Polarization tomography is a valuable method for investigating the structure of magnetic fields in the interstellar medium. Starlight becomes linearly polarized as it passes through elongated dust grains aligned by interstellar magnetic fields. By combining polarization measurements with stellar distances, we can disentangle contributions from multiple intervening structures and reconstruct the plane-of-sky magnetic field at different depths along the line of sight. In this work, statistical decomposition techniques are applied to multi-band polarization data to identify distinct polarizing components associated with separate dust layers. The results demonstrate that polarization tomography can successfully isolate nearby and distant magnetic field contributions and reveal variations in field properties across large-scale structures.