Data preprocessing and fitting algorithm based on marine data sampled by multiple underwater gliders

Abstract

To our knowledge, this paper investigates the first application of the marine data sampled by multiple underwater gliders in the area of the South China Sea. We summarize six main characteristics of the sampled marine data. Due to the characteristic of big data volume, how to display these data is an important and difficult problem. In order to solve this problem, we process the marine data through two steps, i.e., data preprocessing and data fitting. Data preprocessing includes GPS data transformation and the preprocessing of the null and wrong values. Furthermore, we propose a new data fitting algorithm based on time extraction and space compression (DFTS) to solve the problem of big data display. Experiment results based on the real marine data show the feasibility and rationality of the proposed method.