EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, cilt.2011, sa.1, ss.1-2, 2011 (SCI-Expanded)
In this article, a simultaneous buried object detection
and imaging method is proposed for time domain ground penetrating radar (GPR)
data. Fuzzy weighted background removal is applied to the data through a
sliding window and then target energy functions are obtained by means of
convolution summations of consecutive A-scan signals in an appropriate manner. An auxiliary
detection function is proposed as an emphasized detection test statistic and
then an automatic detection warning signal creation method is devised. The
proposed method has been tested over
a set of small-sized surrogate anti-personnel (AP) mines which are not easily
detectable and medium-sized surrogate AP and Anti-tank mines. The results are
promising as nearly full detection performance. Zero false alarm rate is
achieved in this dataset without remarkable corruption in estimated target GPR
images. Moreover, it is observed that the noise immunity
of the proposed method is highly satisfactory in terms of detection probability.