Wavelets and neural nets for stratigraphic analysis

Author

Rehmeyer, Daran L. ; Aravena, Jorge L.

Author_Institution

Quaternary Resource Investigations Inc., Baton Rouge, LA, USA

Volume

4

fYear

1994

fDate

8-12 Aug 1994

Firstpage

2117

Abstract

The paper describes a hybrid ground penetrating radar (GPR) system developed by Quaternary Resource Investigations, Inc., of Baton Rouge, La. The system is designed to tradeoff on the vertical resolution of standard GPR while improving the depth of penetration. It is designed primarily for stratigraphical analysis which does not, typically, require the finer vertical resolution that standard GPR provides. The problem motivating the design of this equipment is the non-invasive identification of geologic contaminant traps and migration paths

Keywords

feedforward neural nets; geophysical signal processing; geophysical techniques; pollution measurement; radar applications; radar detection; radar imaging; remote sensing; soil; terrestrial electricity; wavelet transforms; GPR; Quaternary Resource Investigations; geoelectric terrestrial electricity; geologic contaminant trap; geology; geophysical measurement technique; ground penetrating radar; migration path; neural net; penetration depth; sedimentary rock; soil pollution; stratigraphic analysis; stratigraphy; vertical resolution; Conductivity; Data acquisition; Geology; Ground penetrating radar; Neural networks; Signal processing; Signal resolution; Soil; Standards development; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Conference_Location

Pasadena, CA

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399668

Filename

399668