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Proceedings Paper

The application of wavelet transform for oceanic feature detection in SAR and optical image
Author(s): Yessy Arvelyna; Masaki Oshima; Tetsuhiro Sumimoto
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Paper Abstract

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.

Paper Details

Date Published: 24 October 2006
PDF: 4 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63571P (24 October 2006); doi: 10.1117/12.716993
Show Author Affiliations
Yessy Arvelyna, Tokyo Univ. of Marine Science and Technology (Japan)
Masaki Oshima, Tokyo Univ. of Marine Science and Technology (Japan)
Tetsuhiro Sumimoto, Okayama Univ. (Japan)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence

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