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Without any knowledge of the information nested in a HS cube, targeted investigations are typically misleading (like spectra selection).
An unsupervised method to describe dominant spectroscopic information expressed as colour information can help to understand the general nature of existent information. Therefore, by knowledge of the preview information, targeted investigations are possible.

 

Function

The Preview method gives an unsupervised approach to extract information from HS cubes. The Preview method can be seen as a black box: The input is a hyperspectral cube and the output image a color image. Spectroscopic differences are shown in different color, while spectroscopic similarities are shown in similar colors. As huge as the color differences are, as huge are the spectroscopic differences in the spectra. Therefore 2 objects colored in very distinct color are spectroscopically distinct and can be expected to be chemically distinct. By co-investigating into preprocessing often a proper preprocessing method can be estimated - this preprocessing method might be fit best for modelling at which the resulted Preview image is shows the expectations of the user most.

User Interface

Workflow

  • Select a cube and study its preview visualization
  • E.g. apply pre-processing and in parallel compare results with your expectations
  • E.g. crop the scene to focus only on objects of interest.
  • E.g. set the scaling to selected spectra to arrange the colour contrast in the result
  • Save the model for later usage (e.g. to setup the live streaming)

Hints

Since the result is influenced by the value dynamic in the data, try to avoid discontinuities like reflections etc.
Use the Preview method interchangeably with different configurations of the hyperspectral preprocessing. The preprocessing method best describing an expected behavior might by the best choice for further processing.

Mentioned in:

Found 7 search result(s) for "preview method".

Page: Explore Hyperspectral Information (Manuals)
... 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 ... ...
Oct 10, 2019
Page: Crop Hyperspectral Data (Manuals)
... Crop process ensure the selected hyperspectral cube is shown most properly. The CCI Preview method is used for visualization of the hyperspectral cube. E.g. try different preprocessing options to get ... ...
Oct 10, 2019
Page: Merge Hyperspectral Data (Manuals)
... Merge process ensure the selected hyperspectral cube is shown most appropriately. The CCI Preview method is used for visualization of the hyperspectral cube. E.g. try different preprocessing options to get ... ...
Oct 10, 2019
Page: Select Spectra (Manuals)
... Spectra process ensure the selected hyperspectral cube is shown most properly. The CCI Preview method is used for visualization of the hyperspectral cube. E.g. try different preprocessing options to get ... ...
Oct 10, 2019
Page: Exploratory analysis of plastics (Manuals)
... information behind each pixel in the scene. plasticspreviewIntens.png Above image summarizes the output of the preview method gained from reflectance data, while the next image shows the preview of spectra of the 1st derivative. plasticspreviewI1stDer.png The preview method let us assume that all ...
Oct 10, 2019
Page: Model Hyperspectral Information (Manuals)
... from the Training Data Panel. In the Training Data Panel you should see the Preview of the selected hyperspectral data Please refer to the Preview Method documentation for further information. Consider to crop the data to get a reasonable data size ... ...
Oct 10, 2019
Page: Hyperspectral imaging step by step (Manuals)
... Model perspective → Select the data for the modelling process. → Choose from one modelling method available in the ribbon. → Develop a model and save it for later usage. Dependent on the application different ...
Dec 11, 2019



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