Automatic Extraction Method of Sargassum Based on Spectral-Texture Features of Remote Sensing Images

In this paper, the spectral and texture features of Sargassum first are analyzed through calculating four measures of GLCM and sampling spectrum from typical pixels of Sargassum blooms with high-resolution satellite data. The four-dimensional spectral bands of the image, the first principal component and NVDI are used as the spectral features of the image, and four measures of GLCM are used as the texture features of the image. And then the Sargassum is extracted using SVM by constructing spectral-texture eigenvectors. The experiment achieves superior results compared with the conventional NDVI threshold method.