{"id":"https://openalex.org/W2071867749","doi":"https://doi.org/10.1109/igarss.2015.7326347","title":"NUBF correction methods for the GPM/DPR level-2 algorithms","display_name":"NUBF correction methods for the GPM/DPR level-2 algorithms","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2071867749","doi":"https://doi.org/10.1109/igarss.2015.7326347","mag":"2071867749"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5113108058","display_name":"Shinta Seto","orcid":null},"institutions":[{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shinta Seto","raw_affiliation_strings":["Nagasaki University, Japan","Nagasaki University,Japan"],"affiliations":[{"raw_affiliation_string":"Nagasaki University, Japan","institution_ids":["https://openalex.org/I43777268"]},{"raw_affiliation_string":"Nagasaki University,Japan","institution_ids":["https://openalex.org/I43777268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017584774","display_name":"Toshio Iguchi","orcid":"https://orcid.org/0000-0001-6775-4286"},"institutions":[{"id":"https://openalex.org/I4210151344","display_name":"National Institute on Consumer Education","ror":"https://ror.org/03y6p7b93","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210151344"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshio Iguchi","raw_affiliation_strings":["NICT, Japan"],"affiliations":[{"raw_affiliation_string":"NICT, Japan","institution_ids":["https://openalex.org/I4210151344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064931873","display_name":"Tatsuya Shimozuma","orcid":null},"institutions":[{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Shimozuma","raw_affiliation_strings":["Nagasaki University, Japan","Nagasaki University,Japan"],"affiliations":[{"raw_affiliation_string":"Nagasaki University, Japan","institution_ids":["https://openalex.org/I43777268"]},{"raw_affiliation_string":"Nagasaki University,Japan","institution_ids":["https://openalex.org/I43777268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034633385","display_name":"S. HAYASHI","orcid":"https://orcid.org/0000-0003-4895-4893"},"institutions":[{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shota Hayashi","raw_affiliation_strings":["Nagasaki University, Japan","Nagasaki University,Japan"],"affiliations":[{"raw_affiliation_string":"Nagasaki University, Japan","institution_ids":["https://openalex.org/I43777268"]},{"raw_affiliation_string":"Nagasaki University,Japan","institution_ids":["https://openalex.org/I43777268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113108058"],"corresponding_institution_ids":["https://openalex.org/I43777268"],"apc_list":null,"apc_paid":null,"fwci":0.6665,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.72210553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2612","last_page":"2614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10655","display_name":"GNSS positioning and interference","score":0.991100013256073,"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/algorithm","display_name":"Algorithm","score":0.6100154519081116},{"id":"https://openalex.org/keywords/gamma-distribution","display_name":"Gamma distribution","score":0.5213150382041931},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.4655367434024811},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4583553373813629},{"id":"https://openalex.org/keywords/rain-rate","display_name":"Rain rate","score":0.45823293924331665},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4367740750312805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4005892872810364},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3392307758331299},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33729177713394165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3350565433502197},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2707703113555908},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13692307472229004},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12554490566253662},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10907655954360962},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08538064360618591},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08319839835166931}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6100154519081116},{"id":"https://openalex.org/C149717495","wikidata":"https://www.wikidata.org/wiki/Q117806","display_name":"Gamma distribution","level":2,"score":0.5213150382041931},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.4655367434024811},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4583553373813629},{"id":"https://openalex.org/C2983795465","wikidata":"https://www.wikidata.org/wiki/Q7925","display_name":"Rain rate","level":3,"score":0.45823293924331665},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4367740750312805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4005892872810364},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3392307758331299},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33729177713394165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3350565433502197},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2707703113555908},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13692307472229004},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12554490566253662},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10907655954360962},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08538064360618591},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08319839835166931},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337712","display_name":"Solar Energy Technologies Office","ror":"https://ror.org/033jmdj81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2027594243","https://openalex.org/W2046573063"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2013332237","https://openalex.org/W1522259561","https://openalex.org/W2295517574","https://openalex.org/W2013068755","https://openalex.org/W2040029301","https://openalex.org/W2126235072","https://openalex.org/W3213836427","https://openalex.org/W1718780667","https://openalex.org/W2165859383"],"abstract_inverted_index":{"For":[0],"the":[1,24,39,46,88,97,104],"GPM/DPR":[2],"Level-2":[3],"standard":[4],"algorithms,":[5],"Non-uniform":[6],"beam":[7],"filling":[8],"(NUBF)":[9],"correction":[10],"methods":[11],"are":[12,18,68],"developed.":[13],"Two":[14],"types":[15],"of":[16,26,42,49,57,63,65,79,106],"NUBF":[17,52],"considered.":[19],"The":[20,35],"first":[21,98],"model":[22,37,90,99],"is":[23,38,85],"coexistence":[25],"rain":[27,43,47,58,66,107],"area":[28,31,48],"and":[29,60],"no-rain":[30],"in":[32,45,72,94],"an":[33,50],"FOV.":[34,51],"second":[36,89],"gamma":[40],"distribution":[41],"rates":[44],"parameters":[53],"p":[54],"(the":[55],"ratio":[56],"area)":[59],"cr(the":[61],"coefficient":[62],"variation":[64],"rates)":[67],"estimated":[69],"not":[70],"only":[71],"a":[73],"fractal":[74],"method":[75],"but":[76],"by":[77],"use":[78],"SRTs":[80],"(dual-frequency":[81],"algorithm":[82],"only).":[83],"It":[84],"suggested":[86],"that":[87],"gives":[91],"better":[92],"results":[93],"general,":[95],"though":[96],"may":[100],"be":[101],"useful":[102],"at":[103],"edge":[105],"area.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}