Internal Wave Detection in SAR Image

ABATRACT Bragg scattering process in sea surface represent the meso-scale feature of sea processes in SAR image. SAR image data is used to for large scales area of monitoring on near real time data. In this research, wavelet analysis is applied to monitor internal wave in ERS-2 SAR image. Wavelet transform of SAR image can be used as feature detection and image enhancement. Furthermore, wavelet analysis use of local analysis to analyze a shorter region in image in time and scale data, allow precise information than time and frequency region analysis such as Fourier analysis. Internal wave in ERS-2 SAR image were observed around Lombok Strait during 1996-2001 by using 2D Symlet analysis. Symlet wavelet allows the symmetric extension of data at the image boundaries, prevents discontinuities by a periodic wrapping of data in fast algorithm and space-saving code. The detection result is compared with Radon Transform, which shown that wavelet analysis has advantage in spatial analysis which is make easier in detection. Lombok Strait is chosen as study area because this strait is a major passage of the flow from Pacific Ocean to Indonesian seas (ARLINDO) and passage of Indian Ocean Kelvin wave to Makassar Strait.