Thematic processing of multi-layer data on the basis of neural-network ordination in ScanEx NeRIS software includes the following:

• Building a layered multi-dimensional field of characteristics
• Creation and training of the neural network
• Calibration of the neural network
• Classification for a chosen part of the image
• Implementation of contextual post-processing for generalisation of classification results
• Building thematic objects
• Vectorisation of the created object map and conversion to a standard GIS format.

The following procedures are used to build derived layers for inclusion into neural network processing:

• Rasterisation of vector thematic maps
• Calculation of principal components for a set of scalar layers
• Application of convolution filters to scalar layers
• Filtering of the scalar layers on the basis of wavelet decomposition
• Calculation of derived texture layers on the basis of GLCM (grey level co-occurrence matrix).

The procedures for contextual post-processing of classification results include:

• Creation of objects with the use of Random Markov Fields
• Classification of vector objects
• Post-processing of classification results with the use of a local window
• Generalisation of the created thematic objects.

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