Variograms: practical method to process polarimetric SAR data

Most application of polarimetric SAR imagery require more efficient processing technique which achieves two fundamental goals. The first one is to detect and classify the constituent remotely sensed scenes from pixels to pixels in the imagery. The second one is to reduce the data dimensions without loss of critical information because the fully polarimetric SAR data can be processed just as multi-dimensional images, which could like multi-bands spectrometer images. It is the increased use of spatial data in remotely sensed images that we can get the valuable extraction. But there is composing complexity among the polarimetric imagery texture comparing some hyperspectral images. Some strong backscatters may exist under arid surfaces and contaminate some adjacent pixels. The contamination of imagery decreases the precision of classification. To determine the pixel distance in spatial coordinate is a key to debar some difficulty in front of polarimetric SAR data. The approach to link the nature and cause of spatial variation in image is to use the variograms and subsequent Kringing theory. The data results from the fully polarimetric images prove that the variograms are the tool used to link models of radar backscattering scenes. Some directional variograms aim to indicate the backscattering anisotropy, the height of the sills of the variograms are related to the kinds of the remotely sensed objects and the range of the influence is related to the acting distance on pixels of scenes.