{"id":"https://openalex.org/W7154688688","doi":"https://doi.org/10.1109/taes.2026.3685232","title":"G2-SDF: Geometry-Guided Neural Signed Distance Field for Space Target Reconstruction","display_name":"G2-SDF: Geometry-Guided Neural Signed Distance Field for Space Target Reconstruction","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7154688688","doi":"https://doi.org/10.1109/taes.2026.3685232"},"language":null,"primary_location":{"id":"doi:10.1109/taes.2026.3685232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2026.3685232","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5106716139","display_name":"Pengling Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengling Tang","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), College of Future Information Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-1536-4826","affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), College of Future Information Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124734934","display_name":"Z J Li","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zifei Li","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), College of Future Information Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0000-3897-8950","affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), College of Future Information Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133881267","display_name":"Yifan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Chen","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), College of Future Information Technology, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), College of Future Information Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133863645","display_name":"Dou Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dou Sun","raw_affiliation_strings":["Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133856152","display_name":"Feng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), College of Future Information Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2378-9126","affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), College of Future Information Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015791511","display_name":"Ya\u2010Qiu Jin","orcid":"https://orcid.org/0000-0001-6666-9151"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya-Qiu Jin","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), College of Future Information Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6666-9151","affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), College of Future Information Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56894042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"10033","last_page":"10046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.08760000020265579,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.08760000020265579,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.050700001418590546,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.03590000048279762,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4388999938964844},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4120999872684479},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.39419999718666077},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.36160001158714294},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.34880000352859497},{"id":"https://openalex.org/keywords/distance-measurement","display_name":"Distance measurement","score":0.3375000059604645},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.3237000107765198}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5357000231742859},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47350001335144043},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4388999938964844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43459999561309814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42730000615119934},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.39419999718666077},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.36160001158714294},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.34880000352859497},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.33239999413490295},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.3237000107765198},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.30399999022483826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2978000044822693},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29280000925064087},{"id":"https://openalex.org/C139931591","wikidata":"https://www.wikidata.org/wiki/Q1029151","display_name":"Pulse-Doppler radar","level":4,"score":0.26910001039505005},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C2988922011","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering theory","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2026.3685232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2026.3685232","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6325519619","display_name":"\u5229\u7528\u6563\u5c04\u673a\u5236\u5173\u8054\u7684\u7a7a\u95f4\u76ee\u6807ISAR\u6210\u50cf\u591a\u89c6\u5339\u914d\u53ca\u4e09\u7ef4\u91cd\u6784","funder_award_id":"61901122","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,25,71,127,142,181],"three-dimensional":[1],"(3D)":[2],"reconstruction":[3,33,59],"of":[4,27,74,124,192,211],"a":[5,57,99,133],"space":[6,62],"target":[7,109,194],"using":[8,64,132],"inverse":[9],"synthetic":[10],"aperture":[11],"radar":[12],"(ISAR)":[13],"images":[14,85,113,207],"often":[15],"requires":[16],"feature":[17,28,45],"extraction":[18,29,46],"and":[19,47,68,86,111,154],"is":[20,104,130,169,216],"susceptible":[21],"to":[22,106,120],"shadowing":[23,36,53,81,115,146,183],"effect.":[24],"accuracy":[26],"directly":[30],"affects":[31],"the":[32,49,75,80,88,93,108,121,137,150,158,166,173,177,186,189,193,209,212],"quality,":[34],"whereas":[35],"effect":[37,82,116,147,184],"can":[38],"result":[39],"in":[40,83,195],"incomplete":[41],"reconstruction.":[42,202],"To":[43,96],"avoid":[44],"address":[48],"problem":[50],"caused":[51],"by":[52,171],"effect,":[54],"we":[55],"propose":[56],"3D":[58,200],"method":[60,77],"for":[61],"targets":[63],"forward":[65],"differentiable":[66],"rendering":[67,128],"backward":[69],"optimization.":[70],"key":[72],"point":[73],"proposed":[76,213],"involves":[78],"simulating":[79],"rendered":[84,159,174],"treating":[87],"observed":[89,178],"ISAR":[90,125,179,196],"image":[91,139,160,175],"as":[92,140],"ground":[94],"truth.":[95],"achieve":[97],"it,":[98],"signed":[100],"distance":[101],"field":[102],"(SDF)":[103],"used":[105],"represent":[107],"model":[110,201],"shading":[112,138],"with":[114,136,176],"are":[117],"generated":[118],"according":[119],"physical":[122],"principles":[123],"imaging.":[126],"process":[129],"implemented":[131],"neural":[134,151],"network":[135,152],"input.":[141],"results":[143],"demonstrate":[144,208],"effective":[145],"transfer":[148],"between":[149],"input":[153],"output,":[155],"ensuring":[156],"that":[157],"retains":[161],"realistic":[162],"shadowing.":[163],"During":[164],"optimization,":[165],"loss":[167],"function":[168],"constructed":[170],"comparing":[172],"image.":[180],"simulated":[182,206],"relaxes":[185],"constraints":[187],"on":[188,205],"invisible":[190],"part":[191],"images,":[197],"enabling":[198],"complete":[199],"Experiments":[203],"based":[204],"effectiveness":[210],"method.":[214],"Code":[215],"provided":[217],"at":[218],"<uri":[219],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[220],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Tangpl0066/G2-SDF</uri>.":[221]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-18T00:00:00"}