Principal Component Analysis (PCA) on LANDSAT-8 imagery

Step's that we have followed;

1. Create a composite of bands. In our case, we have created a
composite of 11 bands of LANDSAT-8 images (Dated: 26-12-2020).

2. Convert each band into a column vector.
We will get an array of size n x p. Where p=11 in our case.

3. Standardise the data and apply PCA.

4. Reconstruct the original data.