Automatic detection of internal wave using particle swarm optimization algorithm

Abstract

The work demonstrated a new approach for internal wave automatic detection during 2004 tsunami. In this regard, optimization algorithm of Particle Swarm is used with 2-D wavelet transform of ASAR satellite data. It indicates the regulated radar backscatter ranged between -4 to -24 dB. The lowest normalized radar cross section of -28dB is described the low window quarter shelter alongside the Andaman and Nicobar Islands. Nevertheless, the maximum backscatter of -4 dB is pronounced the prevalence of whirlpool in the east of the Andaman Sea. The whirlpool has a radius of 1.9 km which is estimated using optimization algorithm of Particle Swarm. This whirlpool is located above of water depth gradient of 1000 m. In conclusion, the Particle Swarm Optimization has routinely realize internal wave which generated by the 2004 tsunami.