Matches in SemOpenAlex for { <https://semopenalex.org/work/W3158974144> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W3158974144 endingPage "5337" @default.
- W3158974144 startingPage "5317" @default.
- W3158974144 abstract "Precipitation estimation with high spatial and temporal resolution is very important for monitoring floods and natural disasters. At present, a couple of quantitative precipitation estimation products and research methods can successfully estimate precipitation at one hourly temporal resolution. In this study, a deep learning model based on Convolutional Neural Network (CNN) was proposed to estimate the precipitation intensity based on the hyperspectral satellite FengYun-4/Advanced Geostationary Radiation Imager (FY-4A), and the temporal resolution is reduced to half an hour. Firstly, the importance of different channels and channel differences for precipitation intensity estimation was determined by ablation experiments. Secondly, compared with the existing model Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Convolutional Neural Networks (PERSIANN-CNN) and U-Net. The experimental results show that Small Wisely Network (SW-Net) provides more accurate precipitation intensity estimation, compared with PERSIANN-CNN (U-Net) in the same spatial and temporal resolutions. SW-Net outperformed PERSIANN-CNN (U-Net) by 5.9439% (5.6298%) and 6.3600 (5.8400) percentage points in the loss value and Mean Intersection over Union (MIoU), demonstrating the better feature extraction performance of the model. Furthermore, the False Alarm Ratio (FAR) of precipitation estimation with respect to Global Precipitation Measurement (GPM) Integrated Multi-satellite Retrievals for GPM (GPM-IMERG), for SW-Net was lower than that of PERSIANN-CNN (U-Net) by 49.2132% (49.4302%), showing the higher accuracy of proposed model." @default.
- W3158974144 created "2021-05-10" @default.
- W3158974144 creator A5006971815 @default.
- W3158974144 creator A5032005444 @default.
- W3158974144 creator A5060971549 @default.
- W3158974144 creator A5073323121 @default.
- W3158974144 date "2021-04-25" @default.
- W3158974144 modified "2023-09-23" @default.
- W3158974144 title "Estimation of precipitation intensity based on small wisely network (SW-Net)" @default.
- W3158974144 cites W1970538633 @default.
- W3158974144 cites W2024568657 @default.
- W3158974144 cites W2035217628 @default.
- W3158974144 cites W2048560111 @default.
- W3158974144 cites W2054981061 @default.
- W3158974144 cites W2082872569 @default.
- W3158974144 cites W2099270539 @default.
- W3158974144 cites W2100251801 @default.
- W3158974144 cites W2109255472 @default.
- W3158974144 cites W2110198356 @default.
- W3158974144 cites W2114155139 @default.
- W3158974144 cites W2119803205 @default.
- W3158974144 cites W2139347645 @default.
- W3158974144 cites W2143056844 @default.
- W3158974144 cites W2207849498 @default.
- W3158974144 cites W2260021327 @default.
- W3158974144 cites W2560023338 @default.
- W3158974144 cites W2590366910 @default.
- W3158974144 cites W2592939477 @default.
- W3158974144 cites W2784731895 @default.
- W3158974144 cites W2962949934 @default.
- W3158974144 cites W2964309882 @default.
- W3158974144 cites W2977666392 @default.
- W3158974144 cites W2980276221 @default.
- W3158974144 cites W3034328552 @default.
- W3158974144 cites W3082059999 @default.
- W3158974144 cites W3106370744 @default.
- W3158974144 doi "https://doi.org/10.1080/01431161.2021.1913297" @default.
- W3158974144 hasPublicationYear "2021" @default.
- W3158974144 type Work @default.
- W3158974144 sameAs 3158974144 @default.
- W3158974144 citedByCount "1" @default.
- W3158974144 countsByYear W31589741442021 @default.
- W3158974144 crossrefType "journal-article" @default.
- W3158974144 hasAuthorship W3158974144A5006971815 @default.
- W3158974144 hasAuthorship W3158974144A5032005444 @default.
- W3158974144 hasAuthorship W3158974144A5060971549 @default.
- W3158974144 hasAuthorship W3158974144A5073323121 @default.
- W3158974144 hasConcept C107054158 @default.
- W3158974144 hasConcept C127413603 @default.
- W3158974144 hasConcept C146978453 @default.
- W3158974144 hasConcept C153294291 @default.
- W3158974144 hasConcept C154945302 @default.
- W3158974144 hasConcept C16405173 @default.
- W3158974144 hasConcept C19269812 @default.
- W3158974144 hasConcept C205649164 @default.
- W3158974144 hasConcept C29278236 @default.
- W3158974144 hasConcept C39432304 @default.
- W3158974144 hasConcept C41008148 @default.
- W3158974144 hasConcept C62649853 @default.
- W3158974144 hasConcept C81363708 @default.
- W3158974144 hasConceptScore W3158974144C107054158 @default.
- W3158974144 hasConceptScore W3158974144C127413603 @default.
- W3158974144 hasConceptScore W3158974144C146978453 @default.
- W3158974144 hasConceptScore W3158974144C153294291 @default.
- W3158974144 hasConceptScore W3158974144C154945302 @default.
- W3158974144 hasConceptScore W3158974144C16405173 @default.
- W3158974144 hasConceptScore W3158974144C19269812 @default.
- W3158974144 hasConceptScore W3158974144C205649164 @default.
- W3158974144 hasConceptScore W3158974144C29278236 @default.
- W3158974144 hasConceptScore W3158974144C39432304 @default.
- W3158974144 hasConceptScore W3158974144C41008148 @default.
- W3158974144 hasConceptScore W3158974144C62649853 @default.
- W3158974144 hasConceptScore W3158974144C81363708 @default.
- W3158974144 hasFunder F4320321001 @default.
- W3158974144 hasIssue "14" @default.
- W3158974144 hasLocation W31589741441 @default.
- W3158974144 hasOpenAccess W3158974144 @default.
- W3158974144 hasPrimaryLocation W31589741441 @default.
- W3158974144 hasRelatedWork W1246568850 @default.
- W3158974144 hasRelatedWork W2024862785 @default.
- W3158974144 hasRelatedWork W2119259894 @default.
- W3158974144 hasRelatedWork W2172995526 @default.
- W3158974144 hasRelatedWork W2370844195 @default.
- W3158974144 hasRelatedWork W265541228 @default.
- W3158974144 hasRelatedWork W2902501997 @default.
- W3158974144 hasRelatedWork W3000375899 @default.
- W3158974144 hasRelatedWork W3176964402 @default.
- W3158974144 hasRelatedWork W2103167184 @default.
- W3158974144 hasVolume "42" @default.
- W3158974144 isParatext "false" @default.
- W3158974144 isRetracted "false" @default.
- W3158974144 magId "3158974144" @default.
- W3158974144 workType "article" @default.