Artificial neural-network technique for precipitation nowcasting from satellite imagery
نویسندگان
چکیده
منابع مشابه
Artificial neural-network technique for precipitation nowcasting from satellite imagery
The term nowcasting reflects the need of timely and accurate predictions of risky situations related to the development of severe meteorological events. In this work the objective is the very short term prediction of the rainfall field from geostationary satellite imagery entirely based on neural network approach. The very short-time prediction (or nowcasting) process consists of two steps: fir...
متن کاملImplementation of Artificial Neural Network (SOFM) for future prediction in Satellite Imagery
-In the current scenario in Time Series Prediction, Artificial Neural Network have gained a lot of interest due to their ability to learn effectively about the dependencies which are non-linear, from a large amount of possibly noisy data using a learning algorithm. The Kohonen’s standard, Self-Organizing Map (SOM) is adopted for exploratory temporal structure analysis. From this temporal sequen...
متن کاملExperimental Study of Artificial Neural Network for Geometric Rectification of Satellite Imagery
In this paper, series of experimental studies about the neural network model for whiskbroom remote sensing imagery geometry correction methods based on BPNN (Back-Propagation Neural Networks) and RBFNN (Radial Basis Functions Neural Networks) with detailed algorithm were raised initially, which were presented on the focus of the establishment of the neural network model for geometric correction...
متن کاملAutomatic Eddy Extraction from Sst Imagery Using Artificial Neural Network
Mesoscale eddies have a significant impact on the exchange of material and energy in the ocean, and thus their knowledge are of great importance for the study of oceanic circulation. Images of sea surface temperature (SST) created from satellite infrared sensors are used to detect mesoscale eddies that have a surface signature in temperature. Various techniques, including texture analysis, wave...
متن کاملConvolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
The goal of precipitation nowcasting is to predict the future rainfall intensity in a local region over a relatively short period of time. Very few previous studies have examined this crucial and challenging weather forecasting problem from the machine learning perspective. In this paper, we formulate precipitation nowcasting as a spatiotemporal sequence forecasting problem in which both the in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Geosciences
سال: 2006
ISSN: 1680-7359
DOI: 10.5194/adgeo-7-97-2006