Title :
Synthetic aperture radar image reconstruction algorithms designed for subsurface imaging
Author :
Gough, Peter T. ; Hunt, Bobby R.
Author_Institution :
Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
Abstract :
The standard image reconstruction algorithm for most SAR systems is either the wavenumber algorithm mainly used for exact wide bandwidth imaging or a version of the chirp scaling algorithm if computational efficiency is important. When it is desired to image a subsurface layer, these reconstruction algorithms can be modified to emphasize a subsurface layer at the expense of the surface layer. The key to the modified algorithm is a reduction of the wavelength used in the reconstruction process by a predetermined amount where the amount of the reduction depends on the depth and the dielectric constant of the soil. Some simulated results shows the effectiveness of the modified algorithm
Keywords :
geophysical signal processing; geophysical techniques; image reconstruction; radar imaging; remote sensing by radar; soil; synthetic aperture radar; terrestrial electricity; SAR; buried object detection; chirp scaling algorithm; dielectric constant; geoelectric method; geology; geophysical measurement technique; ground penetrating radar; image reconstruction algorithm; radar imaging; radar remote sensing; soil; subsurface imaging; subsurface layer; synthetic aperture radar; terrestrial electricity; wavenumber algorithm; Algorithm design and analysis; Dielectric constant; Filtering; Image reconstruction; Matched filters; Radar polarimetry; Reconstruction algorithms; Soil; Surface reconstruction; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.608963