Extraction and refinement of landuse/landcover information from satellite digital data using fast Fourier transformation in spatial frequency domain

Applicability of fast Fourier transformation (FFT), which deals with a co-o rdinate space known as spatial frequency domain, has an advantage in the pr ocess of feature extraction for different landuse/landcover classes over th e single supervised classification. The study deals with the extraction of low frequency component from the power or amplitude spectrum by applying in verse Fourier transform to convert back into spatial domain in the form of image. The derived Fourier transformed and filtered image is partially devo id of radiometric error which generally prevails in the remotely sensed dat a due to the atmospheric effect, This can be further minimized, whereby enh ancing the texture of the image, The classified map extracted from the FFT image provides a better estimation off the landcover classes than the super vised classification alone. This method has applicability for mapping of na tural resources and monitoring them.