Harris ImageLinks Technology employs a sensor model approach for characterizing and correcting remote sensing image sets. This is in contrast to the polynomial warping technique that is employed in most remote sensing software packages

Polynomial warping attempts to distort or "warp" one image to another through the identification of a number of tie points that are selected in the two images. Typically this process is performed manually as the user identifies common features in the data sets and then attempts to fit the two images together through the application of a series of mathematical polynomials. Polynomial warping does not take into account the error sources or the physics that was involved in the acquisition process.

The Sensor-based modeling approach employed by Harris ImageLinks is based in physics and re-creating the three dimensional environment that was present during the imaging process. System error models, engineering data, and a-priori knowledge about the system is incorporated into sophisticated mathematical sensor models. Potential error sources in the system are identified and characterized. This extra effort provides superior results in removing error and improving the accuracy of the generated data sets.

Intelligent parameter adjustment, statistical error modeling, cross sensor correlation, and advanced feature detection are employed to correctly position and form the end products.

This sophisticated technology results in more accurate products that result in better information for a wide range of end user applications.