{"id":"https://openalex.org/W4402261480","doi":"https://doi.org/10.1109/igarss53475.2024.10640837","title":"High-Resolution Radar Image Fast Imaging Formula and Simulation","display_name":"High-Resolution Radar Image Fast Imaging Formula and Simulation","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261480","doi":"https://doi.org/10.1109/igarss53475.2024.10640837"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640837","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/A5080780216","display_name":"Zhixin Wu","orcid":"https://orcid.org/0009-0009-4303-2153"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixin Wu","raw_affiliation_strings":["Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043211178","display_name":"Yuexin Gao","orcid":"https://orcid.org/0000-0002-6371-7581"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexin Gao","raw_affiliation_strings":["Xidian University,School of Aerospace Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Aerospace Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060130606","display_name":"Jixiang Fu","orcid":"https://orcid.org/0000-0003-1301-6709"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixiang Fu","raw_affiliation_strings":["Xidian University,Academy of Advanced Interdisciplinary Research,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,Academy of Advanced Interdisciplinary Research,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102871604","display_name":"Min Xue","orcid":"https://orcid.org/0000-0001-6577-1082"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Xue","raw_affiliation_strings":["Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021408538","display_name":"Mengdao Xing","orcid":"https://orcid.org/0000-0002-4084-0915"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengdao Xing","raw_affiliation_strings":["Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87317204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2597","last_page":"2600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9973999857902527,"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/radar-imaging","display_name":"Radar imaging","score":0.7712697982788086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6264480352401733},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5365524291992188},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46492934226989746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46157559752464294},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4536702632904053},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4308074116706848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.417207270860672},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4138370752334595},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24187827110290527},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10338619351387024}],"concepts":[{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.7712697982788086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6264480352401733},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5365524291992188},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46492934226989746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46157559752464294},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4536702632904053},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4308074116706848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.417207270860672},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4138370752334595},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24187827110290527},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10338619351387024}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640837","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":[{"id":"https://metadata.un.org/sdg/7","score":0.46000000834465027,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2029751976","https://openalex.org/W3038113894","https://openalex.org/W3200658434","https://openalex.org/W4211115857","https://openalex.org/W4285133126"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W2362774332","https://openalex.org/W1552305638","https://openalex.org/W4249245269","https://openalex.org/W2112228652","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W1994788526","https://openalex.org/W2011609146"],"abstract_inverted_index":{"The":[0,28,101],"Fast-Imaging":[1],"Formula":[2,16],"(FIF)":[3],"enables":[4],"rapid":[5],"radar":[6,35],"image":[7,94,99],"simulation":[8,102],"through":[9],"One-Shot":[10],"ray-tracing.":[11],"However,":[12],"the":[13,21,47,56,60,65,75,82,87,93,105,110,115,119,122],"classical":[14],"Imaging":[15],"is":[17,37,72,77,89],"approximate":[18],"results":[19,103],"under":[20],"conditions":[22],"of":[23,30,50,84,104,114,121],"small":[24],"angle":[25],"and":[26,74,109],"bandwidth.":[27],"application":[29],"FIF":[31],"to":[32,39,81,91],"wideband":[33],"high-resolution":[34,98],"images":[36],"subject":[38],"discussion.":[40],"This":[41],"study":[42],"constructs":[43],"simulations":[44],"by":[45],"employing":[46],"'6+6'":[48],"Degrees":[49],"Freedom":[51],"(DoF)":[52],"motion":[53],"model,":[54],"determining":[55],"imaging":[57],"plane.":[58],"Utilizing":[59],"Discrete":[61],"Fourier":[62],"Transform":[63],"(DFT),":[64],"range":[66,111],"profile":[67,112],"formula":[68],"for":[69,97],"large":[70],"bandwidth":[71],"obtained,":[73],"result":[76],"frequency":[78],"dependent.":[79],"According":[80],"principle":[83],"spectrum":[85],"correction,":[86],"integration":[88],"modified":[90],"obtain":[92],"primitive":[95],"suitable":[96],"simulation.":[100],"ship":[106],"target":[107],"model":[108],"analysis":[113],"ray":[116],"tube":[117],"verify":[118],"effectiveness":[120],"proposed":[123],"method.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
