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Proceedings Paper

Compressing terrain datasets using segmentation
Author(s): W. Randolph Franklin; Metin Inanc
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Paper Abstract

We propose a novel compression scheme to achieve lossy compression of elevation datasets. Our scheme does not use predictors in the traditional sense. Our predictors are based on planar dataset segments. We believe that this is a far better way of expressing context in an elevation dataset since it can capture continuities in different geometries and allows us to provide an error bound on the output.

Paper Details

Date Published: 25 August 2006
PDF: 6 pages
Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130H (25 August 2006); doi: 10.1117/12.684398
Show Author Affiliations
W. Randolph Franklin, Rensselaer Polytechnic Institute (United States)
Metin Inanc, Rensselaer Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 6313:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVI
Franklin T. Luk, Editor(s)

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