In this space, you will find descriptions of all the descriptors in Breeze.

Classification of categories — Classifies object into categories
Quantification of properties — Quantification of properties in a sample
Classification using expression — Use expressions to calculate properties of individual classes in a category.
Update classification using expression — Update or add custom-created classes. The update or new class will be assigned if the expression is satisfied.
Area of subsamples by a given class — Calculate the area of the given class in a sub-sample.
Combine properties, categories and descriptors using expression — Combine properties, categories, or descriptors using expression to calculate new properties and display them in the table view.
Constrained Spectral Unmixing (descriptor) — Use the spectral information to gain information about the objects and display them in the table view
Distribution of subsamples — Calculates the distribution of the subsamples in the measurement.
Distribution statistics of pixels (quantification of properties) — Calculate distribution statistics of quantification models.
MWL mapping — Minimum wavelength mapping
Metadata from measurement — Displays metadata in the table view.
Number of pixels by given class — Calculate the number of pixels from a selected class in the objects.
Number of subsamples — Counts the number of samples in the measurement at different depths of the analyze tree
Number of subsamples by a given class — Counts the number of objects in a given class from a specified subsample.
Python script (descriptor) — Add descriptor value from external python script
Row- or column-major order index — Create an index for row-major or column-major order when objects are arranged in a grid
Saturated pixels — Show the saturation for each pixel
Segmentation label — Label object according to text file
Spatial values from sample — Calculate the spatial value from samples in mm or by pixels for some predetermine spatial output.
Spectral angle mapper (SAM) classification — Use spectral angle maps for object classification
Statistics (quantification of properties) — Outputs average sample quantitative error per cent.
Statistics of pixels (quantification of properties) — Summaries the pixel statistics of the objects.
Summary of subsamples — Subsample are summarized and displayed in the table view
USGS PRISM MICA classification — Use the USGS library to classify the pixels in the images.
Unique measurement or sample ID — Displays the Id of the selected output in the table view.
Vegetation index — Determine the vegetation index by one of several predetermined equations.
White and dark reference values — Choose a reference (dark or white) and display the selected output in the table view.