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
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Updated
Aug 28, 2023 - Jupyter Notebook