Standard Deviation Normalization

Overview

Applies the current IDCubePro standard-deviation scaling operation to

Current IDCubePro Implementation

IDCubePro calls MATLAB normalize(Image,'scale',2).

The operation changes the scale of the working data while retaining the spatial and spectral dimensions of the cube.

• A scale-adjusted representation is required.
• Comparing data with different numerical amplitudes.
• Preparing data for downstream numerical analysis.

Important

The resulting values are transformed numerical data and no longer represent the original intensity scale directly.

Use the same scaling procedure consistently across training, validation, test, or comparison datasets.

Workflow

1. Load a hyperspectral dataset.

2. Select Standard Deviation Normalization.

3. Allow processing to complete.

4. Inspect the transformed image and spectra.

5. Use Reset Filters when the original scale is required.