source code for paper titled "Subspace-based Preprocessing Module for Fast Hyperspectral Endmember Selection"
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Updated
Jul 27, 2022 - MATLAB
source code for paper titled "Subspace-based Preprocessing Module for Fast Hyperspectral Endmember Selection"
Source code for the paper titled "Spatial-Spectral Hyperspectral Endmember Extraction Using a Spatial Energy Prior"
Evaluation of machine learning algorithms on hyperspectral images of forests.
Evaluated the performance of 3 billion+ band combinations of 9 vegetation index types by conducting regression analysis to determine the optimal chlorophyll index for chlorophyll content estimation.
Simple GUI to load, preview, perform PCA and save spectral data from Hyperspectral images
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