Digital image processing and enhancement techniques have been applied
to airborne gamma ray spectrometry data from Sudbury, Ontario. These r
esults have been correlated and compared with the available geological
maps to evaluate their usefulness for identifying lithological units.
Digital processing allows the correlation of various data sets, and d
ifferent com ns of images can be tested and viewed as a composite imag
e. Composite images with pseudo-colours provide an opportunity to anal
yze and correlate information that is not otherwise apparent in indivi
dual images. Principal component analysis has been applied to the gamm
a ray spectrometry data to evaluate their efficacy and relative inform
ation contents of the measured and computed data. The results of this
study indicate that the combined radioelements image (obtained by comb
ining the radioelement image and the ratio images) is effective for de
fining areas of relative concentration of a specific element in near s
urface materials. Furthermore, the composite radioelements image (prod
uced by combining three separate radioelement images) and composite pr
incipal components image reflect large-scale lithological variations