{"id":"https://openalex.org/W4397026569","doi":"https://doi.org/10.1109/lsp.2024.3402338","title":"EDLRDPL_Net: A New Deep Dictionary Learning Network for SAR Image Classification","display_name":"EDLRDPL_Net: A New Deep Dictionary Learning Network for SAR Image Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4397026569","doi":"https://doi.org/10.1109/lsp.2024.3402338"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3402338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3402338","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5001005426","display_name":"Xizhan Gao","orcid":"https://orcid.org/0000-0001-5575-6786"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xizhan Gao","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101588636","display_name":"Kang Wei","orcid":"https://orcid.org/0009-0006-3099-110X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Wei","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034946941","display_name":"Sijie Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijie Niu","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003095535","display_name":"Hui Zhao","orcid":"https://orcid.org/0000-0003-3205-3820"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhao","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051682933","display_name":"Jiwen Dong","orcid":"https://orcid.org/0000-0002-9410-7364"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwen Dong","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001005426"],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":1.443,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78840686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"1459","last_page":"1463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.8040000200271606,"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"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.8040000200271606,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.7786999940872192,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.7544999718666077,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7106047868728638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7025994062423706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.56488436460495},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5603278279304504},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5489856600761414},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4603116512298584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45647627115249634},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4481913447380066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33513617515563965},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1489918828010559}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106047868728638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7025994062423706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.56488436460495},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5603278279304504},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5489856600761414},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4603116512298584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45647627115249634},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4481913447380066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33513617515563965},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1489918828010559},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3402338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3402338","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2701904806","display_name":null,"funder_award_id":"ZR2020MF137","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6856922310","display_name":null,"funder_award_id":"ZR2020QF107","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7084556808","display_name":null,"funder_award_id":"ZR2021MF039","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8276215335","display_name":null,"funder_award_id":"62101213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G939128355","display_name":null,"funder_award_id":"62103165","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W649301306","https://openalex.org/W2194775991","https://openalex.org/W2410591237","https://openalex.org/W2513787030","https://openalex.org/W2523772278","https://openalex.org/W2549139847","https://openalex.org/W2640395347","https://openalex.org/W2762294195","https://openalex.org/W2810454813","https://openalex.org/W2898116546","https://openalex.org/W2970546341","https://openalex.org/W3009428618","https://openalex.org/W3012162230","https://openalex.org/W3043911516","https://openalex.org/W3084745937","https://openalex.org/W3101310341","https://openalex.org/W3111141886","https://openalex.org/W3138017209","https://openalex.org/W3169512507","https://openalex.org/W3176136157","https://openalex.org/W3200445080","https://openalex.org/W4206206673","https://openalex.org/W4224223607","https://openalex.org/W4225286314","https://openalex.org/W4226285265","https://openalex.org/W4246193833","https://openalex.org/W4286909097","https://openalex.org/W4293065229","https://openalex.org/W4294967869","https://openalex.org/W4304811962","https://openalex.org/W4306831670","https://openalex.org/W4310844203","https://openalex.org/W4311593456","https://openalex.org/W4312646696","https://openalex.org/W4315705623","https://openalex.org/W4316259268","https://openalex.org/W4367016851","https://openalex.org/W4382449403","https://openalex.org/W4385336294","https://openalex.org/W6684213969"],"related_works":["https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W2042726296","https://openalex.org/W2096748030","https://openalex.org/W3016428515","https://openalex.org/W2160730947","https://openalex.org/W2747205507","https://openalex.org/W2917196883","https://openalex.org/W1908997176","https://openalex.org/W2081203575"],"abstract_inverted_index":{"SAR":[0,18,35,159],"image":[1,19,36,160],"classification":[2,20,37,161],"is":[3,87,131],"one":[4],"of":[5,12,17,26,31,102,138,166],"the":[6,10,24,29,53,59,69,92,99,107,112,117,146,150,164],"research":[7],"hotspots":[8],"in":[9,58,72],"field":[11],"remote":[13],"sensing.":[14],"The":[15],"performance":[16],"greatly":[21],"depends":[22],"on":[23,41,47,116,157],"learning":[25,42,84,104,127,137],"features":[27,44,61,140],"and":[28,62,95,110,141],"design":[30],"classifiers.":[32],"However,":[33],"traditional":[34],"methods":[38],"either":[39],"focus":[40,46],"(deep)":[43],"or":[45],"designing":[48],"discriminative":[49,108,142],"classifiers,":[50],"while":[51],"ignoring":[52],"correlation":[54],"between":[55],"them,":[56],"resulting":[57],"learned":[60],"classifiers":[63],"often":[64],"not":[65],"matching.":[66],"To":[67],"address":[68],"above":[70],"issues,":[71],"this":[73],"paper":[74],"a":[75],"novel":[76],"classifier,":[77,119],"termed":[78],"entropy":[79,93,121],"based":[80,122],"low-rank":[81,96],"dictionary":[82,103,125],"pair":[83,126],"(ELRDPL)":[85],"method":[86],"first":[88],"designed,":[89],"which":[90,134],"introduces":[91],"theory":[94],"constraints":[97],"into":[98,149],"objective":[100],"function":[101],"for":[105],"increasing":[106],"ability":[109],"decreasing":[111],"space":[113],"occupation.":[114],"Based":[115],"constructed":[118],"an":[120],"deep":[123,139,151],"lowrank":[124],"network":[128],"(EDLRDPL":[129],"Net)":[130],"then":[132],"proposed,":[133],"performs":[135],"joint":[136],"dictionaries":[143],"by":[144],"embedding":[145],"ELRDPL":[147],"classifier":[148],"neural":[152],"network.":[153],"Extensive":[154],"experimental":[155],"results":[156],"four":[158],"datasets":[162],"demonstrate":[163],"effectiveness":[165],"EDLRDPL":[167],"Net.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}