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An adaptive slant correction algorithm that is able to correct the different slant angles of the different components of a text line is presented.
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The processing methodology involves an azimuthal Fast Fourier Transform FFTT) for the burst echo data followed by beam formation directed towards equi-angular ground points, stacking, slant range correction, multi-looking and finally retracking.
Without this correction, the slanted orientation of the cross sections would introduce a parallax, i.e., a confounding between transverse and longitudinal dimensions.
Furthermore, the algorithm incorporates a correction for slant-based sectional length measurements using the Pythagorean theorem and eliminates the need to predict heights for a given age by the use of a linear interpolation procedure.
Finally, the simulation results at apogee and perigee prove the correction of the slant range model and imaging algorithm.
The vertical TEC values were obtained by applying a geometrical correction on the slant TEC and assuming an ionospheric shell at 400 km.
Nowack (2009) has used many local slant stacks and quadratic phase corrections for every beam in the dynamically focused beam migration, which is time-consuming and complex in designing the implementation algorithm.
Because this method is achieved using a unified beam width for all the subsurface imaging points and performing many local slant stacks and quadratic phase corrections for each beam, it does not consider the effects of velocity variation on the beam width and is very time-consuming.
Data were radiometrically corrected to remove variable acquisition gains, power levels, insonification area and grazing angles, whereas geometric corrections were applied to compensate for the slant range.
The topographic correction involves the normalization of brightness or surface reflectance values from the slanted to the horizontal plane.
Found slant.
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