Conclusions

On the way from the AMO theory to practice, we have solved two important problems, crucial for the successful implementation of the method.

1.

We have shown that a convenient parameterization of the AMO operator enables fast and accurate computation of the operator components, including the spatial aperture.

2.

We have introduced a new method of antialising integral operators, modified from Hale's approach to antialised DMO. The method compares favorably with the triangle filtering technique. Its main advantage is in preserving the high-frequency part of the data spectrum, which leads to a better resolution. It also allows for an easy control of the amplitudes and possesses a sufficient numerical efficiency.

The parameterization and antialising have been applied to enhance the AMO operator with respect to both accuracy and computational efficiency. Currently we are in a process of testing the integral antialised AMO on synthetics and wait for real data tests to arrive.