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Principal Component as a tool for Dimensionality Reduction using Hyperspectral images
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******Implemented in duration October 2017 in MATLAB****** Principal Component Analysis implementation using Matlab Environment used : Matlab R2016a/Octave Input : Satellite Images (Multispectral/Hyperspectral) Output : Displays the principal components. Allows user to retain user specified principal components for image reconstruction. Implementation as a part of Satellite Image processing Course Run the PCT.m file
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Principal Component as a tool for Dimensionality Reduction using Hyperspectral images
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