  Holographic imaging is a technique that uses microwave energy to create a
three-dimensional image of an object or scene. This technology has potential
applications in land mine detection, as the long-wavelength microwave energy
can penetrate the ground and create an image of hidden objects without the need
for direct physical contact. However, the inversion algorithms commonly used to
digitally reconstruct 3D images from holographic images, such as Convolution,
Angular Spectrum, and Fresnel, are known to have limitations and can introduce
errors in the reconstructed image. Despite these challenges, the use of
holographic radar at around 2 GHz in combination with holographic imaging
techniques for land mine detection allows to recover size and shape of buried
objects. In this paper, we estimate the reconstruction error for the
convolution algorithm based on hologram imaging simulation and assess these
errors recommending an increase in the scanner area, considering the
limitations that the system has and the expected error reduction.
