Application of a Partial Convolutional Neural Network for Estimating Geostationary Aerosol Optical Depth Data (Training Code)
Yannic Lops, Arman Pouyaei, , Jia Jung, Ahmed Khan Salman &
We implemented a partial convolutional neural network for the imputation of missing remote sensing data. Below is the used for training the partial convolutional neural network (based on modified code from Mathias Gruber: https://github.com/MathiasGruber/PConv-Keras): YL_pconv_layer.py - code for the partial convolutional layer. YL_pconv_model.py - code for the partial convolution model. YL_Partial_Convolution_Training.py - code for training the partial convolutional model.
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