Geophysical Survey Systems Inc. D50300800 Manuale Utente
Quick Start Guide
UtilityScan DF
Copyright © 2012 Geophysical Survey Systems, Inc.
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Appendix E: Glossary of Terms
Dielectric: A value assigned to materials and is used to calculate the velocity of RADAR in that material. RADAR will
travel at different speeds depending upon the material and/or soil condition. RADAR travels fastest in air (dielectric = 1)
and slowest in water (dielectric = 81). Everything else falls somewhere in between. It is important to know the dielectric
value of a material so that the depth of a target can be calculated. Since determining dielectric is a best guess estimate, the
depth of a target will never be an exact measurement. As a safety feature, you will always give about a 1 foot (or about
1/3 meter) margin of error when estimating the depth of a target.
travel at different speeds depending upon the material and/or soil condition. RADAR travels fastest in air (dielectric = 1)
and slowest in water (dielectric = 81). Everything else falls somewhere in between. It is important to know the dielectric
value of a material so that the depth of a target can be calculated. Since determining dielectric is a best guess estimate, the
depth of a target will never be an exact measurement. As a safety feature, you will always give about a 1 foot (or about
1/3 meter) margin of error when estimating the depth of a target.
Filter: A process to remove unwanted noise in the data so that targets can be seen more clearly. Filtering is a trial and
error process, therefore trial runs are necessary using different filtering values to determine the best configuration for a
job site. There are two types of filtering:
error process, therefore trial runs are necessary using different filtering values to determine the best configuration for a
job site. There are two types of filtering:
Background Removal: This filter will remove unwanted noise that looks like horizontal banding across your data.
Using this process, this will remove data that is consistent throughout your data.
Using this process, this will remove data that is consistent throughout your data.
No Background Removal
Background Removal