{"id":"https://openalex.org/W4387801732","doi":"https://doi.org/10.1109/igarss52108.2023.10282425","title":"Multi-Subaperture Interference for SAR Autofocusing","display_name":"Multi-Subaperture Interference for SAR Autofocusing","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387801732","doi":"https://doi.org/10.1109/igarss52108.2023.10282425"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282425","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 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/A5060946821","display_name":"Chi He","orcid":"https://orcid.org/0000-0001-6403-1277"},"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":true,"raw_author_name":"Chi He","raw_affiliation_strings":["Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078967068","display_name":"Yuhui Deng","orcid":"https://orcid.org/0000-0001-5927-9905"},"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":"Yuhui Deng","raw_affiliation_strings":["Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076178410","display_name":"Guang\u2010Cai Sun","orcid":"https://orcid.org/0000-0002-6482-0863"},"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":"Guang-Cai Sun","raw_affiliation_strings":["Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China,710071","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,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060946821"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06628935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4536","last_page":"4539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autofocus","display_name":"Autofocus","score":0.9907034039497375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7666616439819336},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6924624443054199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6630566120147705},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6293582320213318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5695793628692627},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5585696697235107},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4154914319515228},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.36444705724716187},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.25064635276794434},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.13250663876533508},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12013071775436401},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07732486724853516}],"concepts":[{"id":"https://openalex.org/C103764139","wikidata":"https://www.wikidata.org/wiki/Q210008","display_name":"Autofocus","level":3,"score":0.9907034039497375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666616439819336},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6924624443054199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6630566120147705},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6293582320213318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5695793628692627},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5585696697235107},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4154914319515228},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.36444705724716187},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.25064635276794434},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.13250663876533508},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12013071775436401},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07732486724853516},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282425","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2075418485","https://openalex.org/W2110965352","https://openalex.org/W2467463267","https://openalex.org/W2527747031","https://openalex.org/W2912838597","https://openalex.org/W2972688438","https://openalex.org/W3157655355","https://openalex.org/W3198481718","https://openalex.org/W3202470209"],"related_works":["https://openalex.org/W1573254389","https://openalex.org/W1891451863","https://openalex.org/W2735068163","https://openalex.org/W2107730478","https://openalex.org/W2153731056","https://openalex.org/W2745287773","https://openalex.org/W2140944036","https://openalex.org/W2758780897","https://openalex.org/W1777074644","https://openalex.org/W2128890580"],"abstract_inverted_index":{"Due":[0],"to":[1,22],"the":[2,6,40,68,72,90,114,119],"unsteady":[3],"motion":[4,18,27],"of":[5,62,78,118],"platform,":[7],"airborne":[8],"synthetic":[9],"aperture":[10],"radar":[11],"(SAR)":[12],"images":[13],"are":[14,35],"easily":[15],"smeared":[16],"by":[17,100],"errors.":[19],"In":[20],"order":[21],"obtain":[23],"a":[24,46],"well-focused":[25],"image,":[26],"error":[28,80,97,103],"compensation":[29],"is":[30,55,65],"essential":[31],"and":[32,105,116],"autofocus":[33,44,49,69],"methods":[34],"used":[36],"widely.":[37],"Different":[38],"from":[39],"conventional":[41,109],"\"indirect":[42],"estimation\"":[43,48],"methods,":[45],"\"direct":[47],"method":[50,70,95],"based":[51],"on":[52],"multi-subaperture":[53,86],"interference":[54,64,87],"proposed":[56,120],"in":[57,108],"this":[58],"paper.":[59],"The":[60,75],"concept":[61],"image":[63],"introduced":[66],"into":[67],"for":[71],"first":[73],"time.":[74],"constant":[76],"term":[77],"phase":[79,102],"can":[81],"be":[82],"obtained":[83],"directly":[84],"through":[85],"combined":[88],"with":[89],"least":[91],"squares":[92],"method.":[93,121],"This":[94],"avoids":[96],"accumulation":[98],"caused":[99],"subaperture":[101],"combination":[104],"integration":[106],"operations":[107],"methods.":[110],"Experimental":[111],"results":[112],"indicate":[113],"accuracy":[115],"effectiveness":[117]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
