{"id":"https://openalex.org/W2996977448","doi":"https://doi.org/10.1109/taes.2019.2961826","title":"Star Identification Based on Spider-Web Image and Hierarchical CNN","display_name":"Star Identification Based on Spider-Web Image and Hierarchical CNN","publication_year":2019,"publication_date":"2019-12-27","ids":{"openalex":"https://openalex.org/W2996977448","doi":"https://doi.org/10.1109/taes.2019.2961826","mag":"2996977448"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2019.2961826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2019.2961826","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-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/A5101944041","display_name":"Jie Jiang","orcid":"https://orcid.org/0000-0003-1946-1707"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Jiang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349618","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0003-1299-9854"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602614","display_name":"Guangjun Zhang","orcid":"https://orcid.org/0000-0003-0412-4986"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjun Zhang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101944041"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.3221,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.88658347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"56","issue":"4","first_page":"3055","last_page":"3062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14163","display_name":"Astronomical Observations and Instrumentation","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T14163","display_name":"Astronomical Observations and Instrumentation","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9977999925613403,"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":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7487419843673706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7093619108200073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6680933833122253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5704628825187683},{"id":"https://openalex.org/keywords/spider","display_name":"Spider","score":0.48014160990715027},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45913225412368774},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4457726776599884},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.426251620054245},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38972437381744385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3561616539955139},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30999183654785156},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.07206377387046814}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7487419843673706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093619108200073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6680933833122253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5704628825187683},{"id":"https://openalex.org/C2780181586","wikidata":"https://www.wikidata.org/wiki/Q3966705","display_name":"Spider","level":2,"score":0.48014160990715027},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45913225412368774},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4457726776599884},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.426251620054245},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38972437381744385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3561616539955139},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30999183654785156},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.07206377387046814},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2019.2961826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2019.2961826","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5799999833106995},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G5349372137","display_name":null,"funder_award_id":"20121102110032","funder_id":"https://openalex.org/F4320336024","funder_display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China"},{"id":"https://openalex.org/G6812529778","display_name":null,"funder_award_id":"61725501","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"},{"id":"https://openalex.org/F4320336024","display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1571385452","https://openalex.org/W1666079013","https://openalex.org/W1686810756","https://openalex.org/W1992912019","https://openalex.org/W2000640261","https://openalex.org/W2022872960","https://openalex.org/W2093321296","https://openalex.org/W2097117768","https://openalex.org/W2098660300","https://openalex.org/W2102755397","https://openalex.org/W2109833904","https://openalex.org/W2112796928","https://openalex.org/W2121404909","https://openalex.org/W2126065737","https://openalex.org/W2128540874","https://openalex.org/W2128710512","https://openalex.org/W2142631842","https://openalex.org/W2151511237","https://openalex.org/W2163301105","https://openalex.org/W2163575761","https://openalex.org/W2163605009","https://openalex.org/W2241462554","https://openalex.org/W2412782625","https://openalex.org/W2618530766","https://openalex.org/W2919115771","https://openalex.org/W2963150697","https://openalex.org/W3033269779","https://openalex.org/W3177004604","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W3116347567","https://openalex.org/W2054489131","https://openalex.org/W3113604371","https://openalex.org/W2989850994","https://openalex.org/W1823320495","https://openalex.org/W2349288810","https://openalex.org/W2226537640","https://openalex.org/W3045804027","https://openalex.org/W1540548894","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Unlike":[0],"the":[1,52,57,60,110,117,127,132],"traditional":[2],"star":[3,9],"pattern":[4],"recognition":[5],"algorithms":[6],"that":[7],"extract":[8],"features":[10],"as":[11],"a":[12,18,23,29],"vector":[13],"to":[14,38,55,89],"be":[15],"matched":[16],"in":[17,20,126],"database,":[19],"this":[21,40],"article,":[22],"spider-web":[24,41,61,73,97],"image":[25],"is":[26,36,100,113],"constructed":[27,70],"and":[28,66,94,131],"hierarchical":[30,80],"convolution":[31],"neural":[32],"network":[33],"(CNN)":[34],"model":[35,77,82],"proposed":[37,111],"recognize":[39,95],"image.":[42],"Stars":[43],"are":[44,69,87],"linked":[45],"with":[46,83,107],"different":[47],"color":[48],"lines":[49],"based":[50,71],"on":[51,72],"angle":[53],"distance":[54],"enhance":[56],"discrimination":[58],"of":[59,124,129,134],"images.":[62],"A":[63,79],"training":[64],"dataset":[65,68],"testing":[67],"images":[74],"for":[75],"CNN":[76,81],"training.":[78],"two":[84],"stages,":[85],"which":[86],"designed":[88],"perform":[90],"first":[91],"step":[92],"identification":[93],"similar":[96],"images,":[98],"respectively,":[99],"proposed.":[101],"Experiment":[102],"results":[103],"show":[104],"that,":[105],"compared":[106],"other":[108],"algorithms,":[109],"algorithm":[112],"more":[114],"robust":[115],"toward":[116],"position":[118],"noise,":[119,121],"magnitude":[120],"small":[122],"numbers":[123],"stars":[125],"field":[128],"view,":[130],"presence":[133],"false":[135],"stars.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}