{"id":"https://openalex.org/W2031418016","doi":"https://doi.org/10.1109/icip.2014.7025508","title":"Robust and efficient SAR image coding transmission based on compressive sensing","display_name":"Robust and efficient SAR image coding transmission based on compressive sensing","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2031418016","doi":"https://doi.org/10.1109/icip.2014.7025508","mag":"2031418016"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5101810514","display_name":"Xingsong Hou","orcid":"https://orcid.org/0000-0002-7229-6002"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingsong Hou","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, Shaanxi, CN","School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'An, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, Shaanxi, CN","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'An, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011595191","display_name":"Wenwen Tian","orcid":"https://orcid.org/0000-0002-4265-7129"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwen Tian","raw_affiliation_strings":["School of Electronic and Information Engineering, Xi'an JiaoTong University, Xi'an, China","School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'An, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi'an JiaoTong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'An, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100679028","display_name":"Chen Gong","orcid":"https://orcid.org/0000-0002-7150-0024"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gong","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, CN","University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, CN","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09230769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":null,"first_page":"2512","last_page":"2516"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9984999895095825,"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":0.674404501914978},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5845150947570801},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5672641396522522},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5345301628112793},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5244072675704956},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4867370128631592},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.46170881390571594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3568769097328186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.674404501914978},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5845150947570801},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5672641396522522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5345301628112793},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5244072675704956},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4867370128631592},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.46170881390571594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3568769097328186},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/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/icip.2014.7025508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2000849215","https://openalex.org/W2018284587","https://openalex.org/W2049502219","https://openalex.org/W2148120581","https://openalex.org/W2151056446","https://openalex.org/W2154828290","https://openalex.org/W2156427286"],"related_works":["https://openalex.org/W1995805316","https://openalex.org/W2387503788","https://openalex.org/W2059658550","https://openalex.org/W4287903946","https://openalex.org/W50067980","https://openalex.org/W2999957348","https://openalex.org/W2964219139","https://openalex.org/W2803920876","https://openalex.org/W3042625184","https://openalex.org/W2053539432"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"a":[3,146],"new":[4],"robust":[5,104],"and":[6,61,90],"efficient":[7,79],"airborne":[8],"synthetic":[9],"aperture":[10],"radar":[11],"(SAR)":[12],"image":[13],"coding":[14,114],"transmission":[15],"scheme":[16,101,127,140],"based":[17],"on":[18],"compressive":[19],"sensing":[20],"(CS)":[21],"against":[22,105],"lossy":[23],"channels":[24],"is":[25,29,83,93,102,123],"proposed.":[26],"The":[27],"robustness":[28],"achieved":[30],"using":[31],"the":[32,37,42,65,72,99,110,118,125,134,138],"democracy":[33],"of":[34,41,67,75,137],"CS.":[35],"Considering":[36],"poor":[38],"R-D":[39,135,148],"performance":[40,136],"traditional":[43,111],"CS":[44],"due":[45],"to":[46,63,130],"SAR":[47],"image's":[48],"weak":[49],"sparsity,":[50],"we":[51],"use":[52],"directional":[53],"lifting":[54],"wavelet":[55],"transform":[56],"(DLWT)":[57],"as":[58],"sparse":[59],"representation":[60],"sparse-filtering":[62],"eliminate":[64],"interference":[66],"small":[68],"coefficients.":[69],"By":[70],"exploiting":[71],"inter-scale":[73],"dependency":[74],"DLWT":[76],"coefficients,":[77],"an":[78],"Bayesian":[80],"reconstruction":[81],"algorithm":[82],"adopted.":[84],"Furthermore,":[85],"optimal":[86],"tradeoff":[87],"between":[88],"bit-depth":[89],"measurement":[91],"rate":[92,121],"used.":[94],"Experimental":[95],"results":[96],"show":[97],"that":[98],"proposed":[100,139],"more":[103,142],"packet":[106,119],"loss":[107,120],"compared":[108],"with":[109],"joint":[112],"source-channel":[113],"(JSCC)":[115],"scheme.":[116],"When":[117],"(PLR)":[122],"excessive,":[124],"JSCC":[126],"easily":[128],"leads":[129],"cliff":[131],"effect,":[132],"however,":[133],"decreases":[141],"gracefully":[143],"while":[144],"achieving":[145],"comparative":[147],"performance.":[149]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}