{"id":"https://openalex.org/W2983918562","doi":"https://doi.org/10.1109/igarss.2019.8898064","title":"A Robust Multiscale Dictionary Learning Algorithm for Sar Object Recognition","display_name":"A Robust Multiscale Dictionary Learning Algorithm for Sar Object Recognition","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983918562","doi":"https://doi.org/10.1109/igarss.2019.8898064","mag":"2983918562"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 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/A5102899186","display_name":"Lei Tao","orcid":"https://orcid.org/0000-0002-0152-8224"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lei Tao","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765613","display_name":"Xue Jiang","orcid":"https://orcid.org/0000-0003-1529-5617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue Jiang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449291","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0001-8721-4535"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061319150","display_name":"Xingzhao Liu","orcid":"https://orcid.org/0000-0002-4533-3904"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingzhao Liu","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076311357","display_name":"Bin Yuan","orcid":"https://orcid.org/0000-0002-5365-904X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Yuan","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102899186"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13744451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1192","last_page":"1195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9955999851226807,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9873999953269958,"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":0.7084212303161621},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6950130462646484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6187880635261536},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.6117297410964966},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5912390947341919},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4877830147743225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4715331196784973},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.45411136746406555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29247647523880005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084212303161621},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6950130462646484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6187880635261536},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.6117297410964966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5912390947341919},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4877830147743225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4715331196784973},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.45411136746406555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29247647523880005},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1915759647","https://openalex.org/W1963932623","https://openalex.org/W2004465977","https://openalex.org/W2027805700","https://openalex.org/W2129812935","https://openalex.org/W2160547390","https://openalex.org/W2187089797","https://openalex.org/W2513787030"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664","https://openalex.org/W4281727072"],"abstract_inverted_index":{"In":[0,36],"this":[1],"paper,":[2],"a":[3],"novel":[4],"robust":[5,64],"multiscale":[6,21],"dictionary":[7,91],"learning":[8,92],"algorithm":[9],"is":[10,42,62,71],"proposed":[11,72,86],"for":[12],"SAR":[13,19],"object":[14],"recognition.":[15],"By":[16],"extracting":[17],"an":[18],"image's":[20],"features":[22],"and":[23,60,99],"introducing":[24],"them":[25],"into":[26],"the":[27,46,49,57,75,80,85],"objective":[28,76],"function,":[29],"there":[30],"are":[31],"several":[32],"reconstruction":[33,39],"error":[34,40],"terms.":[35],"addition,":[37],"each":[38],"term":[41],"calculated":[43],"according":[44],"to":[45,73],"sum":[47],"of":[48,52,56,96],"absolute":[50],"values":[51],"matrix":[53],"entries":[54],"instead":[55],"Frobenius":[58],"norm,":[59],"it":[61],"more":[63],"against":[65,101],"noise.":[66],"An":[67],"alternating":[68],"minimization":[69],"strategy":[70],"optimize":[74],"function.":[77],"Experiments":[78],"on":[79],"MSTAR":[81],"dataset":[82],"show":[83],"that":[84],"scheme":[87],"outperforms":[88],"some":[89],"representative":[90],"methods":[93],"in":[94],"terms":[95],"recognition":[97],"performance":[98],"robustness":[100],"noise,":[102],"especially":[103],"under":[104],"small":[105],"training":[106],"set":[107],"size":[108],"condition.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
