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Ship detection methods for maritime domain awareness using SAR satellite data.

机译：使用SAR卫星数据进行海域感知的船舶检测方法。

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摘要

Maritime Domain Awareness is the understanding of all aspects relating to the maritime domain that may have an effect on the security, economy or environment of a country bordering the sea. Large ships in South Africa have historically been monitored using ship-based transponder systems such as Automatic Identification System. These systems transmit geographical ship coordinates which allow operators to track ships. The greatest disadvantage of monitoring ships in this manner is that the transponders need to be installed and switched on in order to track ships.;Experimental results found that the K-distribution is the noise distribution model that best describes the noise of sea-water found within the Synthetic Aperture Radar imagery used in this study. Furthermore, it was determined that ship detection system configurations using the Constant False Alarm Rate prescreening method had the highest average detection accuracies and lowest false alarm rates amongst all of the configurations tested. The various detection system configurations had similar detection accuracies at low thresholds but varied significantly in terms of the number of false alarms.;The monitoring of ships can be done in another manner by taking advantage of Synthetic Aperture Radar imagery which allows for the monitoring of large portions of the Earth. This imagery is generated using an active sensor which makes use of radar pulses to observe areas under any weather condition, day or night. In this dissertation, various ship detection systems configurations were tested using Synthetic Aperture Radar imagery and experimental conclusions were drawn for each configuration. The system was tested against simulated Synthetic Aperture Radar imagery and actual Synthetic Aperture Radar imagery located within the South African Exclusive Economic Zone. Tests were performed in order to evaluate which noise distribution model best models the Synthetic Aperture Radar imagery used in this study over South African coastal waters. The parameters and the effects of varying them within each system configuration were evaluated.
机译：对海域的了解是对与海域有关的所有方面的理解，这些方面可能会影响毗邻海洋的国家的安全，经济或环境。过去，南非的大型船舶都是使用基于船舶的应答器系统（例如自动识别系统）进行监控的。这些系统传输船舶地理坐标，从而使操作员可以追踪船舶。以这种方式监视船舶的最大缺点是需要安装并打开应答器才能跟踪船舶。实验结果发现，K分布是最能描述所发现海水噪声的噪声分布模型。在这项研究中使用的“合成孔径雷达”影像中。此外，已确定使用恒定误报率预筛选方法的船舶检测系统配置在所有测试配置中均具有最高的平均检测准确性和最低的误报率。各种检测系统配置在低阈值时具有相似的检测精度，但在误报数量方面差异很大。;可以通过合成孔径雷达图像以另一种方式进行船舶监视，从而可以监视大型地球的各个部分。该图像是使用有源传感器生成的，该有源传感器利用雷达脉冲在白天或黑夜的任何天气条件下观察区域。本文利用合成孔径雷达图像对各种舰船探测系统的配置进行了测试，并针对每种配置得出了实验结论。该系统针对位于南非专属经济区内的模拟合成孔径雷达图像和实际合成孔径雷达图像进行了测试。为了评估哪种噪声分布模型最好地模拟了本研究在南非沿海水域中使用的合成孔径雷达图像，进行了测试。评估了每个系统配置中的参数和更改参数的效果。

著录项

  • 作者

    Schwegmann, Colin Peter.;

  • 作者单位

    University of Pretoria (South Africa).;

  • 授予单位 University of Pretoria (South Africa).;
  • 学科 Computer engineering.
  • 学位 M.Eng.
  • 年度 2014
  • 页码 130 p.
  • 总页数 130
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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