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Found 5 papers, 0 papers with code
Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series
Here, we explore forecasting this thermal data stream from a deep learning perspective using existing architectures that model sequences with varying spatiotemporal considerations.
Ill-posed Surface Emissivity Retrieval from Multi-Geometry Hyperspectral Images using a Hybrid Deep Neural Network
Atmospheric correction errors can significantly alter the spectral signature of the observations, and lead to invalid classifications or target detection.
Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting
The central core of the AnEn technique is a similarity metric that sorts historical forecasts with respect to a new target prediction.
Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment
Meanwhile, by using IoT observations, the spatial resolution of air temperature predictions is significantly improved.
Probabilistic Forecasting using Deep Generative Models
In order to provide a meaningful probabilistic forecast, the AnEn method requires storing a historical set of past predictions and observations in memory for a period of at least several months and spanning the seasons relevant for the prediction of interest.
