TY - JOUR
T1 - Ocean remotely sensed image analysis using two-dimensional continuous wavelet transforms
AU - Wu, Li Chung
AU - Chuang, Laurence Zsu Hsin
AU - Doong, Dong Jiing
AU - Kao, Chia Chuen
N1 - Funding Information:
This work was supported by the National Science Council (NSC98-2218-E-006-236 and NSC 98-2221-E-006-251) and the Water Resources Agency in Taiwan. The source for the satellite image dataset is the Global Land Cover Facility. The authors thank these agencies. In addition, the authors are grateful to the referees for helpful comments and suggestions.
PY - 2011/12
Y1 - 2011/12
N2 - Ocean remote sensing is a useful way to obtain ocean wave information. Due to possible inhomogeneities from remotely sensed images, the current work proposes issues concerning ocean wave image analysis using the two-dimensional continuous wavelet transforms (2-D CWTs) to calculate local wave image spectra from inhomogeneous images. To optimize the algorithm of the 2-D CWT for wave image analysis, this work explores ideal parameter values for the wavelet function. The current study also analyses the limits of spatial image resolution and wave image size. After implementing the 2-D CWT on satellite and X-band radar images, this study presents local image spectra and ocean wave information from all the ocean images. These local image spectra reveal the phenomenon of wave refraction and wave nonlinearity nearshore. Compared to real wave spectra, the wavelet spectra present accurate results to describe local wave features in the spatial frequency domain.
AB - Ocean remote sensing is a useful way to obtain ocean wave information. Due to possible inhomogeneities from remotely sensed images, the current work proposes issues concerning ocean wave image analysis using the two-dimensional continuous wavelet transforms (2-D CWTs) to calculate local wave image spectra from inhomogeneous images. To optimize the algorithm of the 2-D CWT for wave image analysis, this work explores ideal parameter values for the wavelet function. The current study also analyses the limits of spatial image resolution and wave image size. After implementing the 2-D CWT on satellite and X-band radar images, this study presents local image spectra and ocean wave information from all the ocean images. These local image spectra reveal the phenomenon of wave refraction and wave nonlinearity nearshore. Compared to real wave spectra, the wavelet spectra present accurate results to describe local wave features in the spatial frequency domain.
UR - https://www.scopus.com/pages/publications/82055162708
UR - https://www.scopus.com/pages/publications/82055162708#tab=citedBy
U2 - 10.1080/01431161.2010.534511
DO - 10.1080/01431161.2010.534511
M3 - Article
AN - SCOPUS:82055162708
SN - 0143-1161
VL - 32
SP - 8779
EP - 8798
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
IS - 23
ER -