ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume II-5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5, 313–319, 2014
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5, 313–319, 2014

  28 May 2014

28 May 2014

Lossless data compression of grid-based digital elevation models: A png image format evaluation

G. Scarmana G. Scarmana
  • University of Southern Queensland, Australia

Keywords: Image processing, DEM compression, Terrain modelling, PNG (Portable Networks Graphics)

Abstract. At present, computers, lasers, radars, planes and satellite technologies make possible very fast and accurate topographic data acquisition for the production of maps. However, the problem of managing and manipulating this data efficiently remains. One particular type of map is the elevation map. When stored on a computer, it is often referred to as a Digital Elevation Model (DEM). A DEM is usually a square matrix of elevations. It is like an image, except that it contains a single channel of information (that is, elevation) and can be compressed in a lossy or lossless manner by way of existing image compression protocols. Compression has the effect of reducing memory requirements and speed of transmission over digital links, while maintaining the integrity of data as required.

In this context, this paper investigates the effects of the PNG (Portable Network Graphics) lossless image compression protocol on floating-point elevation values for 16-bit DEMs of dissimilar terrain characteristics. The PNG is a robust, universally supported, extensible, lossless, general-purpose and patent-free image format. Tests demonstrate that the compression ratios and run decompression times achieved with the PNG lossless compression protocol can be comparable to, or better than, proprietary lossless JPEG variants, other image formats and available lossless compression algorithms.