Spatial data compression and denoising via wavelet transformation

Citation

Pradhan, Biswajeet and Kumar, Sandeep and Mansor, Shattri and Ramli, Abdul Rahman and Mohamed Sharif, Abdul Rashid (2006) Spatial data compression and denoising via wavelet transformation. Applied GIS, 2 (1). 6.1-6.16. ISSN 1832-5505

Abstract / Synopsis

A new interpolation wavelet filter for TIN data compression has been applied in two steps, namely splitting and lifting. In the splitting step, a triangle has been divided into several sub-triangles and the elevation step has been used to 'modify' the point values (point coordinates for geometry) after the splitting. This data set is then compressed at the desired locations by using second-generation wavelets: scalar wavelets constructed by using a lifting scheme. Application of the compressed data compares favourably with results derived using the original (and much larger) TIN data set.

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Additional Metadata

Item Type:	Article
Divisions:	Institute of Advanced Technology Faculty of Engineering
DOI Number:	10.2104/ag060006
Publisher:	Monash University E-Press
Keywords:	Compression; Data set; Elevation; Interpolation; Spatial data; Triangulation; Wavelet
Depositing User:	Azwana Abdul Rahman
Date Deposited:	24 Oct 2011 22:34
Last Modified:	26 Oct 2017 17:52
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.2104/ag060006
URI:	http://psasir.upm.edu.my/id/eprint/18297
Statistic Details:	View Download Statistic

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