Surface simplification is an important application in geographic information systems. The goal is to obtain a new surface that is combinatorial as simple as possible, while maintaining a prescribed degree of similarity with the original input surface. We investigate a new terrain simplification algorithm which is based on known Digital Image Processing compression methods (e.g. DCT, wavelets compression) that was specially adjusted to fit Digital Elevation Models.

DEM-images are terrains or elevation maps represented as gray scale images. We investigate the special nature of such terrain-images and design a unique pre-compression process which defines the parameters to guide the image compression.
- Patent pending IL182367.



Image Compression Terrain Simplification

