{"id":"https://openalex.org/W2547842301","doi":"https://doi.org/10.1109/igarss.2016.7730778","title":"A sparse optimization method for masking effect removal in noise synthetic aperture radar","display_name":"A sparse optimization method for masking effect removal in noise synthetic aperture radar","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2547842301","doi":"https://doi.org/10.1109/igarss.2016.7730778","mag":"2547842301"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7730778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5089866656","display_name":"Xiao Dong","orcid":"https://orcid.org/0000-0001-6180-6372"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Dong","raw_affiliation_strings":["The Key Laboratory of Microwave Remote Sensing, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Microwave Remote Sensing, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100640690","display_name":"Yunhua Zhang","orcid":"https://orcid.org/0000-0001-8125-9425"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhua Zhang","raw_affiliation_strings":["The Key Laboratory of Microwave Remote Sensing, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Microwave Remote Sensing, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103719629","display_name":"Wenshuai Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenshuai Zhai","raw_affiliation_strings":["The Key Laboratory of Microwave Remote Sensing, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Microwave Remote Sensing, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6811","last_page":"6814"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7651492357254028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6719022989273071},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6419830322265625},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.5340347290039062},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.5128726959228516},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5063718557357788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4570387601852417},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4459567070007324},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.44472938776016235},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43035823106765747},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3879142701625824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3414062261581421},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23451930284500122},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.18174731731414795},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12431305646896362}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7651492357254028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6719022989273071},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6419830322265625},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.5340347290039062},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.5128726959228516},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5063718557357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4570387601852417},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4459567070007324},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.44472938776016235},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43035823106765747},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3879142701625824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3414062261581421},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23451930284500122},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.18174731731414795},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12431305646896362},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7730778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2015418199","https://openalex.org/W2055452283","https://openalex.org/W2082550046","https://openalex.org/W2089272998","https://openalex.org/W2129638195","https://openalex.org/W2145096794","https://openalex.org/W2202285902","https://openalex.org/W2296616510","https://openalex.org/W3145119379","https://openalex.org/W3168593661","https://openalex.org/W4250955649","https://openalex.org/W6688117379"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2613451563","https://openalex.org/W1994788526","https://openalex.org/W2011609146","https://openalex.org/W2547107543","https://openalex.org/W1966299760","https://openalex.org/W2150075356"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,66],"propose":[4],"a":[5],"sparse":[6,91],"optimization":[7,92],"method":[8],"to":[9,104],"suppress":[10],"the":[11,29,37,46,60,68,86,106,109],"masking":[12],"effect":[13],"of":[14,48,62,108],"noise":[15,23,69,87,99],"synthetic":[16],"aperture":[17],"radar":[18],"(SAR)":[19],"imaging.":[20],"The":[21],"transmitted":[22],"waveforms":[24],"have":[25],"large":[26],"fluctuations":[27],"in":[28,33,36],"spectrum,":[30],"which":[31],"results":[32,95],"high-level":[34],"sidelobes":[35,47],"range":[38],"direction.":[39],"Weak":[40],"targets":[41,50],"can":[42],"be":[43],"masked":[44],"by":[45,59],"strong":[49],"when":[51],"traditional":[52],"matched":[53],"filtering":[54],"(MF)":[55],"is":[56],"applied.":[57],"Inspired":[58],"idea":[61],"compressed":[63],"sensing":[64],"(CS),":[65],"formulate":[67],"SAR":[70,88,100],"imaging":[71],"process":[72],"as":[73],"solving":[74],"an":[75],"inverse":[76],"problem":[77],"from":[78],"incomplete":[79],"random":[80],"frequency":[81],"measurements,":[82],"and":[83],"then":[84],"reconstruct":[85],"image":[89],"using":[90],"method.":[93,111],"Experimental":[94],"on":[96],"real":[97],"airborne":[98],"data":[101],"are":[102],"presented":[103],"show":[105],"effectiveness":[107],"proposed":[110]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}