{"id":"https://openalex.org/W2794112675","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302029","title":"Deriving sea surface wind from synthetic aperture radar based on Fourier transform and neural network","display_name":"Deriving sea surface wind from synthetic aperture radar based on Fourier transform and neural network","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2794112675","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302029","mag":"2794112675"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5100382746","display_name":"Lihua Wang","orcid":"https://orcid.org/0000-0003-1753-9021"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lihua Wang","raw_affiliation_strings":["College of Resources and Environment, Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074786598","display_name":"Peng L\u00fc","orcid":"https://orcid.org/0000-0002-9773-3993"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Lu","raw_affiliation_strings":["College of GeoExploration Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of GeoExploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057753301","display_name":"Jiapei Ma","orcid":"https://orcid.org/0000-0001-8146-5763"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiapei Ma","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100382746"],"corresponding_institution_ids":["https://openalex.org/I24201400"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.18353779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.6869063973426819},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6812566518783569},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6662919521331787},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6050337553024292},{"id":"https://openalex.org/keywords/wind-direction","display_name":"Wind direction","score":0.5666425228118896},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5132520198822021},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5045112371444702},{"id":"https://openalex.org/keywords/inverse-transform-sampling","display_name":"Inverse transform sampling","score":0.4958404004573822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3747364282608032},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.36446142196655273},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34952670335769653},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.32355207204818726},{"id":"https://openalex.org/keywords/surface-wave","display_name":"Surface wave","score":0.20550960302352905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15715304017066956},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11220505833625793},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07858818769454956}],"concepts":[{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.6869063973426819},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6812566518783569},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6662919521331787},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6050337553024292},{"id":"https://openalex.org/C107775477","wikidata":"https://www.wikidata.org/wiki/Q1057900","display_name":"Wind direction","level":3,"score":0.5666425228118896},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5132520198822021},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5045112371444702},{"id":"https://openalex.org/C143606050","wikidata":"https://www.wikidata.org/wiki/Q1377019","display_name":"Inverse transform sampling","level":3,"score":0.4958404004573822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3747364282608032},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.36446142196655273},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34952670335769653},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.32355207204818726},{"id":"https://openalex.org/C84174578","wikidata":"https://www.wikidata.org/wiki/Q889796","display_name":"Surface wave","level":2,"score":0.20550960302352905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15715304017066956},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11220505833625793},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07858818769454956},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.6200000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311826","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W2055397645","https://openalex.org/W2058854444","https://openalex.org/W2110279975","https://openalex.org/W2127016924","https://openalex.org/W2131694318","https://openalex.org/W2138783437","https://openalex.org/W2343274691","https://openalex.org/W2364057529","https://openalex.org/W2368132198","https://openalex.org/W2382286452","https://openalex.org/W2383123565","https://openalex.org/W2385007885","https://openalex.org/W2566003805","https://openalex.org/W2573054668","https://openalex.org/W4285719527","https://openalex.org/W7017289573"],"related_works":["https://openalex.org/W2044527509","https://openalex.org/W3151319332","https://openalex.org/W2369339301","https://openalex.org/W3093557447","https://openalex.org/W2377084220","https://openalex.org/W4293147659","https://openalex.org/W2378498423","https://openalex.org/W1981223537","https://openalex.org/W4308342250","https://openalex.org/W2390674751"],"abstract_inverted_index":{"The":[0,116,152,178,193],"acquisition":[1],"of":[2,8,101,130,146,150,185,190,197],"sea":[3,19,55,74,135,160],"surface":[4,56,75,136],"wind":[5,50,57,76,86,105,137,179,200,208],"information":[6],"is":[7,155,164],"great":[9],"value":[10],"for":[11,207],"marine":[12],"activities,":[13],"such":[14],"as":[15,81],"navigation,":[16],"fishing":[17],"and":[18,33,97,126,175,195,204],"operations.":[20],"In":[21],"this":[22],"paper,":[23],"the":[24,29,54,70,99,104,120,128,134,158,169,198],"ERS-2":[25],"SAR":[26,109,121],"data,":[27],"covering":[28],"Yangtze":[30],"River":[31],"estuary":[32],"its":[34],"adjacent":[35],"waters":[36],"at":[37],"around":[38],"10:30":[39],"local":[40],"time":[41],"on":[42,62],"March":[43],"15,":[44],"2007,":[45],"was":[46],"applied":[47,80],"to":[48,84],"retrieve":[49],"fields.":[51],"We":[52],"improved":[53,199],"direction":[58,138,201],"inversion":[59,122,153,202],"algorithm":[60,203],"based":[61],"two":[63],"dimensions":[64],"Fast":[65],"Fourier":[66],"Transform":[67],"(2DFFT)":[68],"in":[69,157,168],"spectral":[71],"domain.":[72],"These":[73],"directions":[77],"were":[78,110],"then":[79],"input":[82],"parameters":[83],"derive":[85],"speeds":[87],"employing":[88],"Back":[89],"Propagation":[90],"Neural":[91],"Network":[92],"(BPNN)":[93],"method.":[94],"To":[95],"present":[96],"testify":[98],"applicability":[100],"these":[102],"algorithms,":[103],"fields":[106],"derived":[107],"from":[108],"validated":[111],"with":[112],"QuikSCAT":[113],"SeaWinds-1":[114],"measurements.":[115],"results":[117,123],"show":[118],"that":[119],"are":[124,210],"reliable,":[125],"within":[127],"range":[129],"error":[131,145,149,184,189],"tolerance.":[132],"Specifically,":[133],"has":[139,181],"a":[140,182],"root":[141],"mean":[142],"square":[143],"(RMS)":[144],"9.21\u00b0,":[147],"maximum":[148,188],"24.2\u00b0.":[151],"accuracy":[154],"higher":[156],"open":[159],"area.":[161],"Whereas,":[162],"it":[163],"not":[165],"really":[166],"good":[167],"area":[170],"affected":[171],"by":[172],"land,":[173],"ship,":[174],"other":[176],"artifacts.":[177],"velocity":[180],"RMS":[183],"1.74":[186],"m/s,":[187],"3.8":[191],"m/s.":[192],"effectiveness":[194],"reliability":[196],"BPNN":[205],"method":[206],"speed":[209],"demonstrated.":[211]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}