Green Tide Information Extraction Based on Multi-source Remote Sensing Data

This paper proposes an approach of green tide information extraction based on multi-source remote sensing data. This method combines different types of high-resolution optical images and synthetic aperture radar (SAR) images. Firstly, it is presented that the texture characteristics of the green tide on different remote sensing images. And then the process of its occurrence and development is analyzed. Enhanced vegetation index (EVI) and OSTU algorithm are used to extract area and distribution of green tide, respectively. In the end, the actual GF-2 optical image and GF-3 SAR image are utilized to verify the effectiveness of the proposed method.