Digital elevation model of internal wave detection

A grid operator analysis of polarized TOPSAR data has been applied to digital elevation model for the detection of internal waves. The digital elevation model was applied with the Canny algorithm to automatic detection of internal wave on the coastal waters of Kuala Terengganu, Malaysia. The continuous wavelet transform is used to estimate energy and wavelengths within soliton peaks from the detected internal wave. The Doppler radar was used to model the speed of internal wave. The results shows that the wavelengths of internal wave is ranged from 30 m to 400 m that are longer than swell. The time was taken to grow the internal wave ranged between 40 sec to 1.0 minute. This study shows that tidal spectra in South China Sea could generate the internal wave. The statistical analysis shows that polarized L_HH band is more sensitive to detect the internal wave compared to L_VV and C_VV bands. The results obtained from TOPSAR polarized data are similar to ground isothermal profile. It can be concluded that the integration between digital elevation model and Canny algorithm could be used as automatic tools for internal wave detection. The polarized L_HH band is more suitable for internal wave detection compared to C_VV band. The isothermal profile of internal wave suggested that the irregular bottom topography and tidal flow are the main reason for the generation of internal waves in South China Sea