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Spectra Insight™ Software  

Unlock the Power of Hyperspectral Data Analysis

OVERVIEW

 

Spectra Insight™ Software provides an all-in-one solution for acquiring, processing, and analyzing hyperspectral data from virtually any imaging spectrometer. With real-time spectral processing and an intuitive interface, you can easily search, cluster, classify, and visualize hyperspectral data. Whether you're working in agriculture, geology, or remote sensing, Spectra Insight is designed to simplify your data workflow while maintaining accuracy and efficiency.

Hyperspectral Imaging
Hyperspectral Cube

An image of the main application screen, showing a typical hyperspectral cube in the lower-left, cross-sections and histograms, with spectral data analysis options on the right, and spectral databases on the left. This will help users visualize what they can expect from the software.

Key Features

 

Spectral Search

 

Find the spectra you need—instantly. With just a click, Spectra Insight allows you to search for spectra across images and databases using a variety of similarity algorithms. 

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No Training, just click and search !!!

 

Types of searches:

  • Search image for pixel spectra.

  • Search image against database spectra.

  • Search databases for spectra.

 

Example: Search for Dillweed’s spectral signature across multiple images or datasets and compare results.

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Screenshots showing how to search for specific spectra within an image, including a search bar, selected pixels, and matching spectral signatures.

Clustering

 

Automatically find unique spectral clusters and regions across an image using unsupervised training methods like K-Means and DBSCAN. This feature allows you to easily segment your data without prior knowledge of the materials, saving you time and effort. 

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Classifying with AI

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Train and classify spectra using AI within an image by selecting spectra and adding labels. Use results from the clustering feature to automatically classify materials and objects in your dataset. This feature supports advanced machine learning models like Support Vector Machines (SVM).

Multiple Band Visualization

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Visualize your data using a variety of color palettes and RGB maps. Highlight specific spectra or regions by selecting unique color combinations and displaying multiple bands together.

 

Example: Select three bands from 2048 available wavelengths to create a custom visualization that highlights the unique properties of your data.

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Classification using AI of flora shown in the small lower image. The top image and  table on the right show the results.

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An image showing a custom RGB map with three bands selected from 2048 wavelengths to illustrate how users can create custom visualizations.

Data Reduction

 

Reduce your data to a manageable size for faster processing and analysis using techniques like Principal Component Analysis (PCA) or Boxcar filtering. This feature helps you simplify large datasets without losing critical information.

 

Example: Reduce 2048 wavelengths down to 40 principal components for faster, more efficient processing.

Image Rendering

 

Render your images as RGB maps by combining selected bands into one image. Choose from a variety of color palettes to create clear and detailed visualizations of your hyperspectral data.

 

Example: Create an RGB image from data acquired with a LW-NIR push-broom scanning spectrometer.

Spectral Databases

 

Easily compare your data against local and 3rd party spectral databases to identify materials and substances. Spectra Insight supports user-generated databases and integrates with external sources like the USGS Database.

 

Example: View different databases in separate tabs or explore them in a tree form for easy access.

Advanced Features

 

Spectral Band Math

 

Combine spectral bands with mathematical equations to generate entirely new images that enhance specific spectral features.

 

Applications:

 

  • Correct atmospheric effects.

  • Analyze vegetation health.

  • Map mineral deposits.

  • Conduct forestry and remote sensing studies.

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Version2, RGB Image 1.png

Screenshots of the spectral database features, showing multiple databases in tree and spreadsheet forms, ready for spectral comparisons.

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Version2, Database Pane 1.png

Animations

 

Visualize how your spectral data changes across any axis of the hyperspectral cube by creating animated sequences. This is ideal for understanding the dynamic relationships within your dataset.

 

Example: Create an animation that shows how spectra change along the X-plane of your data cube for a more interactive analysis.

A video of a spectral animation moving through different slices of the hyperspectral cube, showing dynamic spectral changes.

Summary

 

Spectra Insight™ Software provides everything you need to process, analyze, and visualize your hyperspectral data efficiently. With support for various spectral imagers and customizable workflows, it’s the perfect solution for scientists, researchers, and industry professionals looking to unlock the full potential of their hyperspectral datasets. Ready to see it in action? Contact us for a demo or check out our Gallery for real-world examples of how Spectra Insight can enhance your data analysis.

Ready to discover what hyperspectral imaging can do for you?

 

Contact us today to explore how Spectra Insight can provide solutions tailored to your needs. Visit our Gallery for examples of our work or request a demo from our team of experts.

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