{"id":"https://openalex.org/W2041991253","doi":"https://doi.org/10.1109/igarss.2015.7326497","title":"Wide angle radar imaging under low SNR via sparsity enhanced non-negative matrix factorization","display_name":"Wide angle radar imaging under low SNR via sparsity enhanced non-negative matrix factorization","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2041991253","doi":"https://doi.org/10.1109/igarss.2015.7326497","mag":"2041991253"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056643573","display_name":"Ran Xu","orcid":"https://orcid.org/0000-0003-2913-9420"},"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":"Ran Xu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044356445","display_name":"Yachao Li","orcid":"https://orcid.org/0000-0002-6672-367X"},"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":"Yachao Li","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021408538","display_name":"Mengdao Xing","orcid":"https://orcid.org/0000-0002-4084-0915"},"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":"Mengdao Xing","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":null,"first_page":"3195","last_page":"3198"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9987999796867371,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.744909405708313},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6751351356506348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6092607975006104},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6027333736419678},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.5363653302192688},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4790995419025421},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.45873749256134033},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.453584223985672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44494134187698364},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4353013038635254},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.43157342076301575},{"id":"https://openalex.org/keywords/coded-aperture","display_name":"Coded aperture","score":0.42275410890579224},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4217011332511902},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15791279077529907},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.12686914205551147},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.1004226803779602},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09442934393882751}],"concepts":[{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.744909405708313},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6751351356506348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092607975006104},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6027333736419678},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.5363653302192688},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4790995419025421},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.45873749256134033},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.453584223985672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44494134187698364},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4353013038635254},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.43157342076301575},{"id":"https://openalex.org/C2779464207","wikidata":"https://www.wikidata.org/wiki/Q4226196","display_name":"Coded aperture","level":3,"score":0.42275410890579224},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4217011332511902},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15791279077529907},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.12686914205551147},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.1004226803779602},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09442934393882751},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1604361744","https://openalex.org/W1902027874","https://openalex.org/W1959658955","https://openalex.org/W1977136314","https://openalex.org/W1990231296","https://openalex.org/W2007852770","https://openalex.org/W2061924130","https://openalex.org/W2082671962","https://openalex.org/W2118718620","https://openalex.org/W2123498610","https://openalex.org/W2135029798","https://openalex.org/W2146065092","https://openalex.org/W2157641409","https://openalex.org/W2165685007","https://openalex.org/W2169466597","https://openalex.org/W3042449927","https://openalex.org/W3143596294","https://openalex.org/W6677759377","https://openalex.org/W6680012447","https://openalex.org/W6684938680","https://openalex.org/W6780743753"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2075222291"],"abstract_inverted_index":{"Narrow":[0],"angle":[1,15],"approximation":[2],"and":[3,28,95],"isotropic":[4],"assumption":[5],"adopted":[6],"in":[7,13],"regular":[8],"radar":[9,16],"imaging":[10,17,41],"are":[11,24],"violated":[12],"wide":[14],"scenario.":[18],"Therefore,":[19],"conventional":[20],"Fourier":[21],"based":[22,43],"methods":[23],"not":[25],"directly":[26],"applicable,":[27],"full":[29,52,87],"aperture":[30,53,88],"algorithms":[31],"perform":[32],"poor":[33],"under":[34],"low":[35],"SNR.":[36,97],"This":[37],"paper":[38],"proposes":[39],"an":[40],"scheme":[42],"on":[44],"Sparsity":[45],"Enhanced":[46],"Non-negative":[47],"Matrix":[48],"Factorization":[49],"(SENMF).":[50],"The":[51,98],"is":[54,67,81],"firstly":[55],"divided":[56],"into":[57],"several":[58],"overlapping":[59],"subapertures,":[60],"to":[61,70,83],"which":[62,90],"Polar":[63],"Format":[64],"Algorithm":[65],"(PFA)":[66],"then":[68],"applied":[69],"obtain":[71],"subimages":[72],"at":[73],"different":[74],"aspects.":[75],"Finally,":[76],"NMF":[77],"with":[78],"sparsity":[79],"regularization":[80],"exploited":[82],"iteratively":[84],"composite":[85],"the":[86,105,108],"image,":[89],"demonstrates":[91],"enhanced":[92],"target":[93],"feature":[94],"improved":[96],"results":[99],"of":[100,107],"Backhoe":[101],"data":[102],"processing":[103],"verify":[104],"validity":[106],"novel":[109],"approach.":[110]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
