{"id":"https://openalex.org/W4402264767","doi":"https://doi.org/10.1109/igarss53475.2024.10641127","title":"Physics-Driven Interpretable SAR Target Recognition Network Based on Scattering Center Feature Extraction","display_name":"Physics-Driven Interpretable SAR Target Recognition Network Based on Scattering Center Feature Extraction","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402264767","doi":"https://doi.org/10.1109/igarss53475.2024.10641127"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641127","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":"conference-paper","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/A5049093143","display_name":"Leiyao Liao","orcid":"https://orcid.org/0000-0001-8132-0062"},"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":"Leiyao Liao","raw_affiliation_strings":["Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China,710071"],"raw_orcid":null,"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/A5100716826","display_name":"Lan Du","orcid":"https://orcid.org/0000-0002-4503-0022"},"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":"Lan Du","raw_affiliation_strings":["Xidian University,National Key Laboratory of Radar Signal Processing,Xi&#x2019;an,China,710071"],"raw_orcid":null,"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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9412","last_page":"9415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9980999827384949,"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":0.7235796451568604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6096060872077942},{"id":"https://openalex.org/keywords/center","display_name":"Center (category theory)","score":0.6075681447982788},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5786558389663696},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.5732482671737671},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.47681233286857605},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.47232216596603394},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.468874454498291},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.42089757323265076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3677675127983093},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15845084190368652}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7235796451568604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6096060872077942},{"id":"https://openalex.org/C2779463800","wikidata":"https://www.wikidata.org/wiki/Q5062222","display_name":"Center (category theory)","level":2,"score":0.6075681447982788},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5786558389663696},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5732482671737671},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.47681233286857605},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.47232216596603394},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.468874454498291},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.42089757323265076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3677675127983093},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15845084190368652},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641127","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/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2124648367","https://openalex.org/W2127271355","https://openalex.org/W2160547390","https://openalex.org/W2161035945","https://openalex.org/W2292481059","https://openalex.org/W2410591237","https://openalex.org/W2520537062","https://openalex.org/W2523772278","https://openalex.org/W2914367944","https://openalex.org/W3018622322","https://openalex.org/W3115447952","https://openalex.org/W3192142973","https://openalex.org/W4212863985","https://openalex.org/W4312397462"],"related_works":["https://openalex.org/W2188431416","https://openalex.org/W2065091555","https://openalex.org/W2371189778","https://openalex.org/W1573667629","https://openalex.org/W654422885","https://openalex.org/W4245286412","https://openalex.org/W4235844296","https://openalex.org/W4401911406","https://openalex.org/W4235831351","https://openalex.org/W2440845420"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1],"radar":[2],"(SAR)":[3],"target":[4,58,74,112,116,132],"recognition":[5,34,59,113,133,151],"methods":[6],"based":[7,61],"on":[8,62,154],"deep":[9,81],"learning":[10],"have":[11],"been":[12],"a":[13,54,110,135],"research":[14],"hot-spot.":[15],"But":[16],"most":[17],"of":[18,21,28,48,72,163],"them":[19],"are":[20,39,97,106],"black-box":[22],"structure":[23,44],"and":[24,45,131,146,148],"neglect":[25],"physical":[26,40,90],"characteristics":[27],"SAR":[29,57,73],"targets,":[30],"which":[31,105,137],"restrict":[32],"the":[33,68,85,93,101,140,155,160],"performance.":[35,152],"Scattering":[36],"centers":[37],"(SCs)":[38],"features":[41,87,96,145],"that":[42,83,126],"reflect":[43],"shape":[46],"information":[47],"targets.":[49],"Thus,":[50],"this":[51],"paper":[52],"designs":[53],"physics-driven":[55],"interpretable":[56,80],"network":[60,114],"scattering":[63,69],"center":[64,70],"feature":[65,129],"extraction.":[66],"Incorporating":[67],"model":[71,82,121,125],"into":[75,109],"network,":[76],"our":[77,120,164],"method":[78],"is":[79,122],"learns":[84],"SC":[86,95,102,144],"with":[88],"specific":[89],"meanings.":[91],"Moreover,":[92],"learned":[94],"then":[98],"constructed":[99],"as":[100],"geometric":[103],"images,":[104],"further":[107],"projected":[108],"designed":[111],"for":[115],"recognition.":[117],"In":[118],"particular,":[119],"an":[123],"end-to-end":[124],"achieves":[127],"SCs":[128],"extraction":[130],"in":[134],"framework,":[136],"can":[138],"avoid":[139],"mismatch":[141],"issue":[142],"between":[143],"classifier":[147],"ensure":[149],"promising":[150],"Experiments":[153],"measured":[156],"MSTAR":[157],"dataset":[158],"validate":[159],"superior":[161],"performance":[162],"method.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
