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(a) Flowchart of the synthetic test.
We demonstrate the applicability of the method proposed using a synthetic test case.
Synthetic test of detection performance of local similarity, template matching, and STA/LTA as a function of the median signal-to-noise ratio (SNR) of the array.
The proposed approach is first applied to a synthetic test case of seawater intrusion (SWI) in a coastal aquifer.
We first introduce Tóthian basins of a 2D cross section and a 3D domain as synthetic test cases.
The SAIL and PROSPECT radiative transfer models were used here to simulate the training and the synthetic test datasets.
Additionally performance of MLPNN and RBFNN were tested by adding random noise to the same synthetic test data.
First, the speckle noise with variances of 1, 0.6, 0.8 and 0.2 respectively was added to the synthetic test image.
For this purpose, a synthetic test problem, which is a small but highly nonlinear reservoir model under two-phase flow, is utilized.
Previous studies that jointly estimate spatially distributed recharge and hydraulic parameters are limited to synthetic test cases and/or do not evaluate the effect of non-uniqueness.
It is shown that for this synthetic test case, the proposed approach decreases the number of required numerical simulations by an order of magnitude.
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