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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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