Title :
Signal processing method for detection of subsurface objects by ultra-wideband SAR
Author :
Timchenko, Alla I. ; Zurk, Lisa
Author_Institution :
Inst. for Radiophys. & Electron., National Acad. of Sci. of Ukraine, Kharkov, Ukraine
Abstract :
The problem of subsurface target detection has been studied. Modifications of a damped exponential model has been applied for reducing the clutter due to a rough boundary. Utilizing numerical simulations, a sensitivity analysis is performed to investigate the features of detection of low-contrast targets. The dependence of the received signal on the properties of an inhomogeneous medium, rough surface and the locations of the objects has been studied. The calculations have been performed for randomly buried objects. It has been found that it is possible to significantly improve the ratio between the scattered signal from subsurface objects and the scattering from a rough boundary.
Keywords :
buried object detection; geophysical signal processing; geophysical techniques; radar clutter; remote sensing by radar; rough surfaces; sensitivity analysis; synthetic aperture radar; ultra wideband radar; clutter reduction; damped exponential model; inhomogeneous medium; randomly buried objects; rough boundary; rough surface; sensitivity analysis; signal processing; subsurface object detection; subsurface target detection; synthetic aperture radar; target features; ultrawideband SAR; Buried object detection; Computer vision; Numerical simulation; Object detection; Rough surfaces; Scattering; Sensitivity analysis; Signal processing; Surface roughness; Ultra wideband technology;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
Print_ISBN :
0-7803-9050-4
DOI :
10.1109/IGARSS.2005.1526186
