Ocean Surface Features Extraction using Morphological Techniques from Sentinel-1A Data

SAR (Synthetic Aperture Radar) imagery of the ocean surface obtained from remote sensing instruments is one of the prominent research areas. In this paper, detection of oceanic features from SAR using morphological technique is proposed. The detected surface features are presented in layered form. The main advantage of such representation is features can be easily enabled or disabled on SAR image. Algorithm is tested on Sentinel-1A dataset of ocean surface. Keywords: SAR Images, Surface Features, Layered information, Detection algorithm.