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Target Detection by Fuzzy Gustafson-Kessel Algorithm
Mousumi Gupta
Pages - 203 - 208 | Revised - 05-04-2013 | Published - 30-04-2013
Published in International Journal of Image Processing (IJIP)
MORE INFORMATION
KEYWORDS
Target Detection, Clutter Rejection, Data Normalization, Fuzzy Clustering, Fuzzy Gustafson-Kessel (FGK).
ABSTRACT
Many commercially available radar systems offer a range of filter options but the problem of
clutter rejection for target detection is still present in a number of situations. Rejection of clutter
and detection of targets from radar captured data is a challenging task. Raw data captured by
radar are not always scaled. A normalization technique has been proposed which transforms the
radar captured data into 8 bit. As 8 bit data is easy to analyze and visualize. A modification on
Fuzzy c-means has been done by developing Fuzzy Gustafson–Kessel (FGK) algorithm and the
result shows robustness of this proposed method.
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Mr. Mousumi Gupta
Siikim Manipal Inst of Tech - India
mousmi_gt@yahoo.co.in
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