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Figure 7 is the imaging result by using the location inverse solution approach.
To further suppress the ghost image, we introduce the approach of using the location inverse solution.
In this paper, the algorithm using the location inverse solution (LIS) to reduce the ghost images is proposed and simulated.
In this paper, a new algorithm using the location inverse solution based on IPF to reduce the ghost image is introduced.
Figure 11 is the imaging result using the location inverse solution to remove ghost images, while the estimated dielectric constant is larger than the true value, that is,.
Figure 10 is the imaging result using the location inverse solution to remove the ghost images, while the estimated wall dielectric constant is less than the true value, that is,.
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This paper introduces the use of the location inverse solution (LIS) in the traditional BP imaging algorithm to partially reduce the ghost images.
In the paper by Y. Hu et al., the authors propose the use of the the location inverse solution algorithm to reduce the ghost images in comparison with the backward projection algorithm.
After coordinates of the correct location of the top surface, (X1, Z1), were found, inverse ray tracing was used to predict the correct location of the bottom surface using the locations of both top and bottom surface as measured by the OCT.
Figure 8 is the imaging result using location inverse solution to remove ghost images, while the estimated wall thickness is less than the true value, that is,.
So the average monthly TRMM 3B42 data at the grid cells had to be interpolated to the rain gauge locations by using the inverse distance weighting method (IDW), a mostly used rainfall interpolating method developed by National Weather Service (Burrough et al. 1998).
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