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Semi-automatic Oil Spill Detection in Sentinel-1 SAR Images at Brazil’s Coast

Authors:
Alexandre Silva
William Branco
Dagnaldo Silva
Lui Habl
Thaise Sarmento
Mariano Pascual

Keywords: semi-automatic; sentinel-1; sar; oil spill; seas monitoring.

Abstract:
This paper reports a methodology proposed on the matter of semi-automatic detection of oil spills using Sentinel-1 Synthetic Aperture Radar (SAR) images to improve the capability of management of government agencies for oil spills incidents over the seas. This is an initiative to create a semi-automated system of detection based on free images of Sentinel-1 using an intelligent database of samples statistics of oils, confirmed by vessels or airplanes and photo-interpreted, and oceanographic features that continues improving itself over time. The results indicate that both the VV and HH polarizations of the Sentinel-1 detected probable oil-spills and look-alikes, however, the utility of the Sentinel-1 cross-polarizations (VH and HV) in oil-spill detection could not be discarded. Other parameters will be improved and included in this study, as parameters of segmentation, besides process of data mining.

Pages: 1 to 5

Copyright: Copyright (c) IARIA, 2017

Publication date: March 19, 2017

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-539-5

Location: Nice, France

Dates: from March 19, 2017 to March 23, 2017