{"id":"https://openalex.org/W2066287093","doi":"https://doi.org/10.1109/igarss.2012.6351945","title":"SAR RAW data processing approach based on a combination of LBG algorithm and compressed sensing","display_name":"SAR RAW data processing approach based on a combination of LBG algorithm and compressed sensing","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2066287093","doi":"https://doi.org/10.1109/igarss.2012.6351945","mag":"2066287093"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 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/A5100363180","display_name":"Qun Zhang","orcid":"https://orcid.org/0000-0002-2773-3437"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qun Zhang","raw_affiliation_strings":["Institute of Telecommunication Engineering, AFEU, Xi'an, Shaanxi, China","Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunication Engineering, AFEU, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017475936","display_name":"Feng Zhu","orcid":"https://orcid.org/0000-0002-4946-3407"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhu","raw_affiliation_strings":["Institute of Telecommunication Engineering, AFEU, Xi'an, Shaanxi, China","Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunication Engineering, AFEU, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102570825","display_name":"Deng Dong-hu","orcid":"https://orcid.org/0009-0005-7412-6719"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghu Deng","raw_affiliation_strings":["Institute of Telecommunication Engineering, AFEU, Xi'an, Shaanxi, China","Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunication Engineering, AFEU, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101998832","display_name":"Fu-fei Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fufei Gu","raw_affiliation_strings":["Institute of Telecommunication Engineering, AFEU, Xi'an, Shaanxi, China","Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunication Engineering, AFEU, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046996087","display_name":"Kaiming Li","orcid":"https://orcid.org/0000-0001-9383-3017"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiming Li","raw_affiliation_strings":["Institute of Telecommunication Engineering, AFEU, Xi'an, Shaanxi, China","Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunication Engineering, AFEU, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Inst. of Telecommunication Engineering, AFEU, Shaanxi, Xi'an, 710077, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100363180"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13267793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":null,"first_page":"7424","last_page":"7427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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":0.9991000294685364,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7039858102798462},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.6531601548194885},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6243731379508972},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.616131603717804},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5635109543800354},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5516013503074646},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5368068814277649},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.44538867473602295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4421165883541107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3211436867713928},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2979622483253479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7039858102798462},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.6531601548194885},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6243731379508972},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.616131603717804},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5635109543800354},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5516013503074646},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5368068814277649},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.44538867473602295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4421165883541107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3211436867713928},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2979622483253479},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6351945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2097520477","https://openalex.org/W2100068253","https://openalex.org/W2107053213","https://openalex.org/W2119667497","https://openalex.org/W2129638195","https://openalex.org/W2145096794","https://openalex.org/W2156097299","https://openalex.org/W2296616510","https://openalex.org/W2327205219","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W3209251257","https://openalex.org/W2372888426"],"abstract_inverted_index":{"Aimed":[0],"at":[1],"the":[2,48,52,81,94,98,112,120,131,143],"problem":[3],"of":[4,71,96,130],"how":[5],"to":[6,46,67,86,110],"diminish":[7,68],"SAR":[8,14,22,40,100,114,123,132],"raw":[9,23,133],"data":[10,24,76,134],"apparently":[11],"and":[12,30,55,89],"realize":[13],"imaging":[15,101],"effectively,":[16],"a":[17,59],"new":[18],"approach":[19],"for":[20],"processing":[21],"combined":[25],"with":[26,142],"Linde-Buzo-Gray":[27],"(LBG)":[28],"algorithm":[29,57,88],"Compressed":[31],"Sensing":[32],"(CS)":[33],"is":[34,44,65,107,135,140],"proposed":[35],"in":[36,51],"this":[37],"paper.":[38],"For":[39],"returned":[41],"signals,":[42],"CS":[43,90],"engaged":[45],"reduce":[47],"sampling":[49],"number":[50,70],"pulse":[53],"duration,":[54],"LBG":[56,87],"as":[58],"classical":[60],"vector":[61],"quantization":[62],"(VQ)":[63],"method,":[64,102],"employed":[66],"encode":[69],"every":[72],"sample":[73],"value.":[74],"Next,":[75],"reconstruction":[77],"process":[78],"still":[79],"contains":[80],"two":[82],"ordinal":[83],"steps":[84],"according":[85],"theory,":[91],"respectively.":[92],"On":[93],"basis":[95],"that,":[97],"traditional":[99,144],"Frequency":[103],"Scaling":[104],"(FS)":[105],"algorithm,":[106],"carried":[108],"out":[109],"achieve":[111],"final":[113],"image.":[115],"Simulation":[116],"results":[117],"show":[118],"that":[119],"high":[121],"quality":[122],"image":[124],"can":[125],"be":[126],"achieved":[127],"on":[128],"condition":[129],"diminished":[136],"furthermore":[137],"obviously,":[138],"which":[139],"compared":[141],"method.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}