{"id":"https://openalex.org/W4402260058","doi":"https://doi.org/10.1109/igarss53475.2024.10641210","title":"Space Target Recognition Based on RCS Feature Extraction Using Relative Position Matrix","display_name":"Space Target Recognition Based on RCS Feature Extraction Using Relative Position Matrix","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260058","doi":"https://doi.org/10.1109/igarss53475.2024.10641210"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5108312510","display_name":"Yaobin Zhu","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":true,"raw_author_name":"Yaobin Zhu","raw_affiliation_strings":["Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103065258","display_name":"Zhifeng Wu","orcid":"https://orcid.org/0000-0003-2707-6171"},"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":"Zhifeng Wu","raw_affiliation_strings":["Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674256","display_name":"Yanbing Wang","orcid":"https://orcid.org/0000-0002-5670-9620"},"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":"Yanbing Wang","raw_affiliation_strings":["Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100669010","display_name":"Feng Wang","orcid":"https://orcid.org/0000-0002-2378-9126"},"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":["Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108312510"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":4.5143,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.93876953,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"9596","last_page":"9599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9947999715805054,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9947999715805054,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9939000010490417,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9887999892234802,"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/feature-extraction","display_name":"Feature extraction","score":0.6762410402297974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6064713597297668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.596676230430603},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5965735912322998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5774329900741577},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.456802099943161},{"id":"https://openalex.org/keywords/matrix-algebra","display_name":"Matrix algebra","score":0.4544544219970703},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4501285254955292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4472344219684601},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4464240074157715},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4263862073421478},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17086777091026306},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13776347041130066},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.06381765007972717}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6762410402297974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6064713597297668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.596676230430603},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5965735912322998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5774329900741577},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.456802099943161},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.4544544219970703},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4501285254955292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4472344219684601},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4464240074157715},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4263862073421478},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17086777091026306},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13776347041130066},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.06381765007972717},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":11,"referenced_works":["https://openalex.org/W1491931038","https://openalex.org/W1972873298","https://openalex.org/W2149072817","https://openalex.org/W2510850936","https://openalex.org/W2952352769","https://openalex.org/W2957484200","https://openalex.org/W4285278796","https://openalex.org/W4308691351","https://openalex.org/W4312443924","https://openalex.org/W4376608006","https://openalex.org/W4387802671"],"related_works":["https://openalex.org/W2377297411","https://openalex.org/W3148217948","https://openalex.org/W2375788636","https://openalex.org/W2358561207","https://openalex.org/W2388704129","https://openalex.org/W2392827053","https://openalex.org/W2975617233","https://openalex.org/W2377877252","https://openalex.org/W2362914816","https://openalex.org/W2372644337"],"abstract_inverted_index":{"Space":[0],"target":[1],"recognition":[2],"plays":[3],"a":[4,25,56,62],"crucial":[5],"role":[6],"in":[7,12,86],"ballistic":[8],"missile":[9],"interception,":[10],"especially":[11],"the":[13,50,69,80],"vital":[14],"task":[15],"of":[16],"distinguishing":[17],"between":[18],"warheads":[19],"and":[20,60],"decoys.":[21],"This":[22],"paper":[23],"proposes":[24],"method":[26,82],"to":[27,67,72],"transform":[28],"one-dimensional":[29],"(1D)":[30],"radar":[31],"cross":[32],"section":[33],"(RCS)":[34],"series":[35],"into":[36],"two-dimensional":[37],"(2D)":[38],"images":[39],"by":[40,54],"utilizing":[41],"global":[42],"information":[43],"through":[44],"Relative":[45],"Position":[46],"Matrix":[47],"(RPM).":[48],"Additionally,":[49],"ConvNeXt":[51],"is":[52],"enhanced":[53],"incorporating":[55],"random":[57],"noise":[58,63],"module":[59],"introducing":[61],"reduction":[64],"self-coding":[65],"layer":[66],"bolster":[68],"model's":[70],"resistance":[71],"signal":[73],"interference.":[74],"The":[75],"experimental":[76],"results":[77],"indicate":[78],"that":[79],"proposed":[81],"achieves":[83],"high":[84],"accuracy":[85],"recognizing":[87],"missiles.":[88]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}