Spectra Insight™ Software
Main Application Screen: Menu (top), database (left), Image plane of selected bandwidth(s) with cross-sections and histogram (middle), Spectrum at cursor position (upper right), Statistics of entire cube (lower right).
Click image to enlarge.
Hyperspectral Cube:
Display as 3D X-Ray,
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OVERVIEW
Spectral Insight acquires and processes spectral data in near-real time from virtually any imaging spectrometer. Spectral data can be imported from 3rd party sources for analysis. Image size/resolution and spectral range/resolution are limited only by the imaging spectrometer.
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SPECTRAL SEARCH
Search for spectra using a variety of selectable similarity algorithms. Search across multiple images and databases.
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Search image for pixel spectra
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Search image for database spectra
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Search Database for image spectra
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Search Database for Database spectra
No Training, just click and search !!!
Example: Dillweed was searched
CLUSTERING: Unsupervised Training
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Find unique spectral clusters/regions automatically across an image.
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K-Means clustering
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DBSCAN clustering
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CLASSIFYING: Supervised Training
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Train/Classify spectra using (AI) within in image by selecting spectra and adding labels. Or use labeled cluster results for automatic classification.
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Support Vector Machine (SVN)
MULIPLE BAND VISUALIZATION
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Highlight unique spectra and regions through a variety of color palettes and RGB color maps.
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Display and number of bands
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User selectable color palettes
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Combine any collection of band
Example: Three bands selected out of 2048 wavelengths
DATA REDUCTION
Reduce data into a manageable range and format for fast processing.
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Principle Component Analysis
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Polynomial Coefficients
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Boxcar
Example: 2048 wavelengths reduced to 40 principle components
IMAGE RENDERING
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RGB Rendering of selected bands
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Choose from a multitude of palettes
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Combine multiple bands into one
Example: Image was acquired with a LW-NIR push-broom scanning spectrometer, and displayed as an RGB image.
SPECTRAL DATABASES
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User generated spectra databases
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3rd party databases
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Trained classifier databases
Example: USGS Database. Each Tab is a different database. Databases also shown in Tree form.
SPECTRAL BAND MATH
By combining selected bands with selectable equations, completely new images are generated enhancing spectral features.
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Enhance spectral features
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Correct atmospheric effects
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Gage moisture content
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Vegetation Analysis
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Forestry
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Astronomy
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Remote Sensing
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Mineral and Geological Mapping
ANIMATIONS
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Quickly visualize thousands of data planes in the X, Y, and Z directions.
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Movies through any slice of the Hyperspectral Cube in the X, Y, and Z planes
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Volumetric representation of the entire Hyperspectral Cube or a selection of bands.
Example: An animation movie along the X Plane, shows how spectra change along the plane.