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

Ameesha P.K, Lekshmi S., Arun Kumar M.N., P.V. Hareesh Kumar


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

Keywords: SAR Images, Surface Features, Layered information, Detection algorithm.

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