Visualization of earth deformation in 2D

Abstract

The rapidly growing field of remote sensing is beginning to supply massive quantities of high-resolution imagery of the Earth and other planets. In the earth sciences, parallel supercomputers have always played a prominent role in the visualization of this imagery, and in other image processing applications designed to enhance and display the obtained information. Imageodesy is a technique for detection and measurement of feature shifts between two images based on local feature fitting algorithms such as Normalize Cross-Correlation (Crippen, 1992) and phase correlation. This technique allows the vast archives of optical imagery, collected by satellite systems such as SPOT and Landsat, to be used not only to detect but also to measure the subtle terrain displacements associated with earthquakes, glacial motion and volcanic processes, all to within sub-resolution accuracy and precision is also a major factor.