Title :
False alarm reduction of ground penetrating radar returns through multisensor fusion
Author :
Eracar, Yönet ; DiMarzio, Charles ; Kokar, Mieczyslaw M.
Author_Institution :
Northeastern Univ., Boston, MA, USA
Abstract :
In this work, we present a methodology for fusing high frequency and low frequency radar images. The goal of this system is to find the strong surface clutter which is common to high and low frequency radar images and to subtract (de-fuse) this common component from the low frequency image to extract subsurface information
Keywords :
geophysical signal processing; radar clutter; radar imaging; remote sensing by radar; sensor fusion; synthetic aperture radar; terrestrial electricity; false alarm reduction; ground penetrating radar returns; multisensor fusion; Computer vision; Data mining; Frequency; Ground penetrating radar; Image enhancement; Radar clutter; Radar detection; Radar imaging; Synthetic aperture radar; Wire;
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3700-X
DOI :
10.1109/MFI.1996.568496
