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You can turn any of the panes on or off by right-clicking in the Query Builder, selecting Pane, and then checking/unchecking the pane in the context menu To create a T-SQL statement using the Query Builder: 1 Double-click on the stored procedure in Server Explorer to open it in the Code Editor 2 Right-click in the Code Editor after the AS clause in the stored procedure, and select Insert SQL from the context menu The Query Builder rst displays the Add Table dialog, shown in Figure 813 This dialog allows you to select the database objects to use in your query

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(10,28,0)>'0' (30,10,0)>'0' and (30,32,0)>'0' The dielectric constant of the targets and the scatterers are equal to (3.23 + iO.36). The back-scattering amplitudes for the targets and the particles are calculated based on Mie scattering. The receiver moves from X s = -d/2 to X s = d/2 with an increment of d/100. The horizontal position is Ys = d with d = 1732>'0 and the height is Zs = H = 1000>'0. The received signal is calculated over a frequency band 0.5io to 1.5io with an increment of O.Olio and 100 azimuthal positions with equal space. The simulated data is processed by the methods of field imaging and FACF imaging. The normalized results are shown in Fig. 11.4.5, and 11.4.6. Figure 11.4.5 shows field imaging of C2F(r o) = ICF(roW. The 4 targets are obscured by the background clutter. Figure 11.4.6 shows the results of FACF imaging with the memory effect avoided, which has lower clutter level than that in Fig. 11.4.5. The results of FCF imaging and ACF imaging are also shown in Fig. 11.4.7 and 11.4.8. We see that ACF imaging loses range resolution and FCF does not have good cross-range resolution. Therefore, FACF imaging gives better performance than ACF imaging and FCF imaging for linear SAR. To compare results quantitatively, we define the visibility of targets in clutter as a ratio of target signal and the average signal strength for the entire image covering the region. The visibility is calculated by

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From the formulation and numerical results, we found that correlation imaging gives better results for the detection of targets embedded in clutter than field imaging when the size of random particles is smaller than a wavelength. For the same received signals, the image obtained by correlation imaging has a finer resolution and a larger signal-clutter ratio than that by field imaging. This is because the clutter effect is minimized in correlation imaging by avoiding the memory effect of random scattering. It is shown that the clutter effect can be substantially reduced for both circular and linear configurations. In a similar manner, a 3-D image can be obtained with focusing on different layers. The frequency dependence can be compensated by using a weighting function. The image processing algorithm can be speeded up by using FFT with the far-field approximation for the phase.

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3 Select one or more tables and click Add When you are nished, click Close The Query Builder dialog is displayed (see Figure 812) 4 Select the columns to output from your stored procedure by checking the column names in the Diagram Pane, or by checking the Output checkbox for the column in the Criteria Pane, or by typing the list of column names in the SELECT statement in the SQL Pane 5 De ne the parameters to pass into the stored procedure by entering the parameter names in the Filter for the column in the Criteria Pane, or by typing the parameters in the WHERE clause in the SQL Pane In T-SQL, parameter names are pre xed with the @ character

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