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The artificial object detection and current velocity measurement using SAR Ocean surface images

机译：使用SAR海洋表面图像的人工对象检测和当前速度测量

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摘要

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.
机译：由于水面覆盖范围广，遥感是获取海洋环境信息的最合适方式，以便船舶跟踪，安全目的，生态学研究等。合成孔径雷达（SAR）图像的处理广泛用于控制和监测海面。图像数据可以从地球观察卫星获取，例如Terrasar-X，ERS和Cosmo-Skymed。因此，SAR图像处理可用于解决该研究领域产生的许多问题。本文讨论了其中一些，包括船舶检测，油污控制和海洋电流映射。由于问题的复杂性，需要几种专业算法开发。漏油检测算法包括以下主要步骤：图像预处理，检测暗区，参数提取和分类。船舶检测算法包括以下主要步骤：预先筛选，陆地屏蔽，图像分割与参数测量，船角估计和对象辨别相结合。建议的海洋电流映射方法是基于多普勒的法律。呈现了真实SAR图像上计算机建模的结果。基于这些结果，得出结论，所提出的方法可用于海事申请。

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