DocumentCode
2456463
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
Volume
4
fYear
1997
fDate
3-8 Aug 1997
Firstpage
1588
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IGARSS.1997.608963
Filename
608963
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