Code for the experiments on the Samson Dataset as presented in the paper: Hyperspectral Unmixing Using a Neural Network Autoencoder (Palsson et al. 2018)
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Updated
Sep 28, 2021 - Python
Code for the experiments on the Samson Dataset as presented in the paper: Hyperspectral Unmixing Using a Neural Network Autoencoder (Palsson et al. 2018)
Spectral Angle Mapper used to classify Hyperspectral Image
Official implementation of our NCC'24 paper titled "Semi‑NMF Regularization‑Based Autoencoder Training for Hyperspectral Unmixing".
Python computer vision pipelines for real-world applications: automated object counting, multispectral agricultural monitoring (NDVI), and underwater seabed classification.
Open-source hyperspectral mineral mapping — classical spectral matching with honest scorecards on Cuprite benchmark
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