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This page summarizes the Explore [Spectra] perspective of the Perception Studio program. Like the name suggests, the Explore perspective provides helpful tools when an exploratory investigation of hyperpsectral data has to be performed.


Typically we don’t know the spectral information nested in a HS Cube after acquisition. By exploring the cube data, we get information of the optical quality and get a first impression of spectral differences of scanned objects.

About the Explore Perspective

Read here about general information, about the arrangement of the GUI perspective and function categories in the ribbon menu.

In the Explore perspective of the Perception Studio program you can

  • explore the spatial distribution of spectral features
  • explore time-slice information
  • explore spectra per object pixel
  • apply preprocessing and
  • edit the hyperspectral cube

The ribbon on the top allows

  • to edit a loaded hyperspectral cube,
  • to apply spectral preprocessing to the data,
  • to switch between spectral features

On the left side of the perspective the project browser is located summarizing available data. Click on a data item to show it in the Explore perspective.
Below the project browser the selected data size is shown as well as descriptive parameters attached to the data set.

On the bottom of the selected perspective, spectra sets are shown. The originating pixels of the shown spectra sets correspond with the colored markers in the main view.

The main view shows the selected feature. In the example above the Preview feature is shown.
Right to the main view, the time-slice view is shown. It corresponds to the intersection of the cube by a plane at the time point and spatial positions denoted by the red line in the main view.


Spatial Distribution of Spectral Features

In the ribbon menu different spectral feature methods are accessible. When applied to the data, the resulting spectral feature is shown in the main view of this perspective.

Available feature methods:

  • CCI-Preview
    The Preview method gives an unsupervised approach to extract information from HS cubes. See further information here: CCI Preview Method.
  • Statistical Minimum
    It results in the statistical minimum of the spectral response per object pixel.
  • Statistical Maximum
    It results in the statistical maximum of the spectral response per object pixel.
  • Statistical Mean
    It results in the statistical mean of the spectral response per object pixel.
  • Statistical Dynamic
    It results in the statistical dynamic of the spectral response per object pixel.
    The dynamic is the difference of maximum and minimum.

The CCI-Preview Feature

The CCI-Preview feature is especially helpful when the spectral "nature" of objects in the scene has to get explored. Try to gain further insight into the results by using different preprocessing methods.
You might find objects which are spectrally similar, while others are distinct. Furthermore, you might find out what spectral preprocessing method best brings out the relevant information.

See also: Exploratory analysis of plastics.

The Statistical Features

The statistical features enable you to explore the distribution of spectral information from a statistical view point. The mean of a reflectance spectra correspond to the reflectance degree in the observed spectral region.
The dynamic of spectra allows you to understand what objects influence the spectral response most. The maximum feature is a helpful tool to recognize over saturated pixel areas.

See also: Exploratory analysis of plastics.

Time-Slice Information

For line-scan systems, a time slice of a HS cube holds information of one specific time point.

This is a helpful tool when an exploratory investigation into the quality of camera data has to get performed. Examples: explore optical distortion effects like smile and keystone, explore the sharpness, explore for existence of defect pixels, etc.

In the main view move the red line with your mouse and study the time-slice view to the right. The time-slice view corresponds to the intersection of the cube and a plane at the time point and the spatial positions denoted by the red line in the main view.

Spectra Per Object Pixel

Comparing the spectra from one object pixel to the next can give us an understanding of the noise content in the data and can give us an understanding of spectral differences.

Click on the Select tool within the Edit section of the ribbon menu and e.g. modify the selection. Selected spectra sets are shown in the Selected Spectra view at the bottom of this perspective.

Move your mouse in the main scene. The spectra of the pixel underneath the mouse is shown in white color.


© 2019 by Perception Park GmbH
The content of this page and any attached files are confidential and intended solely for the addressee(s). Any publication, transmission or other use of the information by a person or entity other than the intended addressee is prohibited. If you receive this in error please contact Perception Park and delete copied material. Perception Park GmbH, Wartingergasse 42, A-8010 Graz; Austria; FN 400381x

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