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Proceedings Paper

Super-resolution terrain map enhancement for navigation based on satellite imagery
Author(s): Jeremy Straub
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Paper Abstract

Super resolution techniques are commonly used to enhance images and video. The techniques have previously been applied to the enhancement of map data via enhancing aerial imagery. This paper proposes the use of super resolution techniques for enhancing topographic data directly. Specifically, a database-driven super resolution algorithm that is trained with domain-specific patterns is used to enhance topographic digital elevation model (DEM) data from NASA/NGIA SRTM. This enhancement process is evaluated using a elevation-difference evaluation technique where downscaled and enhanced DEM data is compared to the origional higher-resolution data. It is also evaluated with a threshold-based elevation difference metric and visually. The benefits that it might have for flight path planning for a UAV application are discussed. The challenges of using super resolution style techniques on non-visual data are also reviewed.

Paper Details

Date Published: 23 January 2012
PDF: 5 pages
Proc. SPIE 8301, Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, 83010J (23 January 2012); doi: 10.1117/12.911942
Show Author Affiliations
Jeremy Straub, The Univ. of North Dakota (United States)


Published in SPIE Proceedings Vol. 8301:
Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques
Juha Röning; David P. Casasent, Editor(s)

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