Noise reduction of subsurface radar images using a 2-D parabolic wavelet transform

Author

Sat, Toru ; Fuse, Eiji

Author_Institution

Dept. of Electron. & Commun., Kyoto Univ., Japan

Volume

4

fYear

1998

fDate

6-10 Jul 1998

Firstpage

1760

Abstract

A two-dimensional parabolic wavelet transform was developed in order to concentrate the energy associated with hyperbolic traces typical to subsurface radar images. Since it does not satisfy the orthogonal transform condition, the inverse transform was designed using the Wiener filter. Nonlinear filtering schemes are then applied to the obtained wavelet coefficients in order to reduce the effect of noise and clutter. Its performance was examined with numerical simulations, and compared with general noise reduction methods

Keywords

Wiener filters; geophysical signal processing; geophysical techniques; radar clutter; radar imaging; remote sensing by radar; terrestrial electricity; wavelet transforms; Wiener filter; clutter; denoising scheme; geoelectric method; geophysical measurement technique; ground penetrating radar; hyperbolic trace; inverse transform; land surface; noise reduction; numerical simulation; orthogonal transform condition; parabolic wavelet transform; radar imaging; radar remote sensing; subsurface radar image; terrain mapping; terrestrial electricity; two dimensional transform; wavelet coefficients; Background noise; Clutter; Ground penetrating radar; Image analysis; Noise reduction; Shape; Signal processing; Wavelet analysis; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.703643

Filename

703643