5 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series
Jeremy Diaz, Guido Cervone, Christelle Wauthier
Active volcanoes are globally distributed and pose societal risks at multiple geographic scales, ranging from local hazards to regional/international disruptions. Many volcanoes do…
Ill-posed Surface Emissivity Retrieval from Multi-Geometry Hyperspectral Images using a Hybrid Deep Neural Network
Fangcao Xu, Jian Sun, Guido Cervone +1
Atmospheric correction is a fundamental task in remote sensing because observations are taken either of the atmosphere or looking through the atmosphere. Atmospheric correction err…
Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting
Weiming Hu, Guido Cervone, George Young +1
The Analog Ensemble (AnEn) technique has been shown effective on several weather problems. Unlike previous weather analogs that are sought within a large spatial domain and an exte…
Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment
Manzhu Yu, Fangcao Xu, Weiming Hu +2
The rising temperature is one of the key indicators of a warming climate, and it can cause extensive stress to biological systems as well as built structures. Due to the heat islan…