Intergraph Showcases New Spatial Modeling Technology at Hexagon 2012 - GPS World

Intergraph Showcases New Spatial Modeling Technology at Hexagon 2012

June 8, 2012  - By
Image: GPS World

At this week’s Hexagon 2012, Intergraph announced it is showcasing the exciting capabilities of ERDAS Imagine’s next-generation Spatial Modeler. This revolutionary technology provides a unique environment for the creation of solutions, combining ERDAS Imagine’s processing capabilities with the powerful vector analysis functionality of GeoMedia.

 

According to the announcement, ERDAS Imagine’s existing spatial modeling capabilities enable you to graphically create models of complex raster imagery processing workflows. Those with less domain knowledge can easily execute the models to obtain the same accurate, reliable results as more expert users. By reducing training time and helping automate complicated workflows, the ability to process imagery using automated spatial models has become a quintessential feature for many customers.

Integraph reports that the new spatial modeling framework expands this proven technology by providing full extensibility and true interoperability with other systems, enabling you to construct complete geoprocessing workflows. You can also enhance existing solutions with the spatial modeling technology, allowing you to add new types and operations, providing full extensibility.

“Integrated within a new graphical user interface and extensible through third-party scripting environments such as Python, the next-generation spatial modeling capability will support desktop and on-demand enterprise geoprocessing,” said Mladen Stojic, Vice President – Geospatial, Intergraph. “With this new capability, GIS modeling with vector operators meets image processing with raster operators, all within one graphical environment. This is all based an open and commonly accepted scripting environment, brought to you by a single company.”

The new spatial modeling framework offers the option of creating models graphically using drag-and-drop components or through widely used Python scripting. To learn more, please visit http://www.intergraph.com/geospatial

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