Filtering of digital terrain models by 2D Singular Spectrum Analysis
Golyandina, Nina, Florinsky, Igor and Usevich, Konstantin (2007) Filtering of digital terrain models by 2D Singular Spectrum Analysis. International Journal of Ecology & Development, 8, (F07), 81-94.
- Draft Version
Singular Spectrum Analysis (SSA) has been approved as a model-free technique to analyse time series. SSA can solve different problems such as decomposition into a sum of trend, periodicities, and noise, smoothing, and others. In this paper, we validate abilities of 2D-SSA (the extension of SSA to analyse two-dimensional scalar fields) to treat digital terrain models (DTMs). The study is exemplified by a 30-arc-second digital elevation model of a part of South America derived from GTOPO30. Results demonstrate that 2D-SSA is an efficient method to denoise and generalise DTMs. It can be also used to decompose a topographic surface into components of continental, regional, and local scales.
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||15 Nov 2011 22:11|
|Last Modified:||02 Mar 2012 12:42|
|Contributors:||Golyandina, Nina (Author)
Florinsky, Igor (Author)
Usevich, Konstantin (Author)
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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