Pioneered a decade ago for satellite remote sensing, eCognition enables geospatial data such as images, point clouds and Geographic Information System (GIS) vectors to be integrated and analyzed to quantify features or detect changes over time.
eCognition 9 simplifies and reduces the time taken to classify objects in imagery data sets using the new template matching function. Object templates can now be quickly and easily defined, providing the software with an object library that is used to automatically identify corresponding objects in new imagery data sets.
The new release introduces Native Vector Handling for more efficient GIS data management inside eCognition. This includes common GIS functions to visualize, inspect, create, manipulate, update and export vector data. Furthermore, GIS layers and image objects can be synchronized dynamically. The new spatial and contextual GIS data modeling capabilities can be performed inside eCognition, without the requirement for a link or bridge to GIS. This improved integration of GIS techniques into remote sensing workflows is further bridging the gap between the two domains.
eCognition version 9 extends the existing knowledge-based and supervised classification methods with computer vision based object detection. The new Template Editor Window allows users to easily collect samples to define the search template that is applied over the imagery data. Additionally, a template matching algorithm is available to create a correlation coefficient layer used to detect objects.
With the introduction of multi-core processing in eCognition, customers have been enabled to complete projects faster than before. Further enhancements in the current eCognition version now allow users to utilize up to 8 cores with selected algorithms that typically require longer processing times (multiresolution segmentation, template matching, and layer arithmetics). Additionally, the calculation of feature values on-the-fly in the feature view window is also multi-core enabled now. The new multi-core capabilities maximizes the power of computing hardware, reduces processing bottlenecks and allows users to complete projects in up to a third of the time taken with prior versions.
The license handling based on license files is replaced in eCognition 9 with Trusted Storage. This provides a secure environment for online license management. Users can easily activate and re-host eCognition licenses online which reduces bottlenecks due to necessary communication loops with the license vendor.