A complete solution to utilise both spatial and spectral information in the classification process is provided by the integration of deep CNNs with PCA for feature extraction and dimensionality reduction.
deep-learning gis cnn remote-sensing feature-extraction pca semi-supervised-learning satellite-data hyperspectral-image-classification samson 3dcnn hyperspectral-images mixed-pixel-classification samson-dataset dataset-for-unmixing
-
Updated
Aug 28, 2023 - Jupyter Notebook