Singular spectrum analysis and envelope detection: methods of enhancing the utility of ground-penetrating radar data
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Standard
Singular spectrum analysis and envelope detection: methods of enhancing the utility of ground-penetrating radar data. / Moore, J; Grinsted, Aslak.
I: Journal of Glaciology, Bind 52, Nr. 176, 2006, s. 159-163.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Singular spectrum analysis and envelope detection: methods of enhancing the utility of ground-penetrating radar data
AU - Moore, J
AU - Grinsted, Aslak
N1 - Paper id:: 10.3189/172756506781828863
PY - 2006
Y1 - 2006
N2 - We present a novel method of improving signal-to-noise ratio in radargrams. The method uses singular spectrum analysis (SSA) to separate each individual radar trace into orthogonal components. The components that explain most of the original trace variance contain mainly physically meaningful signal, while the components with little variance tend to be noise. Adding the largest-magnitude components together until the sum of components accounts for the variance above the noise level (typically 60-80% %) of the original trace variance results in a much cleaner radargram with more easily seen internal features than in traditionally filtered data. The radargrams can be further enhanced by envelope-detecting the SSA-filtered data, as this measure of instantaneous energy minimizes the deleterious effects of innumerable phase changes at dielectric boundaries. Subsequent incoherent stacking results in far more structured radargrams than are achieved with traditionally processed radar data and amplitude stacking.
AB - We present a novel method of improving signal-to-noise ratio in radargrams. The method uses singular spectrum analysis (SSA) to separate each individual radar trace into orthogonal components. The components that explain most of the original trace variance contain mainly physically meaningful signal, while the components with little variance tend to be noise. Adding the largest-magnitude components together until the sum of components accounts for the variance above the noise level (typically 60-80% %) of the original trace variance results in a much cleaner radargram with more easily seen internal features than in traditionally filtered data. The radargrams can be further enhanced by envelope-detecting the SSA-filtered data, as this measure of instantaneous energy minimizes the deleterious effects of innumerable phase changes at dielectric boundaries. Subsequent incoherent stacking results in far more structured radargrams than are achieved with traditionally processed radar data and amplitude stacking.
M3 - Journal article
VL - 52
SP - 159
EP - 163
JO - Journal of Glaciology
JF - Journal of Glaciology
SN - 0022-1430
IS - 176
ER -
ID: 9832324