ScanEx NeRIS is designed for thematic interpretation of spatial data, and first of all of the Earth observation data. The software is mainly implemented on the basis of Kohonen artificial neural networks for ordination, classification and thematic interpretation of the data. It provides interpretation of multi-layer data, including the detection and mapping of geological structures, such as lineaments.
Most algorithms used in the application are based on the properties of Kohonen artificial neural networks. As a result not just a conventional classification of data is carried out, where the monitoring of relative class positions in the feature space is difficult. In addition, the ordination of classes is achieved by mapping them upon a planar grid while preserving topological relations between classes. This method assures reliable thematic interpretation, if the input data are changed. For example, images taken under different illumination conditions or even in different seasons can be used.
ScanEx NeRIS also offers the import of raster layers in PGM/PPM and BMP formats, of scalar grids in the Surfer format, widely used by geologists, and of Arc/Info and ArcView grid formats. This allows to process not just images, but also almost any information presented in the form of a scalar grid (e.g. elevation, geophysical fields, etc.). The application can export the processing results into a vector form and convert them to various GIS packages using commonly used exchange formats such as ESRI Shapefile and MapInfo MIF/MID.
Visualisation of the continuous changes in the geographic and feature space is implemented by means of a special thematic palette creation on the basis of neural-network mapping. The user is provided with powerful tools to build thematic cartographic models in accordance with his/her expert knowledge and ancillary information.
Thematic interpretation of multi-layer data
The following procedures are used to build derived layers for inclusion into neural network processing:
The procedures for contextual post-processing of classification results include:
|ScanEx NeRIS v. 4.0
© 2004, Aertia, S.L.