A Method for Ship Detection by the Radar Image Processing based on the Prediction of Navigation Officers

为了节省航海人员的工作量，保证值班质量，有必要对雷达图像中的舰船图像进行自动提取，本研究的目的是实现雷达图像中舰船图像的自动检测。因此，在本研究中，我们提出了一种透过影像处理来区分船舶影像与非船舶影像的方法， 利用雷达光栅图像进行聚类分析。作为图像处理和聚类分析的结果，可以检测到大部分的 从雷达光栅图像中提取船舶图像。然而，有很多情况下，非船舶图像被归类为船舶图像。因此，本研究聚类分析结果的准确率约为83%。

In order to save the effort of navigation officers with keeping watch quality, it is necessary to select and acquire ship images in radar images automatically.The future purpose of this study is to automatically detect ship images on the radar. Therefore, in this study, we proposed the method for dividing ship images from non-ship images by the image processing and the cluster analysis using radar raster images.As a result of the image processing and the cluster analysis, it was possible to detect a large part of ship images from radar raster images. However, there were many cases that non-ship images were classed as ship images. Therefore, the accuracy rate of cluster analysis results in this study was about 83%.