HyperSee Hyperspectral Image Analysis Software

How do you extract meaningful information form hyperspectral images? HyperSee image processing software provides an intuitive user friendly path through the complexities of hyperspectral image exploration and the development of robust prediction models for either image feature classification or chemical component quantification.

HyperSee Feature Summary

• A wide assortment of sample region selection tools simplifies the measurement of even highly irregular shaped objects
  
  
• Sample spectral libraries can be archived and subsequently added or deleted from
  
  
• Unique algorithms split spectral library data into model training and testing subsets
  
  
• Innovative data visualization tools for interactive data exploration and manipulation of modeling parameters
  
  
• Easily interpretable displays and controls for both beginning and advanced users
  
  
• Models can be saved for use in predictions of independent hyperspectral image data
  
  
• Spectral data sets, models, and resulting prediction image maps can all be saved in a MATLAB compatible file format