Pradhan, Biswajeet and Kumar, Naresh 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
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Official URL: http://dx.doi.org/10.2104/ag060006
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.
|Keyword:||Compression; Data set; Elevation; Interpolation; Spatial data; Triangulation; Wavelet|
|Subject:||Data compression (Computer science)|
|Faculty or Institute:||Institute of Advanced Technology|
|Deposited By:||Azwana Abdul Rahman|
|Deposited On:||24 Oct 2011 14:34|
|Last Modified:||24 Oct 2011 14:34|
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