pdf_url":"https://arxiv.org/pdf/2504.20504","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7251969922","display_name":null,"funder_award_id":"62201469","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417170749.pdf","grobid_xml":"https://content.openalex.org/works/W4417170749.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W2800441593","https://openalex.org/W3208828439","https://openalex.org/W3215494556","https://openalex.org/W4403123145","https://openalex.org/W2082205811","https://openalex.org/W2016190564","https://openalex.org/W2083633581","https://openalex.org/W2333425423","https://openalex.org/W2087077577","https://openalex.org/W2018446638","https://openalex.org/W1965406068","https://openalex.org/W2066405413","https://openalex.org/W1976167032","https://openalex.org/W1970543875","https://openalex.org/W2021304998","https://openalex.org/W2081260405","https://openalex.org/W1993854684","https://openalex.org/W2003147468","https://openalex.org/W2091634210","https://openalex.org/W2143368686","https://openalex.org/W2112957617","https://openalex.org/W1983322501","https://openalex.org/W2039351449","https://openalex.org/W2035489376","https://openalex.org/W1990609881","https://openalex.org/W2136436000","https://openalex.org/W2964269625","https://openalex.org/W2894120608","https://openalex.org/W4323059357","https://openalex.org/W4385731840","https://openalex.org/W4306920631","https://openalex.org/W4402741310","https://openalex.org/W4321599078","https://openalex.org/W2955306557","https://openalex.org/W4282813471","https://openalex.org/W3213617035","https://openalex.org/W4382657776","https://openalex.org/W4322490774","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W1901129140","https://openalex.org/W2136872537","https://openalex.org/W1963573486","https://openalex.org/W1847038087","https://openalex.org/W2009024613","https://openalex.org/W2005490094","https://openalex.org/W2103559027","https://openalex.org/W2112796928","https://openalex.org/W2088440114","https://openalex.org/W2094322451"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"have":[4],"been":[5],"applied":[6,32],"to":[7,76,101,116],"address":[8],"electromagnetic":[9],"inverse":[10],"scattering":[11],"problems":[12],"(ISPs)":[13],"and":[14,30,43,72,90,99,106,127],"shown":[15],"superior":[16],"imaging":[17,129,136],"performances,":[18],"which":[19],"can":[20],"be":[21],"affected":[22],"by":[23,45,134],"the":[24,27,31,36,46,52,55,58,69,91,95,103,108,118,121,128],"training":[25,59],"dataset,":[26],"network":[28,64],"architecture,":[29],"loss":[33,81],"function.":[34],"Here,":[35],"quality":[37,48,53],"of":[38,57,94,120],"data":[39],"samples":[40],"is":[41,61,66,97,131],"concerned":[42],"valued":[44],"defined":[47],"factor.":[49],"Based":[50],"on":[51],"factor,":[54],"composition":[56],"dataset":[60],"optimized.":[62],"The":[63],"architecture":[65],"integrated":[67],"with":[68],"residual":[70],"connections":[71],"channel":[73],"attention":[74],"mechanism":[75],"improve":[77,107],"feature":[78,93],"extraction.":[79],"A":[80],"function":[82],"that":[83],"incorporates":[84],"data-fitting":[85],"error,":[86],"physical":[87],"information":[88],"constraints,":[89],"desired":[92],"solution":[96],"designed":[98],"analyzed":[100],"suppress":[102],"background":[104],"artifacts":[105],"reconstruction":[109],"accuracy.":[110],"Various":[111],"numerical":[112],"analyses":[113],"are":[114],"performed":[115],"demonstrate":[117],"superiority":[119],"proposed":[122],"quality-factor-inspired":[123],"DNN":[124],"(QuaDNN)":[125],"solver,":[126],"performance":[130],"finally":[132],"verified":[133],"experimental":[135],"tests.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-12T07:33:03.550515","created_date":"2025-10-10T00:00:00"}