STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Remote Sensing & GIS

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

  1. Ameesha P.K
  2. Lekshmi S.
  3. Arun Kumar M.N.
  4. P.V. Hareesh Kumar

Abstract

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