We use time-frequency (t-f) analysis techniques to examine the echo returns present in synthetic aperture radar (SAR) images of land-mine fields. A flying platform illuminates a mine field containing various types of mines and "confusers," with an ultra-wideband radar. A number of familiar time-frequency distributions are used to inspect the various possible mine locations above and below the ground surface. The 2-dimensional plots generated by these distributions offer a larger variety of features and clues that facilitate the discrimination of each mine type from the others and from possible "confusers." Conclusions emerge that confirm that the pseudo-Wigner–Ville and the Choi–Williams distributions provide the best discrimination results, as was pointed out in earlier work. Larger mines such as the ones denoted here as "type 1" are the easiest to discriminate. Comparison of mines to clutter objects ("confusers") shows that such objects are clearly distinguishable from all the present metal mines.