High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation
This work addresses coastline extraction for maritime and coastal monitoring applications, representing an incremental improvement in SAR image processing.
The authors tackled coastline extraction from SAR images using the MISP-GGD superpixel segmentation method, achieving high accuracy in generating land/water masks for coastline extraction across varied SAR images.
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.