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The artificial object detection and current velocity measurement using SAR ocean surface images
Author(s): Boris Alpatov; Valery Strotov; Maksim Ershov; Vadim Muraviev; Alexander Feldman; Sergey Smirnov
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Paper Abstract

Due to the fact that water surface covers wide areas, remote sensing is the most appropriate way of getting information about ocean environment for vessel tracking, security purposes, ecological studies and others. Processing of synthetic aperture radar (SAR) images is extensively used for control and monitoring of the ocean surface. Image data can be acquired from Earth observation satellites, such as TerraSAR-X, ERS, and COSMO-SkyMed. Thus, SAR image processing can be used to solve many problems arising in this field of research. This paper discusses some of them including ship detection, oil pollution control and ocean currents mapping. Due to complexity of the problem several specialized algorithm are necessary to develop. The oil spill detection algorithm consists of the following main steps: image preprocessing, detection of dark areas, parameter extraction and classification. The ship detection algorithm consists of the following main steps: prescreening, land masking, image segmentation combined with parameter measurement, ship orientation estimation and object discrimination. The proposed approach to ocean currents mapping is based on Doppler's law. The results of computer modeling on real SAR images are presented. Based on these results it is concluded that the proposed approaches can be used in maritime applications.

Paper Details

Date Published: 13 October 2017
PDF: 9 pages
Proc. SPIE 10422, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017, 1042211 (13 October 2017); doi: 10.1117/12.2277929
Show Author Affiliations
Boris Alpatov, Ryazan State Radio Engineering Univ. (Russian Federation)
Valery Strotov, Ryazan State Radio Engineering Univ. (Russian Federation)
Maksim Ershov, Ryazan State Radio Engineering Univ. (Russian Federation)
Vadim Muraviev, Ryazan State Radio Engineering Univ. (Russian Federation)
Alexander Feldman, Ryazan State Radio Engineering Univ. (Russian Federation)
Sergey Smirnov, Ryazan State Radio Engineering Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10422:
Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017
Charles R. Bostater; Stelios P. Mertikas; Xavier Neyt; Sergey Babichenko, Editor(s)

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