{"id":"https://openalex.org/W2901083967","doi":"https://doi.org/10.1109/igarss.2018.8517471","title":"Feature Modeling of SAR Images for Aircrafts Based on Typical Structures","display_name":"Feature Modeling of SAR Images for Aircrafts Based on Typical Structures","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901083967","doi":"https://doi.org/10.1109/igarss.2018.8517471","mag":"2901083967"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8517471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5001790597","display_name":"Yueting Zhang","orcid":"https://orcid.org/0000-0001-6802-7101"},"institutions":[{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yueting Zhang","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Science"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Science","institution_ids":["https://openalex.org/I4210110458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101193014","display_name":"Chibiao Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chibiao Ding","raw_affiliation_strings":["University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056766372","display_name":"Bin Lei","orcid":"https://orcid.org/0000-0001-7625-9236"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Lei","raw_affiliation_strings":["University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404517","display_name":"Fangfang Li","orcid":"https://orcid.org/0000-0002-2295-2198"},"institutions":[{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"FangFang Li","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Science"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Science","institution_ids":["https://openalex.org/I4210110458"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110484098","display_name":"Xiaolan Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolan Qiu","raw_affiliation_strings":["University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001790597"],"corresponding_institution_ids":["https://openalex.org/I4210110458"],"apc_list":null,"apc_paid":null,"fwci":0.4436,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76154991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"7007","last_page":"7010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and 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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and 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/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/T11609","display_name":"Geophysical Methods and Applications","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7058402299880981},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.6902991533279419},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6448663473129272},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6327773332595825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5730704665184021},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5655056834220886},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5394582748413086},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4906550943851471},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4499156177043915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42126232385635376},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.4143028259277344},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1365785300731659},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0854167640209198},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07086402177810669},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06629222631454468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7058402299880981},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.6902991533279419},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6448663473129272},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6327773332595825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5730704665184021},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5655056834220886},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5394582748413086},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4906550943851471},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4499156177043915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42126232385635376},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.4143028259277344},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1365785300731659},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0854167640209198},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07086402177810669},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06629222631454468},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8517471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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":6,"referenced_works":["https://openalex.org/W2028075111","https://openalex.org/W2112024307","https://openalex.org/W2139520547","https://openalex.org/W2149918662","https://openalex.org/W2283642922","https://openalex.org/W2314458011"],"related_works":["https://openalex.org/W3137365474","https://openalex.org/W2886347302","https://openalex.org/W2784759481","https://openalex.org/W1545594509","https://openalex.org/W3130755980","https://openalex.org/W3038591045","https://openalex.org/W1988723959","https://openalex.org/W2773828237","https://openalex.org/W2521772843","https://openalex.org/W2540650467"],"abstract_inverted_index":{"SAR":[0,37,119,146,170],"images":[1,120],"of":[2,6,27,46,54,71,95,116,142,161],"aircrafts":[3,14,56,96,117,144],"usually":[4],"consist":[5],"several":[7],"discrete":[8],"scattering":[9,24,52,63,69,78,140],"centers.":[10],"For":[11],"targets":[12],"like":[13],"having":[15],"relatively":[16],"smooth":[17],"surfaces,":[18],"understanding":[19],"and":[20,33,100,155],"modeling":[21,45,105],"about":[22,49],"these":[23],"centers":[25,53],"is":[26,57],"great":[28],"use":[29],"for":[30,44,85,169],"the":[31,34,47,50,55,67,80,92,101,114,122,138,143,152,159,162],"detection":[32],"recognition":[35],"in":[36,118,145],"images.":[38,147],"In":[39],"this":[40,90],"work,":[41],"an":[42],"approach":[43,60,108],"features":[48,103,115,141],"dominant":[51],"proposed.":[58],"The":[59,148,164],"generates":[61],"a":[62,110,130],"map":[64],"based":[65,132,150],"on":[66,133,151],"analytic":[68],"model":[70,137],"some":[72],"typical":[73,134],"unit":[74],"structures.":[75],"According":[76],"to":[77,112,136],"maps,":[79],"equivalent":[81],"parameters":[82],"are":[83,104],"adjusted":[84],"detail":[86],"feature":[87],"modeling.":[88],"Through":[89],"approach,":[91],"main":[93,102],"mechanisms":[94],"can":[97],"be":[98,167],"interpreted":[99],"too.":[106],"This":[107],"provides":[109],"way":[111],"characterize":[113],"without":[121],"large":[123],"computational":[124],"amount.":[125],"Furthermore,":[126],"it":[127],"sets":[128],"up":[129],"frame":[131],"structures":[135],"local":[139],"experiments":[149],"Terra-SAR":[153],"data":[154,157],"airborne":[156],"test":[158],"validity":[160],"approach.":[163],"work":[165],"would":[166],"useful":[168],"Automatic":[171],"Target":[172],"Recognition.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}