Breeze Documentation Descriptors Descriptors 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. ×