DocumentCode
315068
Title
Derivative seismic processing method for GPR data
Author
Haizhong, Yu ; Xiaojian, Ying
Author_Institution
Shenzhen Dasheng Adv. Sci. & Tech. Eng. Co. Ltd., China
Volume
1
fYear
1997
fDate
3-8 Aug 1997
Firstpage
145
Abstract
Ground-penetrating radar (GPR) is a newly developed geophysics method. It belongs to one of the electromagnetic methods. In a broad sense, it is also a remote sensing technique, but the processing method for GPR data is quite different with the one for remote sensing data. The processing method is the key to develop the technique, so it is an urgent task to develop GPR processing methods at the current time. Based on the close similarity between ground-penetrating radar and the reflection seismic method, this paper presents the derivative seismic processing methods for GPR data, including the CMP processing method, two dimensional filtering, migration and simulation techniques. The principle and an algorithm are given. The derivative seismic processing methods are shown to be very effective for GPR data. GPR is a very convenient, rapid, precise way to get underground information
Keywords
geophysical signal processing; geophysical techniques; radar applications; radar imaging; radar signal processing; remote sensing by radar; terrestrial electricity; CMP; GPR; buried object detection; common midpoint method; derivative seismic processing method; electromagnetic method; geoelectric method; geology; geophysical measurement technique; ground penetrating radar; migration; radar remote sensing; signal processing method; subsurface structure; terrain mapping; terrestrial electricity; two dimensional filtering; Application software; Concrete; Filtering; Geophysics; Ground penetrating radar; Hardware; Kinematics; Low pass filters; Reflection; Remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN
0-7803-3836-7
Type
conf
DOI
10.1109/IGARSS.1997.615823
Filename
615823
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