Name
Title | ||
|---|---|---|
Rain-Type Classification From Microwave Satellite Observations Using Deep Neural Network Segmentation |
Abstract | ||
|---|---|---|
The understanding of different characteristics of the stratiform and convective system is important for meteorological research, including precipitation retrievals from satellite observations, precipitation parameterization in numerical prediction models, and precipitation climatology. In this study, the possibility of discriminating rain types using deep learning techniques is examined using sate... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LGRS.2020.3016001 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Rain,Microwave theory and techniques,Microwave imaging,Microwave radiometry,Land surface,Ocean temperature,Microwave FET integrated circuits | Journal | 18 |
Issue | ISSN | Citations |
12 | 1545-598X | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yeji Choi | 1 | 0 | 3.72 |
| Seongchan Kim | 2 | 0 | 0.34 |