FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2925291093> ?p ?o ?g. }

• W2925291093 endingPage "6481" @default.
• W2925291093 startingPage "6464" @default.
• W2925291093 abstract "With the cloud scenario products from CloudSat, we developed a high spatiotemporal resolution cloud-type classification procedure for Himawari-8 multispectral datasets using maximum-likelihood estimation (MLE) and random forests (RF) classification. The training and classification procedures were processed independently, and both algorithms provided cloud-type results with a good performance. Validation indicated that the use of the visible (VIS) channel significantly improved the cloud-type identification capabilities, while the use of three or more channels simultaneously resulted in considerable improvements over the use of bispectral combinations. The comparison among different classifiers also revealed that RF was more sensitive than MLE to the quality and distribution of the training data. After retraining the RF using MLE-based clustered samples, we produced two more-reasonable and efficient classifiers that can be used during the day and night." @default.
• W2925291093 created "2019-04-01" @default.
• W2925291093 creator A5008304434 @default.
• W2925291093 creator A5035040847 @default.
• W2925291093 creator A5085249063 @default.
• W2925291093 date "2019-03-21" @default.
• W2925291093 modified "2023-10-18" @default.
• W2925291093 title "Development of a high spatiotemporal resolution cloud-type classification approach using Himawari-8 and CloudSat" @default.
• W2925291093 cites W1592436522 @default.
• W2925291093 cites W1613795631 @default.
• W2925291093 cites W1769732402 @default.
• W2925291093 cites W1969925700 @default.
• W2925291093 cites W1976978666 @default.
• W2925291093 cites W1984354264 @default.
• W2925291093 cites W1984536827 @default.
• W2925291093 cites W2006969023 @default.
• W2925291093 cites W2013689051 @default.
• W2925291093 cites W2025669240 @default.
• W2925291093 cites W2029739915 @default.
• W2925291093 cites W2045573816 @default.
• W2925291093 cites W2049670065 @default.
• W2925291093 cites W2052851671 @default.
• W2925291093 cites W2058280915 @default.
• W2925291093 cites W2059217921 @default.
• W2925291093 cites W2067304170 @default.
• W2925291093 cites W2068045477 @default.
• W2925291093 cites W2076358148 @default.
• W2925291093 cites W2076969699 @default.
• W2925291093 cites W2082534015 @default.
• W2925291093 cites W2085459416 @default.
• W2925291093 cites W2088514945 @default.
• W2925291093 cites W2090595392 @default.
• W2925291093 cites W2095773090 @default.
• W2925291093 cites W2103111834 @default.
• W2925291093 cites W2112582953 @default.
• W2925291093 cites W2114836436 @default.
• W2925291093 cites W2117947540 @default.
• W2925291093 cites W2119152356 @default.
• W2925291093 cites W2125201264 @default.
• W2925291093 cites W2133868929 @default.
• W2925291093 cites W2158682430 @default.
• W2925291093 cites W2173677759 @default.
• W2925291093 cites W2192152558 @default.
• W2925291093 cites W2261059368 @default.
• W2925291093 cites W2345254164 @default.
• W2925291093 cites W2412588858 @default.
• W2925291093 cites W2547118533 @default.
• W2925291093 cites W2619541826 @default.
• W2925291093 cites W2741847760 @default.
• W2925291093 cites W2802828972 @default.
• W2925291093 doi "https://doi.org/10.1080/01431161.2019.1594438" @default.
• W2925291093 hasPublicationYear "2019" @default.
• W2925291093 type Work @default.
• W2925291093 sameAs 2925291093 @default.
• W2925291093 citedByCount "10" @default.
• W2925291093 countsByYear W29252910932019 @default.
• W2925291093 countsByYear W29252910932020 @default.
• W2925291093 countsByYear W29252910932021 @default.
• W2925291093 countsByYear W29252910932022 @default.
• W2925291093 countsByYear W29252910932023 @default.
• W2925291093 crossrefType "journal-article" @default.
• W2925291093 hasAuthorship W2925291093A5008304434 @default.
• W2925291093 hasAuthorship W2925291093A5035040847 @default.
• W2925291093 hasAuthorship W2925291093A5085249063 @default.
• W2925291093 hasConcept C111919701 @default.
• W2925291093 hasConcept C116834253 @default.
• W2925291093 hasConcept C127162648 @default.
• W2925291093 hasConcept C153180895 @default.
• W2925291093 hasConcept C154945302 @default.
• W2925291093 hasConcept C169258074 @default.
• W2925291093 hasConcept C173163844 @default.
• W2925291093 hasConcept C205649164 @default.
• W2925291093 hasConcept C3020199158 @default.
• W2925291093 hasConcept C39432304 @default.
• W2925291093 hasConcept C41008148 @default.
• W2925291093 hasConcept C59822182 @default.
• W2925291093 hasConcept C62649853 @default.
• W2925291093 hasConcept C76155785 @default.
• W2925291093 hasConcept C79974875 @default.
• W2925291093 hasConcept C86803240 @default.
• W2925291093 hasConceptScore W2925291093C111919701 @default.
• W2925291093 hasConceptScore W2925291093C116834253 @default.
• W2925291093 hasConceptScore W2925291093C127162648 @default.
• W2925291093 hasConceptScore W2925291093C153180895 @default.
• W2925291093 hasConceptScore W2925291093C154945302 @default.
• W2925291093 hasConceptScore W2925291093C169258074 @default.
• W2925291093 hasConceptScore W2925291093C173163844 @default.
• W2925291093 hasConceptScore W2925291093C205649164 @default.
• W2925291093 hasConceptScore W2925291093C3020199158 @default.
• W2925291093 hasConceptScore W2925291093C39432304 @default.
• W2925291093 hasConceptScore W2925291093C41008148 @default.
• W2925291093 hasConceptScore W2925291093C59822182 @default.
• W2925291093 hasConceptScore W2925291093C62649853 @default.
• W2925291093 hasConceptScore W2925291093C76155785 @default.
• W2925291093 hasConceptScore W2925291093C79974875 @default.
• W2925291093 hasConceptScore W2925291093C86803240 @default.
• W2925291093 hasFunder F4320321001 @default.
• W2925291093 hasIssue "16" @default.

• next