Paper
25 August 2006 Compressing terrain datasets using segmentation
W. Randolph Franklin, Metin Inanc
Author Affiliations +
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
W. Randolph Franklin and Metin Inanc "Compressing terrain datasets using segmentation", Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130H (25 August 2006); https://doi.org/10.1117/12.684398
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Raster graphics

Image compression

Algorithms

Image segmentation

Detection and tracking algorithms

LIDAR

Data acquisition

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