Descriptors

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

Area of subsamples — Calculate the area of the given class in a sub-sample.

Band math — Add arithmetic expressions with spectral bands

Classification of categories — Classifies object into categories

Classification using expression — Use expressions to calculate properties of individual classes in a category.

Clustering — Unsupervised cluster classification

Combine properties — Combine properties, categories, or descriptors using expression to calculate new properties and display them in the table view.

Combine RGB image — Combine descriptor values to three channel RGB image

Data slicing — Classify data based on descriptor value ranges

Distribution of subsamples — Calculates the distribution of the subsamples in the measurement.

Distribution statistics — Calculate distribution statistics of quantification models.

Dominant mineral — Show dominant mineral class category for pixel majority classification

Metadata from measurement — Displays metadata in the table view.

MICA expert system — Material Identification and Classification Algorithm Expert System

MWL mapping — Minimum wavelength mapping

PCA model — Unsupervised PCA model

Pixels by given class — Calculate the number of pixels from a selected class in the objects.

Python script (descriptor) — Add descriptor value from external python script

Quantification of properties — Quantification of properties in a sample

Model data (descriptor) — Show calculated model data in table for each training sample

Number of subsamples — Counts the number of samples in the measurement at different depths of the analyze tree

Registration depth — Show the registration depth

Row / column 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

Shape and size — Calculate the spatial value from samples in mm or by pixels for some predetermine spatial output.

Spectral angle mapper (descriptor) — Use spectral angle maps for object classification

Statistics (properties) — Outputs average sample quantitative error per cent.

Statistics of pixels (properties) — Summaries the pixel statistics of the objects.

Subsamples by given class — Counts the number of objects in a given class from a specified subsample.

Summary of subsamples — Subsample are summarized and displayed in the table view

Train / Test — Add column with information if data is in training set or test set

Unique ID (descriptor) — Displays the Id of the selected output in the table view.

Update classification (descriptor) — Update or add custom-created classes. The update or new class will be assigned if the expression is satisfied.

Unmixing (descriptor) — Use the spectral information to gain information about the objects and display them in the table view

Vegetation index — Determine the vegetation index by one of several predetermined equations.

White / dark values — Choose a reference (dark or white) and display the selected output in the table view.

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