{"id":"https://openalex.org/W4385194620","doi":"https://doi.org/10.1109/tgrs.2023.3298067","title":"RaNeRF: Neural 3-D Reconstruction of Space Targets From ISAR Image Sequences","display_name":"RaNeRF: Neural 3-D Reconstruction of Space Targets From ISAR Image Sequences","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385194620","doi":"https://doi.org/10.1109/tgrs.2023.3298067"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3298067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3298067","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/A5019847309","display_name":"Afei Liu","orcid":"https://orcid.org/0000-0002-2666-9402"},"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":"Afei Liu","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2666-9402","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/A5018019726","display_name":"Shuanghui Zhang","orcid":"https://orcid.org/0000-0002-7496-5433"},"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":"Shuanghui Zhang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7496-5433","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/A5100610538","display_name":"Chi Zhang","orcid":"https://orcid.org/0000-0002-0218-0055"},"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":"Chi Zhang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0218-0055","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/A5057291583","display_name":"Shuaifeng Zhi","orcid":"https://orcid.org/0000-0002-5927-5426"},"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":"Shuaifeng Zhi","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5927-5426","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/A5100331131","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0003-4383-6505"},"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":"Xiang Li","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4383-6505","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":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":25.774,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.99412045,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.8272178173065186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7789194583892822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7429370880126953},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6465177536010742},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5199821591377258},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.45564302802085876},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4449736177921295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38240694999694824},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3502718210220337}],"concepts":[{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.8272178173065186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7789194583892822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429370880126953},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6465177536010742},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5199821591377258},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.45564302802085876},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4449736177921295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38240694999694824},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3502718210220337},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3298067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3298067","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G5025625343","display_name":null,"funder_award_id":"62201603","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/G7799070190","display_name":null,"funder_award_id":"ZK22-04","funder_id":"https://openalex.org/F4320324150","funder_display_name":"National University of Defense Technology"},{"id":"https://openalex.org/G8752154792","display_name":null,"funder_award_id":"62171448","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"},{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1588466354","https://openalex.org/W1964855131","https://openalex.org/W1997122422","https://openalex.org/W2010560014","https://openalex.org/W2029739823","https://openalex.org/W2049981393","https://openalex.org/W2112924880","https://openalex.org/W2114755279","https://openalex.org/W2125856058","https://openalex.org/W2133804411","https://openalex.org/W2137302695","https://openalex.org/W2152195021","https://openalex.org/W2278462206","https://openalex.org/W2350274215","https://openalex.org/W2374825355","https://openalex.org/W2576286517","https://openalex.org/W2774958009","https://openalex.org/W2810303591","https://openalex.org/W2883366381","https://openalex.org/W2947666154","https://openalex.org/W2962778872","https://openalex.org/W2995445161","https://openalex.org/W3006620648","https://openalex.org/W3012172214","https://openalex.org/W3021491184","https://openalex.org/W3040246166","https://openalex.org/W3092948912","https://openalex.org/W3101323913","https://openalex.org/W3109585842","https://openalex.org/W3126451592","https://openalex.org/W3176368002","https://openalex.org/W3177583232","https://openalex.org/W3202273022","https://openalex.org/W3202343472","https://openalex.org/W3210613940","https://openalex.org/W4233857083","https://openalex.org/W4285731280","https://openalex.org/W4312280420","https://openalex.org/W4312588616","https://openalex.org/W4312625718","https://openalex.org/W4312713450","https://openalex.org/W4319585974","https://openalex.org/W6631190155","https://openalex.org/W6732325671","https://openalex.org/W6784492152","https://openalex.org/W6840682639"],"related_works":["https://openalex.org/W2996630340","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2545123933","https://openalex.org/W2031673444","https://openalex.org/W1994788526","https://openalex.org/W1915418828","https://openalex.org/W2613451563"],"abstract_inverted_index":{"Compared":[0,219],"to":[1,28,50,60,130,220],"2D":[2,122],"inverse":[3],"synthetic":[4],"aperture":[5],"radar":[6,46,70],"(ISAR)":[7],"images":[8,124,155,243],"of":[9,32,40,53,93,103,125,134,150,169,195,203,215],"a":[10,78,94,99,110,157,184],"space":[11,41,104],"target,":[12],"its":[13],"3D":[14,38,80,91,119,162,166,193],"model":[15,168,239],"can":[16,140,172,189,240,249],"provide":[17],"adequate":[18],"details":[19],"and":[20,35,106,121,152,201,209,233,258],"accurate":[21],"measurement":[22],"parameters.":[23],"However,":[24],"it":[25],"is":[26,77,96,128,230],"challenging":[27],"tackle":[29],"the":[30,90,115,118,126,145,148,165,170,176,186,192,213,216,237],"problem":[31],"feature":[33,199],"extraction":[34,200],"correlation":[36,202],"during":[37],"reconstruction":[39,81],"targets":[42,196],"purely":[43,158],"based":[44],"on":[45],"image":[47,87,205],"sequences,":[48],"due":[49],"their":[51],"lack":[52],"clear":[54],"evidence":[55],"in":[56,156],"imaging":[57],"similarity":[58],"compared":[59],"optical":[61],"images.":[62,136],"To":[63],"address":[64],"this":[65,67],"problem,":[66],"paper":[68],"proposes":[69],"neural":[71],"radiance":[72],"fields":[73],"(i.e.":[74],"RaNeRF),":[75],"which":[76,248],"novel":[79,245],"method":[82],"using":[83,109,144,224],"only":[84],"observed":[85,153],"ISAR":[86,123,135,154,204,242],"sequences.":[88,206],"Firstly,":[89],"structure":[92,120,194,229],"target":[95,127,171,259],"represented":[97],"as":[98],"continuous":[100],"6D":[101],"function":[102],"positions":[105],"viewing":[107],"directions":[108],"fully-connected":[111],"deep":[112],"network.":[113],"Secondly,":[114],"relationship":[116],"between":[117,147],"constructed":[129],"enable":[131],"differential":[132],"rendering":[133],"Our":[137],"overall":[138],"pipeline":[139],"thus":[141],"be":[142,173,250],"trained":[143],"discrepancy":[146],"modulus":[149],"rendered":[151],"self-supervised":[159],"manner":[160],"without":[161,197],"supervision.":[163],"Finally,":[164],"mesh":[167],"retrieved":[174],"from":[175],"learned":[177],"density":[178],"field":[179],"via":[180],"marching":[181],"cube.":[182],"As":[183],"result,":[185],"proposed":[187,217],"RaNeRF":[188],"directly":[190],"reconstruct":[191],"explicit":[198],"Both":[207],"quantitative":[208],"qualitative":[210],"results":[211],"verify":[212],"effectiveness":[214],"method.":[218],"conventional":[221],"baseline":[222],"methods":[223],"point":[225],"clouds,":[226],"our":[227],"reconstructed":[228],"more":[231],"complete":[232],"accurate.":[234],"In":[235],"addition,":[236],"optimized":[238],"synthesize":[241],"at":[244],"observation":[246],"direction,":[247],"used":[251],"for":[252],"downstream":[253],"tasks":[254],"including":[255],"data":[256],"augmentation":[257],"recognition.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}