{"id":"https://openalex.org/W2981028488","doi":"https://doi.org/10.1109/tgrs.2019.2942329","title":"Efficient Deblending in the PFK Domain Based on Compressive Sensing","display_name":"Efficient Deblending in the PFK Domain Based on Compressive Sensing","publication_year":2019,"publication_date":"2019-10-14","ids":{"openalex":"https://openalex.org/W2981028488","doi":"https://doi.org/10.1109/tgrs.2019.2942329","mag":"2981028488"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2942329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2942329","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5040170630","display_name":"Benfeng Wang","orcid":"https://orcid.org/0000-0002-5743-0664"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4391767744","display_name":"State Key Laboratory of Marine Geology","ror":"https://ror.org/02bxj9z30","country_code":null,"type":"facility","lineage":["https://openalex.org/I116953780","https://openalex.org/I4391767744"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benfeng Wang","raw_affiliation_strings":["State Key Laboratory of Marine Geology, School of Ocean and Earth Science, Institute of Advanced Study, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5743-0664","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Geology, School of Ocean and Earth Science, Institute of Advanced Study, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4391767744"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100735723","display_name":"Jianhua Geng","orcid":"https://orcid.org/0000-0002-0411-1192"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4391767744","display_name":"State Key Laboratory of Marine Geology","ror":"https://ror.org/02bxj9z30","country_code":null,"type":"facility","lineage":["https://openalex.org/I116953780","https://openalex.org/I4391767744"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Geng","raw_affiliation_strings":["State Key Laboratory of Marine Geology, School of Ocean and Earth Science, Institute of Advanced Study, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Geology, School of Ocean and Earth Science, Institute of Advanced Study, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4391767744"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6612,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.96256378,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"58","issue":"2","first_page":"995","last_page":"1003"},"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.659668505191803},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.5137761235237122},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4972086250782013},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4700647294521332},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4479493796825409},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.41994065046310425},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.410342276096344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2486446499824524},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16124385595321655},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1381325125694275},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1147402822971344},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09638366103172302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659668505191803},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.5137761235237122},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4972086250782013},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4700647294521332},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4479493796825409},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.41994065046310425},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.410342276096344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2486446499824524},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16124385595321655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1381325125694275},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1147402822971344},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09638366103172302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2019.2942329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2942329","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2362496806","display_name":null,"funder_award_id":"2018QNRC001","funder_id":"https://openalex.org/F4320311778","funder_display_name":"China Association for Science and Technology"},{"id":"https://openalex.org/G486263576","display_name":"\u5730\u9707\u4fe1\u53f7\u8870\u51cf\u7279\u6027\u5206\u6790\u53ca\u9c81\u68d2Q\u503c\u4f30\u8ba1\u591a\u9053\u8865\u507f\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41874128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7750023186","display_name":null,"funder_award_id":"41604096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7808369620","display_name":null,"funder_award_id":"2018YFC0310104","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320311778","display_name":"China Association for Science and Technology","ror":"https://ror.org/035vmht26"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1525394424","https://openalex.org/W1878233654","https://openalex.org/W1926296959","https://openalex.org/W1981607562","https://openalex.org/W1990498189","https://openalex.org/W2014811863","https://openalex.org/W2042040926","https://openalex.org/W2068983339","https://openalex.org/W2111333160","https://openalex.org/W2115528090","https://openalex.org/W2133015712","https://openalex.org/W2133629708","https://openalex.org/W2135554828","https://openalex.org/W2137832649","https://openalex.org/W2151169043","https://openalex.org/W2171584283","https://openalex.org/W2249210872","https://openalex.org/W2259014849","https://openalex.org/W2281461674","https://openalex.org/W2321874743","https://openalex.org/W2323462082","https://openalex.org/W2327003257","https://openalex.org/W2474759111","https://openalex.org/W2491922633","https://openalex.org/W2566845625","https://openalex.org/W2591893663","https://openalex.org/W2741984561","https://openalex.org/W2742094683","https://openalex.org/W2774094138","https://openalex.org/W2791941428","https://openalex.org/W2894410771","https://openalex.org/W2897137065","https://openalex.org/W2913224593","https://openalex.org/W2942251381","https://openalex.org/W2963322354","https://openalex.org/W6631335611","https://openalex.org/W6654085518"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W2392739964","https://openalex.org/W2024913001"],"abstract_inverted_index":{"The":[0,31,58,87,111,145,169,212],"blended":[1,17,190],"acquisition":[2,13],"can":[3,61,70,106,163,215],"help":[4],"improve":[5,164],"the":[6,12,16,36,41,47,66,90,96,102,108,114,127,131,140,148,158,165,176,196,201,205,209],"seismic":[7,18,27,59,85,91,221],"data":[8,19,28,60,92,137,151,191,222],"quality":[9],"or":[10],"enhance":[11],"efficiency.":[14],"However,":[15,75],"should":[20],"first":[21],"be":[22,62,71,216],"separated":[23,213],"for":[24,73,83,218],"subsequent":[25,219],"traditional":[26,220],"processing":[29,223],"steps.":[30],"signal":[32,109],"is":[33,50,93,118,152,180],"coherent":[34],"in":[35,182,204],"common":[37],"receiver":[38],"domain,":[39],"and":[40,100,175,186,198,208],"blending":[42,48],"noise":[43],"shows":[44],"randomness":[45],"when":[46],"operator":[49],"constructed":[51],"using":[52],"a":[53,78],"random":[54],"time":[55],"delay":[56],"series.":[57],"characterized":[63],"sparsely":[64],"by":[65],"curvelet":[67,128],"transform":[68,129],"which":[69,162],"used":[72],"deblending.":[74],"it":[76],"has":[77],"high":[79],"computational":[80],"cost,":[81],"especially":[82],"large-volume":[84],"data.":[86,144],"spectrum":[88],"of":[89,113,139,147,200],"band-limited":[94],"with":[95,157],"conjugate":[97],"symmetry":[98],"property,":[99],"thus":[101],"principal":[103,115,132],"frequency":[104,116,133],"components":[105,117],"characterize":[107],"accurately.":[110],"size":[112,146],"at":[119,153],"least":[120,154],"halved.":[121],"Thus,":[122],"we":[123],"propose":[124],"to":[125,194],"implement":[126],"on":[130],"wavenumber":[134],"(PFK)":[135],"domain":[136,143,150,160],"instead":[138],"time-space":[141],"(TX)":[142],"PFK":[149],"halved":[155],"compared":[156],"TX":[159],"data,":[161],"deblending":[166,210],"efficiency":[167,177,206],"reasonably.":[168],"related":[170],"formulae":[171],"are":[172,192],"fully":[173],"derived":[174],"enhancement":[178],"analysis":[179],"provided":[181,193],"detail.":[183],"One":[184],"synthetic":[185],"two":[187],"field":[188],"artificially":[189],"demonstrate":[195],"validity":[197],"flexibility":[199],"proposed":[202],"method":[203],"improvement":[207],"performance.":[211],"gathers":[214],"beneficial":[217],"procedures.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
