  This study conducts a quantitative distinguishability analysis using
quasi-monostatic experimental radar data to find a topographic and
backpropagated tomographic reconstruction for an analogue of asteroid Itokawa
(25143). In particular, we consider a combination of travel-time and wavefield
backpropagation tomography using the time-frequency representation (TFR) and
principal component analysis (PCA) approaches as filtering techniques.
Furthermore, we hypothesise that the travel time of the main peaks in the
signal can be projected as a topographic imaging of the analogue asteroid while
also presenting a tomographic reconstruction based on the main peaks in the
signal. We compare the performance of several different filtering approaches
covering several noise levels and two hypothetical interior structures:
homogeneous and detailed. Our results suggest that wavefield information is
vital for obtaining an appropriate reconstruction quality regardless of the
noise level and that different filters affect the distinguishability under
different assumptions of the noise. The results also suggest that the main
peaks of the measured signal can be used to topographically distinguish the
signatures in the measurements, hence the interior structure of the different
analogue asteroids. Similarly, a tomographic reconstruction with the main peaks
of the measured signal can be used to distinguish the interior structure of the
different analogue asteroids.
