{"id":"https://openalex.org/W2991277950","doi":"https://doi.org/10.1109/tcyb.2019.2952400","title":"Global Receptive-Based Neural Network for Target Recognition in SAR Images","display_name":"Global Receptive-Based Neural Network for Target Recognition in SAR Images","publication_year":2019,"publication_date":"2019-11-26","ids":{"openalex":"https://openalex.org/W2991277950","doi":"https://doi.org/10.1109/tcyb.2019.2952400","mag":"2991277950","pmid":"https://pubmed.ncbi.nlm.nih.gov/31794417"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2019.2952400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2952400","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5034852790","display_name":"Ganggang Dong","orcid":"https://orcid.org/0000-0002-1527-2426"},"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":"Ganggang Dong","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411968","display_name":"Hongwei Liu","orcid":"https://orcid.org/0000-0003-4046-163X"},"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":"Hongwei Liu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034852790"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":18.3795,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.98660332,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"51","issue":"4","first_page":"1954","last_page":"1967"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"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":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.7650592923164368},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6087021827697754},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6062414646148682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6052238345146179},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5667361617088318},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5173315405845642},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.5062588453292847},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.47352170944213867},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.470943808555603},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4174751043319702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.30632030963897705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14913785457611084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650592923164368},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6087021827697754},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6062414646148682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6052238345146179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5667361617088318},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5173315405845642},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.5062588453292847},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.47352170944213867},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.470943808555603},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4174751043319702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30632030963897705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14913785457611084},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2019.2952400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2952400","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:31794417","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31794417","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2307750574","display_name":null,"funder_award_id":"61525105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3360221606","display_name":null,"funder_award_id":"61701379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6570573548","display_name":null,"funder_award_id":"61971324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":40,"referenced_works":["https://openalex.org/W1571809481","https://openalex.org/W1906374873","https://openalex.org/W1964494592","https://openalex.org/W1969795324","https://openalex.org/W2004362043","https://openalex.org/W2020898814","https://openalex.org/W2038501427","https://openalex.org/W2038591350","https://openalex.org/W2041772080","https://openalex.org/W2089520361","https://openalex.org/W2104269704","https://openalex.org/W2111703458","https://openalex.org/W2112796928","https://openalex.org/W2122947397","https://openalex.org/W2124014399","https://openalex.org/W2138287042","https://openalex.org/W2149918662","https://openalex.org/W2150860957","https://openalex.org/W2163463863","https://openalex.org/W2164330327","https://openalex.org/W2168880067","https://openalex.org/W2290480450","https://openalex.org/W2517475170","https://openalex.org/W2588677815","https://openalex.org/W2598799153","https://openalex.org/W2604973793","https://openalex.org/W2610681481","https://openalex.org/W2741749842","https://openalex.org/W2771429811","https://openalex.org/W2790203190","https://openalex.org/W2791514264","https://openalex.org/W2890732922","https://openalex.org/W2893196123","https://openalex.org/W2900193097","https://openalex.org/W2901459322","https://openalex.org/W2901694823","https://openalex.org/W2917056838","https://openalex.org/W2944003962","https://openalex.org/W3144619878","https://openalex.org/W6756345341"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W4221148444","https://openalex.org/W4226054107","https://openalex.org/W4387678054","https://openalex.org/W4306784355","https://openalex.org/W2784004155","https://openalex.org/W1971646133","https://openalex.org/W2159300429"],"abstract_inverted_index":{"The":[0,103,150,208],"past":[1],"years":[2],"have":[3],"witnessed":[4],"a":[5,86,93,140,192,215],"revival":[6],"of":[7,24,73,89,96,107,126,142,161,171,191,260],"neural":[8,98,206],"network":[9,99],"and":[10,20,62,70,114,133,136,222,231],"learning":[11],"strategies.":[12],"These":[13],"models":[14],"configure":[15],"multiple":[16,54],"hidden":[17],"layers":[18],"hierarchically":[19],"require":[21],"large":[22],"amounts":[23],"labeled":[25],"samples":[26,55],"to":[27,36,139,164,187,264],"estimate":[28],"the":[29,43,66,76,81,127,131,134,146,159,166,179,189,198,205,219,223,229,232,240,244,249,253,257,266],"model":[30],"parameters.":[31],"It":[32],"is":[33,59,154],"yet":[34,272],"difficult":[35],"be":[37,174,202],"met":[38],"for":[39],"target":[40],"recognition":[41],"under":[42,91],"realistic":[44],"environments.":[45],"For":[46],"either":[47],"space":[48],"borne":[49],"or":[50,268],"airborne":[51],"radars,":[52],"collecting":[53],"with":[56,158,273],"label":[57],"information":[58,172],"very":[60],"expensive":[61],"difficult.":[63],"In":[64,196],"addition,":[65,197],"huge":[67],"computational":[68],"cost":[69],"poor":[71],"speed":[72],"convergence":[74],"limit":[75],"practical":[77],"applications.":[78],"To":[79],"address":[80],"problems,":[82],"this":[83],"article":[84],"presents":[85],"new":[87],"thought":[88],"receptive,":[90],"which":[92],"special":[94,216],"hierarchy":[95],"feedforward":[97],"has":[100],"been":[101],"built.":[102],"proposed":[104],"strategy":[105],"consists":[106],"two":[108],"sequential":[109],"modules:":[110],"1)":[111],"feature":[112,116],"generation":[113],"2)":[115],"refinement.":[117,261],"We":[118,177,262],"first":[119],"build":[120],"pairwise":[121],"baseline":[122],"signals":[123,144,163,181],"by":[124,214,228],"means":[125],"Riesz":[128],"transform":[129],"along":[130],"range":[132],"azimuth,":[135],"extend":[137],"them":[138],"family":[141],"receptive":[143,162,180],"using":[145],"bandpass":[147],"filter":[148],"bank.":[149],"input":[151,220],"SAR":[152],"image":[153],"then":[155,175],"generally":[156],"convoluted":[157],"set":[160],"extract":[165],"global":[167],"features.":[168],"Certain":[169],"kinds":[170],"can":[173,201],"exploited.":[176],"make":[178],"predefined,":[182],"rather":[183],"than":[184],"learned":[185],"automatically,":[186],"handle":[188],"environment":[190],"small":[193],"sample":[194],"size.":[195],"expert":[199],"knowledge":[200],"transmitted":[203],"into":[204,252],"network.":[207],"resulting":[209],"features":[210],"are":[211,226,237],"further":[212],"refined":[213],"unit,":[217],"wherein":[218],"neurons":[221],"latent":[224,250],"states":[225],"bridged":[227],"weights":[230],"bias":[233],"randomly":[234],"generated.":[235],"They":[236],"fixed":[238],"during":[239],"training":[241,275],"process.":[242],"On":[243],"other":[245],"hand,":[246],"we":[247],"cast":[248],"state":[251],"Hilbert":[254],"space,":[255],"forming":[256],"kernel":[258],"version":[259],"aim":[263],"achieve":[265],"comparable":[267],"even":[269],"better":[270],"performance":[271],"limited":[274],"resources.":[276]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}