Using Snakes with Asymmetric Energy Terms for the Detection of Varying-Contrast Edges in SAR Images

A novel approach using snakes with asymmetric external energy terms significantly improves the detection of varying-contrast edges in synthetic aperture radar (SAR) images, addressing challenges posed by speckle noise and SAR imaging techniques. This method demonstrates enhanced accuracy for identifying tidal creek boundaries in the Wadden Sea, a UNESCO World Heritage Site located in the German Bight (North Sea). The study leverages active contour methods, traditionally effective for boundary detection, but adapts them with asymmetric energy terms to better handle the unique characteristics of SAR images. Initial results using an ENVISAT ASAR image show promising improvements, offering potential for more precise remote sensing analysis in complex coastal environments.

Seppke, B., Dreschler-Fischer, L., & Hubbe, N. (2010). Using Snakes with Asymmetric Energy Terms for the Detection of Varying-Contrast Edges in SAR Images. 2010 20th International Conference on Pattern Recognition, 2792–2795. https://doi.org/10.1109/icpr.2010.684