{"id":"https://openalex.org/W4321021532","doi":"https://doi.org/10.1109/tgrs.2023.3245610","title":"Multiple-Space Deep Learning Schemes for Inverse Scattering Problems","display_name":"Multiple-Space Deep Learning Schemes for Inverse Scattering Problems","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321021532","doi":"https://doi.org/10.1109/tgrs.2023.3245610"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3245610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3245610","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":["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/A5100706499","display_name":"Yusong Wang","orcid":"https://orcid.org/0000-0002-9772-6400"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yusong Wang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101460179","display_name":"Zheng Zong","orcid":"https://orcid.org/0000-0002-3516-0261"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zong","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101559986","display_name":"Siyuan He","orcid":"https://orcid.org/0000-0002-9393-9812"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan He","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074289048","display_name":"Zhun Wei","orcid":"https://orcid.org/0000-0002-8699-3749"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhun Wei","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100706499"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.2697,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87141937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":1.0,"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":1.0,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6866703033447266},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6691080927848816},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.6248427629470825},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5725727081298828},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5059284567832947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4549434185028076},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4264041781425476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39978212118148804},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3791698217391968},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30964046716690063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20706263184547424}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866703033447266},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6691080927848816},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.6248427629470825},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5725727081298828},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5059284567832947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4549434185028076},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4264041781425476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39978212118148804},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3791698217391968},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30964046716690063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20706263184547424},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3245610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3245610","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G8554226081","display_name":null,"funder_award_id":"62101484","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":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1005811612","https://openalex.org/W1976167032","https://openalex.org/W1983322501","https://openalex.org/W1993854684","https://openalex.org/W2018446638","https://openalex.org/W2035489376","https://openalex.org/W2087077577","https://openalex.org/W2094322451","https://openalex.org/W2100737159","https://openalex.org/W2103662688","https://openalex.org/W2130129917","https://openalex.org/W2143368686","https://openalex.org/W2144559213","https://openalex.org/W2154741022","https://openalex.org/W2560757865","https://openalex.org/W2600813604","https://openalex.org/W2607406448","https://openalex.org/W2793055587","https://openalex.org/W2800441593","https://openalex.org/W2894120608","https://openalex.org/W2899140718","https://openalex.org/W2910112947","https://openalex.org/W2918772560","https://openalex.org/W2944721402","https://openalex.org/W2949076167","https://openalex.org/W2955306557","https://openalex.org/W2964269625","https://openalex.org/W2973515967","https://openalex.org/W2981014499","https://openalex.org/W2982501796","https://openalex.org/W2991585123","https://openalex.org/W2991684829","https://openalex.org/W3004529301","https://openalex.org/W3036434742","https://openalex.org/W3042203856","https://openalex.org/W3052504973","https://openalex.org/W3094168259","https://openalex.org/W3095789214","https://openalex.org/W3096535643","https://openalex.org/W3101307361","https://openalex.org/W3101765447","https://openalex.org/W3109385692","https://openalex.org/W3111622548","https://openalex.org/W3188571984","https://openalex.org/W4200227946","https://openalex.org/W4213042178","https://openalex.org/W4226337946","https://openalex.org/W4308686586"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1980381208","https://openalex.org/W1868434454","https://openalex.org/W4366985237","https://openalex.org/W2810569973","https://openalex.org/W2128396103","https://openalex.org/W4366984740"],"abstract_inverted_index":{"Recently,":[0],"deep":[1,37],"learning":[2,14,38],"methods":[3],"have":[4,125],"made":[5],"significant":[6],"success":[7],"in":[8,18,30,53,70,77],"inverse":[9,143],"scattering":[10],"problems":[11,144],"(ISPs).":[12],"However,":[13],"approaches":[15],"that":[16,51,122,134],"work":[17,80],"different":[19,78],"spaces,":[20],"such":[21],"as":[22],"frequency":[23],"and":[24,43,67,94,119],"real":[25],"space,":[26],"are":[27,46,62,105],"seldom":[28],"explored":[29],"solving":[31],"ISPs.":[32],"In":[33],"this":[34],"work,":[35],"multiple-space":[36,89,149],"schemes":[39,137],"(MSDLSs)":[40],"incorporating":[41],"frequency-space":[42,66],"real-space":[44,68],"processing":[45],"studied.":[47],"Specifically,":[48],"a":[49,71,97,126],"network":[50],"works":[52],"low-frequency":[54],"subspace":[55],"is":[56,100,115,132,151],"first":[57],"introduced.":[58],"Then,":[59],"serial":[60,72],"MSDLSs":[61,104,124],"introduced":[63],"by":[64,117],"combining":[65],"networks":[69,76],"way":[73],"to":[74,83],"enable":[75,85],"spaces":[79],"complementarily.":[81],"Finally,":[82],"further":[84],"dynamic":[86],"interaction":[87],"between":[88],"information":[90,150],"during":[91],"both":[92],"training":[93],"testing":[95],"stages,":[96],"parallel":[98],"MSDLS":[99],"proposed.":[101],"The":[102],"proposed":[103,136],"presented":[106],"under":[107],"the":[108,123,135],"framework":[109],"of":[110,148],"backpropagation":[111],"scheme":[112],"(BPS).":[113],"It":[114,131],"shown":[116],"synthetic":[118],"experimental":[120],"tests":[121],"consistent":[127],"improvement":[128],"over":[129],"BPS.":[130],"expected":[133],"will":[138],"find":[139],"applications":[140],"on":[141],"other":[142],"where":[145],"an":[146],"incorporation":[147],"needed.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}