Built on the principle of stereovision, Vricon’s processing method can utilize any and all available imagery from satellites and airborne sensors. Because the imagery does not need to be captured as traditional stereo pairs, image selection is very easy. The 3D build process is automatic and highly efficient, and thousands of square kilometers of high-precision data can be updated in hours. The photorealistic textures come from the same images used for creating the 3D geometry, which assures top quality.
The Vricon build process is developed from decades of highly advanced optroelectronics and navigation processing, and produces data of very high spatial accuracy. Techniques have been developed that eliminate the need for GCPs and/or DEMs in the build process. For a Vricon 3D dataset based on commercial satellite imagery, the absolute accuracy is 3 meters SE90, and its relative accuracy is much higher. The accuracy achieved based on other types of imagery is higher, typically 0.3 meters for UAV sensors.
A unique feature of Vricon is the ability to use any combination of imagery from all types of sensors in the same 3D processing step. This feature makes it possible to harvest archive imagery in completely new ways, making archived imagery a highly valuable asset.
Vricon builds the globe in 3D. Rapid access to DigitalGlobe’s huge archive of high-resolution satellite imagery is one of Vricon’s enabling image sources. As new imagery is added continuously to the ever growing archive, up-to-date Vricon 3D data is ensured, on a global scale.
Input images’ resolution is not affected during the Vricon build process, meaning that the delivered 3D data possess the images’ native resolution. Typical resolution on satellite based 3D data is 0.5 meters in all dimensions; imagery with a higher resolution results in a higher 3D resolution as well.