Analyze

Perform image analysis on pixel and object level where you have continuous variables (e.g. %, mg/l etc) using available methods

Large selection of models that can be manually selected and auto function that proposes the best model based on cross validation. Available models: Neural network Decision tree Support vector machine Random forest Logistic regression Maximum entropy Poisson regression Linear Regression

Chemometrics models are powerful and fast tools for analysis, diagnostics and visualisation of your data. Available models: PLS PLS-DA Hierarchical PLS-DA,  SIMCA,  PCA,  K-means Gaussian mixture mode

Generate your own end member spectra in the software or import existing spectral libraries. Then compare with your hyperspectral data to perform the analysis. Available models: Constrained Spectral unmixing and Spectral angle mapper

Select from a long list of available band math functions such as Vegetation Indexes, or write your own functions.

Import and run externally trained neural network models thanks to our support for the .ONNX file format that can be generated using software like Matlab and Pythorch.

Run your own Python code for data processing steps in combination with the built in functions and methods in the software

Apply advanced image segmentation and object detection using a big selection of different methods that consider both the spectral and spatial information in your images.

Apply methods that use the spectral differences in your data to do image segmentation and detect objects, such as machine learning and chemometrics models as well as band method functions.

Using the spatial information related to the shape of objects, you can apply methods based on deep learning and neural networks. The Breeze software includes the pre-trained FastSAM neural network for shape-based analysis, which can be used directly without any need for additional training. Other models, such as YOLO and Faster R-CNN, must be created