Ocean Internal Wave Detection from SAR Images using Particle Swarm Optimization

Abstract

The internal waves are the waves that occur in the deep ocean. Many researchers found different methods for the detection of internal waves. As we all know that machine learning is the fastest growing technology to solve complicated problems. So, here in this paper we took this advantage for the detection of internal waves because this is also considered as a complicated problem. Based on this a novel method is proposed for internal wave detection using neural networks which is a method that acts as a human brain. A novel system using Particle swarm optimization is proposed in this paper to automatically detect internal waves. Such system can differentiate with surface wavelets and slicks. This paper describes extraction of internal wave parameters from SAR images. Initially ocean internal wave detection is modeled based on optimization algorithms. In the proposed method, two models such as feature representation model and prediction model will be build.