10.4225/03/5800684f643b2
Pradhan, Biswajeet
Biswajeet
Pradhan
Kumar, Sandeep
Sandeep
Kumar
Mansor, Shattri
Shattri
Mansor
Ramli, Abdul Rahman
Abdul Rahman
Ramli
Sharif, Abdul Rashid B. Mohamed
Abdul Rashid B. Mohamed
Sharif
Spatial data compression and denoising via wavelet transformation
Monash University
2016
monash:89906
1959.1/737006
Delaunay triangulation
Voronoi diagram
Triangulated irregular network (TIN)
Convex hull
Lifting scheme
Second generation wavelet
Image data compression
Multiresolution Analysis
2006
collection(s) Applied GIS
text
journal article
1832-5505
2016-10-14 05:08:29
Journal contribution
https://bridges.monash.edu/articles/journal_contribution/Spatial_data_compression_and_denoising_via_wavelet_transformation/3859929
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.