Next: Normalizing vs scaling of
Up: Kirchhoff imaging and irregular
Previous: Row scaling: model normalization
Recall that each column of corresponds to an impulse response.
We therefore apply column scaling to imaging operators implemented as
push operators. The system we solve is then
| |
(51) |
where the sum of the elements of each column are on the diagonal of .
In equation equ-dat the imaging operator is applied after the data
have been normalized by and, consequently, we will refer
to this normalization as data normalization. Again we notice that
has the inverse units of making the output
image unit-less.
Similarly to the imaging fold defined earlier, is
normalization by the coverage of the modeling operator (where ). We will refer to this coverage as
the modeling fold.
Next: Normalizing vs scaling of
Up: Kirchhoff imaging and irregular
Previous: Row scaling: model normalization
Stanford Exploration Project
7/5/1998