High-definition imaging (HDI) is a model-based approach to SAR image generation derived from modern spectral-estimation (superresolution) techniques. It provides improved resolution and substantial reduction in sidelobes and clutter by exploiting distinguishing characteristcs of target responses, such as waveform and polarization, as well as their spatial separation, as was demonstrated in a paper presented at SPIE last year. This paper presents additional results of the application of HDI to SAR data. It is shown that the improved resolution, clutter, and sidelobe reduction previosly demonstrated with UHF data can also be obtained at Ka-band, even in the presence of foliage. The broadside flash characteristic of ground vehicles is exploited to obtain information about their length and orientation. Finally, polarimetric signatures are exploited to classify the scattering centers on a vehicle.

Date Published: 5 June 1995
PDF: 16 pages
Proc. SPIE 2487, Algorithms for Synthetic Aperture Radar Imagery II, (5 June 1995); doi: 10.1117/12.210836

Published in SPIE Proceedings Vol. 2487:
Algorithms for Synthetic Aperture Radar Imagery II
Dominick A. Giglio, Editor(s)