Title :
The remote sensing of topography using polarimetric SAR
Author :
Schuler, D.L. ; Lee, J.S. ; Grandi, G. De
Author_Institution :
Naval Res. Lab., Washington, DC, USA
Abstract :
A processing technique for polarimetric synthetic aperture radar (SAR) data has been developed which produces profiles of terrain slopes and elevations in the azimuthal (or along-track) direction. The technique estimates the average shift in polarimetric orientation of co-pol (or cross-pol) backscatter caused by azimuthal tilts of the scattering plane. Initial tests of this technique have been made for forested areas near Villingen/Schwenningen in Baden-Wurttemburg (Germany). Subsequent tests of the algorithm have been conducted using polarimetric SAR L-band data for a mountainous, non-forested, region in the Mojave Desert (Ft. Irwin, CA). The radar measured slope (and derived elevation) profiles have low rms errors and high correlation values when compared with digital-elevation maps (DEM) for the two areas. The algorithm is capable of adaptively transitioning from forested areas to regions with open-terrain. Complete elevation and slope mapping of the terrain in two dimensions is possible using this technique when azimuthal elevation profiles are produced throughout the range extent of the SAR image
Keywords :
adaptive signal processing; geophysical signal processing; geophysical techniques; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; topography (Earth); Baden Wurttemburg; California; Germany; L-band; Mojave Desert; UHF radar; USA; Villingen Schwenningen; adaptive signal processing; algorithm; azimuthal tilt; elevation; forest; geophysical measurement technique; land surface topography; polarimetric SAR; polarimetric orientation; profile; radar imaging; remote sensing; synthetic aperture radar; terrain mapping; terrain slope; Backscatter; L-band; Polarimetric synthetic aperture radar; Radar measurements; Radar polarimetry; Radar scattering; Remote sensing; Surfaces; Synthetic aperture radar; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.524027