Extract Spectrum
Extract Spectrum retrieves spectral information from a selected location in the current hyperspectral datacube.
Overview
Extract Spectrum retrieves spectral information from a selected location in the current hyperspectral datacube.
- a spectrum from one image pixel
- a mean spectrum from a rectangular region of interest (ROI)
Existing extracted spectra are preserved, allowing multiple spectra to be compared on the same graph.
Defines the horizontal image position.
Valid values range from 1 to the image width.
Defines the vertical image position.
Valid values range from 1 to the image height.
Leave ROI width and ROI height empty.
IDCubePro extracts the complete spectrum from the selected X,Y pixel.
The corresponding image position is marked with a colored symbol.
Enter both ROI width and ROI height.
The X,Y coordinates define the upper-left origin of the rectangular ROI.
IDCubePro calculates the mean spectrum across all pixels inside the ROI.
The spectral plot also includes a standard-deviation envelope showing variation within the selected ROI.
Previously extracted spectra are not removed.
Each newly extracted spectrum receives a different plotting color.
- the standard-deviation envelope
This makes it easier to associate each image region with its spectrum.
The spectral X axis follows the current IDCubePro channel display mode.
If Wavelengths is selected, the X axis uses wavelength values.
If Bands/Channel is selected, the X axis uses band or channel numbers.
Both ROI width and ROI height must be entered together.
The ROI must remain completely inside the image boundaries.
Width and height must be positive numeric values.
1. Load a hyperspectral dataset.
3. Enter the desired X and Y position.
4. Leave width and height empty for a single pixel.
5. Enter width and height for an ROI mean spectrum.
7. Repeat extraction to compare additional locations.
Single-pixel spectra preserve the local spectral measurement but may contain more pixel-level noise.
ROI mean spectra generally provide more stable estimates by averaging neighboring pixels.
The standard-deviation envelope is useful for evaluating spectral variability within the ROI.
- Spectral Contrast Explorer
Close Extract Spectrum help.