The application of wavelet transform for oceanic feature detection in SAR and optical image
2006
Wavelet transform has been applied for multi resolution analysis of oceanic feature in ERS1/2 SAR and ASTER image
data over the Tsushima Strait. Various wavelet transforms, e.g. Haar, Daubechies, Symlet, Coif, Biorthogonal, and
Meyer wavelet, have been tested comparably with different level of synthesized image on horizontal, diagonal, and
vertical detail, and approximation to study the internal wave characteristic in image. The results show that higher scale
processing of image and higher number of vanishing moments of wavelet function such as Coiflet wavelet, coif5,
Daubechies wavelet, db5, Symlet wavelet, sym8, and Discrete Meyer wavelet, are proposed for smoother wave crest.
The best result of detection is performed by Discrete Meyer wavelet transform, which adapts FIR filter, orthogonal and
biorthogonal basis. Thus, it liable for smoothness of feature, space save coding and avoid dephasing in image.
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