Statistics – Applications
Scientific paper
Nov 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001spie.4491..120t&link_type=abstract
Proc. SPIE Vol. 4491, p. 120-130, Subsurface and Surface Sensing Technologies and Applications III, Cam Nguyen; Ed.
Statistics
Applications
Scientific paper
A family of spectral estimation techniques, termed the PDFT algorithm, is applied to subsurface imaging. We compare various schemes to suppress the surface reflection in subsurface detection. For each scheme we investigate methods of incorporating information about the target and the background medium. The PDFT algorithm is used to extrapolate the target spectrum and provide sufficient resolution to identify buried objects. From experimental data we illustrate the performance of the PDFT algorithm as a superresolution imaging method, and assess its usefulness for subsurface imaging applications.
Fiddy Michael A.
Testorf Markus E.
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