Surface feature-based yellow river delta turbid sea area sea ice classification method

The invention discloses a surface feature-based yellow river delta turbid sea area sea ice classification method. The specific process comprises the steps of generating a land mask, using wave band calculation to enhance image sea ice information, generating a texture image and an edge image, generating an edge point density map, using the edge point density map to enhance the texture image, extracting sea ice through an object-oriented method, and classifying the sea ice through the object-oriented method. The method is suitable for sea ice classification based on sea ice surface features in turbid sea areas of the Yellow River Delta, sea ice extraction and classification can be achieved only by using four wave bands of red, green, blue and near-red of remote sensing images, and the method is suitable for data such as Landsat, Sentinel-2, GF1 and GF2. 本发明公开了一种基于表面特征的黄河三角洲浑浊海域海冰分类方法，具体过程包括生成陆地掩膜、使用波段计算增强图像海冰信息、生成纹理图像和边缘图像、生成边缘点密度图、使用边缘点密度图增强纹理图像、面向对象方法提取海冰、面向对象方法的海冰分类。本发明方法适合于黄河三角洲浑浊海域的基于海冰表面特征的海冰分类，只需利用遥感影像的