Exploring the application of some common raster scanning paths on lossless compression of elevation images

Scarmana, Gabriel and McDougall, Kevin (2015) Exploring the application of some common raster scanning paths on lossless compression of elevation images. In: IEEE International Geoscience and Remote Sensing Symposium 2015 (IGARSS 2015): Remote Sensing: Understanding the Earth for a Safer World, 26-31 July 2015, Milan, Italy.

Abstract

Raster scanning is a method for producing or recording a
video or a digital image by means of a line-by-line sweep.
The scanning process basically transforms a 2D image representation into a 1D representation. While such process
has been extensively used for data transmission and storage
as well as in most image displaying and capturing devices,
its application to Digital Elevation Models (DEM) research
is infrequent. A DEM is usually a square matrix of elevations (Elevation Image) except that it comprises a
single channel of information (heights) and can be compressed in a lossy or lossless manner by way of current
standard image compression protocols. Compression has the
outcome of reducing memory requirements and speed of
transmission over digital links, while preserving the integrity of data.
In this context, this proof of concept paper investigates
the effects of applying some different scanning paths to 16-
bit elevation images of floating point height values
representing dissimilar terrain characteristics. The intention is to discern whether different 1D representations of a given elevation image can provide a better correlation or similarity among elevation points, thus resulting in improved compression ratios and run decompression times.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2015 IEEE. Permanent restricted access to published version due to publisher copyright policy. Paper soon to be added to the IEEE (Institute of Electrical and Electronics Engineers) Digital Library. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Date Deposited: 20 Nov 2015 04:54
Last Modified: 07 Jul 2016 02:53
Uncontrolled Keywords: image compression, scan patterns, elevation images
Fields of Research : 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040607 Surface Processes
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
09 Engineering > 0909 Geomatic Engineering > 090999 Geomatic Engineering not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
E Expanding Knowledge > 97 Expanding Knowledge > 970104 Expanding Knowledge in the Earth Sciences
URI: http://eprints.usq.edu.au/id/eprint/27594

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