{"id":"https://openalex.org/W3001868115","doi":"https://doi.org/10.2514/1.i010794","title":"Velocity Measurement Improvement of Landing Radar Considering Irradiated Surface Using Neural Networks","display_name":"Velocity Measurement Improvement of Landing Radar Considering Irradiated Surface Using Neural Networks","publication_year":2020,"publication_date":"2020-01-21","ids":{"openalex":"https://openalex.org/W3001868115","doi":"https://doi.org/10.2514/1.i010794","mag":"3001868115"},"language":"en","primary_location":{"id":"doi:10.2514/1.i010794","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i010794","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","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/A5084777659","display_name":"Moeko Hidaka","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Moeko Hidaka","raw_affiliation_strings":["Keio University, Yokohama 223-8522, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University, Yokohama 223-8522, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039641882","display_name":"Masaki Takahashi","orcid":"https://orcid.org/0000-0001-8138-041X"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Takahashi","raw_affiliation_strings":["Keio University, Yokohama 223-8522, Japan","Department of System Design Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University, Yokohama 223-8522, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Department of System Design Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059547798","display_name":"Takayuki Ishida","orcid":"https://orcid.org/0000-0002-6851-0598"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Ishida","raw_affiliation_strings":["Japan Aerospace Exploration Agency, Sagamihara 252-5210, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Aerospace Exploration Agency, Sagamihara 252-5210, Japan","institution_ids":["https://openalex.org/I2800865746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057924210","display_name":"Kazuki Kariya","orcid":null},"institutions":[{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Kariya","raw_affiliation_strings":["SOKENDAI (The Graduate University for Advanced Studies), Sagamihara 252-5210, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SOKENDAI (The Graduate University for Advanced Studies), Sagamihara 252-5210, Japan","institution_ids":["https://openalex.org/I200475212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049914036","display_name":"Takahide Mizuno","orcid":"https://orcid.org/0000-0003-2494-5319"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahide Mizuno","raw_affiliation_strings":["Japan Aerospace Exploration Agency, Sagamihara 252-5210, Japan","Japan Aerospace Exploration Agency"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Aerospace Exploration Agency, Sagamihara 252-5210, Japan","institution_ids":["https://openalex.org/I2800865746"]},{"raw_affiliation_string":"Japan Aerospace Exploration Agency","institution_ids":["https://openalex.org/I2800865746"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103911317","display_name":"Seisuke Fukuda","orcid":null},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seisuke Fukuda","raw_affiliation_strings":["Japan Aerospace Exploration Agency, Sagamihara 252-5210, Japan","Japan Aerospace Exploration Agency"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Aerospace Exploration Agency, Sagamihara 252-5210, Japan","institution_ids":["https://openalex.org/I2800865746"]},{"raw_affiliation_string":"Japan Aerospace Exploration Agency","institution_ids":["https://openalex.org/I2800865746"]}]}],"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":0.00901863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"5","first_page":"248","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10406","display_name":"Planetary Science and Exploration","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10406","display_name":"Planetary Science and Exploration","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9714999794960022,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/terrain","display_name":"Terrain","score":0.7808079719543457},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6424234509468079},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5622593760490417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.547291100025177},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5196177363395691},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.505064070224762},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.47469040751457214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45457902550697327},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4493716359138489},{"id":"https://openalex.org/keywords/impact-crater","display_name":"Impact crater","score":0.4418468177318573},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4378666877746582},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4015243947505951},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.37951695919036865},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.3411436080932617},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12240749597549438},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08423960208892822},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0820990800857544}],"concepts":[{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.7808079719543457},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6424234509468079},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5622593760490417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.547291100025177},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5196177363395691},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.505064070224762},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.47469040751457214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45457902550697327},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4493716359138489},{"id":"https://openalex.org/C179537507","wikidata":"https://www.wikidata.org/wiki/Q55818","display_name":"Impact crater","level":2,"score":0.4418468177318573},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4378666877746582},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4015243947505951},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.37951695919036865},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.3411436080932617},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12240749597549438},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08423960208892822},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0820990800857544},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2514/1.i010794","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i010794","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W371406993","https://openalex.org/W1969324628","https://openalex.org/W2011544077","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2147800946","https://openalex.org/W2253429366","https://openalex.org/W2531174837","https://openalex.org/W2559655401","https://openalex.org/W2789436454","https://openalex.org/W2790442549","https://openalex.org/W2910137808"],"related_works":["https://openalex.org/W2625809971","https://openalex.org/W1663847441","https://openalex.org/W2768493687","https://openalex.org/W2170886505","https://openalex.org/W1969484083","https://openalex.org/W2743845306","https://openalex.org/W2792375831","https://openalex.org/W2386713424","https://openalex.org/W3170601672","https://openalex.org/W1663871082"],"abstract_inverted_index":{"In":[0,112],"this":[1,97,161,186],"study,":[2],"a":[3,11,21,47,62,79],"signal-processing":[4],"method":[5,137,148],"for":[6],"the":[7,26,32,38,40,44,52,69,75,82,89,113,124,130,141,146,155,166,179],"landing":[8,41,72],"radar":[9,42,73],"of":[10,25,71,81,126,157],"lunar":[12],"lander":[13],"is":[14,34,94],"proposed":[15,95,114],"using":[16,108],"deep":[17],"learning.":[18],"To":[19,36],"perform":[20],"precise":[22],"landing,":[23],"measurement":[24,56,90,131,142,180],"relative":[27],"velocity":[28],"with":[29,46,102,145],"respect":[30],"to":[31,122,164],"surface":[33,45],"essential.":[35],"measure":[37],"velocity,":[39],"irradiates":[43],"pulse":[48,84],"wave":[49,85],"and":[50,86,169],"observes":[51],"Doppler":[53],"shift.":[54],"High-precision":[55],"on":[57,105,129],"complex":[58,106],"terrains,":[59],"such":[60],"as":[61,119],"crater":[63],"or":[64],"slope,":[65],"has":[66],"always":[67],"been":[68],"problem":[70],"because":[74],"irradiated":[76,127,171],"terrain":[77,128,172],"causes":[78],"deformation":[80],"reflected":[83],"strongly":[87],"affects":[88],"accuracy.":[91],"A":[92],"system":[93],"in":[96],"study":[98],"that":[99,135,178],"performs":[100],"measurements":[101],"high":[103],"accuracy":[104,143,181],"terrains":[107],"convolutional":[109],"neural":[110],"networks.":[111],"method,":[115],"spectrograms":[116],"are":[117],"used":[118],"input":[120,170],"data":[121,173],"consider":[123],"effect":[125],"data.":[132],"Experiments":[133],"show":[134],"our":[136],"not":[138],"only":[139],"improves":[140],"compared":[144],"existing":[147],"but":[149],"also":[150],"can":[151],"be":[152],"implemented":[153],"from":[154],"viewpoint":[156],"execution":[158],"time.":[159],"Moreover,":[160],"paper":[162],"attempted":[163],"deepen":[165],"network":[167],"architecture":[168],"simultaneously.":[174],"It":[175],"was":[176,182],"confirmed":[177],"further":[183],"improved":[184],"by":[185],"enhancement.":[187]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
