Spatial data compression and denoising via wavelet transformation

Biswajeet Pradhan; Sandeep Kumar; Shattri Mansor; Abdul Rahman Ramli; Abdul Rashid B. Mohamed Sharif

doi:10.2104/ag060006

Spatial data compression and denoising via wavelet transformation

Biswajeet Pradhan, Sandeep Kumar, Shattri Mansor, Abdul Rahman Ramli, Abdul Rashid B. Mohamed Sharif

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	6.1-6.16
Journal	Applied GIS
Volume	2
Issue number	1
DOIs	https://doi.org/10.2104/ag060006
State	Published - Jul 2006
Externally published	Yes

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AU - Ramli, Abdul Rahman

AU - Mohamed Sharif, Abdul Rashid B.

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Spatial data compression and denoising via wavelet transformation

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