Modelling of parallel 2D projection in fiber optical tomography in limited-angle conditions
The paper discusses tomography reconstruction of distributed physical fields by means of distributed fiber optical measuring systems (FOMN) for incomplete (limited-angle) parallel schemes of measuring lines (ML) stacking. The approach is presented, allowing to use Radial Basis Function Neural Network (RBFNN) for preprocessing of projection data for the purpose of further application to them of methods of approximating for the nonregular schemes of stacking of ML of more simple form.
Keywords: distributed fibre-optic measuring system, schemes of scanning, parallel beam tomography, radial basis function neural network (RBFNN).
