论文标题
SAR图像中的高分辨率海岸线提取通过misp-ggd超级像素细分
High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation
论文作者
论文摘要
从SAR图像中提取的高精度海岸线/海岸线提取是许多海上和沿海监测应用中的关键步骤。我们提出了一种基于图像分割的方法，使用广义伽马混合物模型超级像素算法（MISP-GGGD）。 MISP-GGD会产生超级像素，非常准确地贴在图像中的对象边缘，例如海岸线。根据质地和辐射特征对生成的超像素的无监督聚类可以生成陆地/水面面罩，从中可以从中提取高度准确的海岸线。我们介绍了我们提出的方法对许多不同特征的SAR图像的结果。
High accuracy coastline/shoreline extraction from SAR imagery is a crucial step in a number of maritime and coastal monitoring applications. We present a method based on image segmentation using the Generalised Gamma Mixture Model superpixel algorithm (MISP-GGD). MISP-GGD produces superpixels adhering with great accuracy to object edges in the image, such as the coastline. Unsupervised clustering of the generated superpixels according to textural and radiometric features allows for generation of a land/water mask from which a highly accurate coastline can be extracted. We present results of our proposed method on a number of SAR images of varying characteristics.
