Lossless data compression of grid-based digital elevation models: a PNG image format evaluation

Scarmana, G. (2014) Lossless data compression of grid-based digital elevation models: a PNG image format evaluation. In: ISPRS Technical Commission V Symposium. Close-range imaging, ranging and applications , 23-25 Jun 2014, Riva del Garda, Italy.

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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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Date Deposited: 05 Oct 2014 02:30
Last Modified: 24 Jul 2017 04:51
Uncontrolled Keywords: image processing; DEM compression; terrain modelling; PNG (Portable Networks Graphics).
Fields of Research : 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040607 Surface Processes
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040699 Physical Geography and Environmental Geoscience not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970104 Expanding Knowledge in the Earth Sciences
Identification Number or DOI: 10.5194/isprsannals-II-5-313-2014
URI: http://eprints.usq.edu.au/id/eprint/25601

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