vca

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jabarhabashi1 / Deep-Learning

Hyperspectral Mineral Mapping Toolbox transforms HSI scenes into mineral class and abundance maps via physics-guided spectral-library augmentation, adaptive Vertex Component Analysis, and compact 3-D CNN for spectral classification; validated on McMurdo Dry Valleys and configurable for EMIT, EnMAP etc, ensuring reproducibility across sensors.

python machine-learning ai deep-learning tensorflow numpy optimizer cnn remote-sensing convolutional-neural-networks research-paper augmentation hsi vca spectral-augmentaton