| Summary: | 碩士 === 國立海洋大學 === 航運技術研究所 === 84 === Sea clutter severely interferes with the observation of marine
radar or coast-based radar.Subsequently,it will affect the
safety of ships in navigation and the vessel traffic
surveillance.The detection of small target in the sea clutter is
a problem to beresolved.Sea clutter has been considered as a
kind of stochasticprocesses for several decades.Recently,in the
light of chaoticdynamic systems and Fractional Brownian Motion
(FBM),sea clutter is treated as a deterministic system with
chaotic properties ora FBM model with fractal characteristics.In
this thesis,we analyze the acquired radar images and proposean
algorithm for target detection in the sea clutter
environmentwith short data length.The proposed system consists
of two stages.In the first stage,a target detector with low
probability of missis designed while high probability of false
alarm is suffered.Utilizing the characteristics of FBM and
wavelet transform,the detection performance can be improved the
significantly in thesecond stage.
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