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Explainability in CNN Models By Means of Z-Scores
With the analysis the importance of MWR relative to SAR is found to favor MWR components.
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval
The Infrared Atmospheric Sounding Interferometer (IASI) on board the MetOp satellite series provides important measurements for Numerical Weather Prediction (NWP).
Spatial noise-aware temperature retrieval from infrared sounder data
We compare Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF) for dimensionality reduction, and study the compactness and information content of the extracted features.
Sparse-View Spectral CT Reconstruction Using Deep Learning
Furthermore, the results indicate that the network can exploit the coupling of the channels to enhance the overall quality and robustness.
Analyzing Learned Convnet Features with Dirichlet Process Gaussian Mixture Models
Convolutional Neural Networks (Convnets) have achieved good results in a range of computer vision tasks the recent years.
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