  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.
