Abstract
High spatial resolution satellite imagery provides information on landsurface properties and features over a wide range of spatial scales. Depending upon the application, and the spatial resolution of the sensor with respect to the size of landsurface features, we may wish to discard or isolate certain components of spatial variation, corresponding to specific spatial frequency ranges. This is an important step in image simplification, data reduction and feature accentuation. From a theoretical point of view factorial kriging (FK) and Fourier analysis are identical image filtering techniques, however they differ in the method of application. We compared the results provided by applying both to multi-temporal synthetic aperture radar imagery (ERSSAR) and a single channel SPOT-XS image. Choosing which spatial frequencies to suppress is the most important part of filtering. When using the fast Fourier transform (FFT) it was not evident which frequencies to suppress. Factorial kriging uses the variogram model...
Published Version
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