A method for feature extraction and classification of marine radar images
A method for feature extraction and classification of marine radar images
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DOI：
10.1109/wac.2014.6935652
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发表时间：
2014-10
期刊：
影响因子：
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通讯作者：
Chihiro Nishizaki;Y. Niwa;Motonobu Imasato;Hisaya Motogi
中科院分区：
文献类型：
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作者：
Chihiro Nishizaki;Y. Niwa;Motonobu Imasato;Hisaya Motogi
雷达图像上有船舶图像（目标）和非船舶图像（噪声）。为了从雷达图像中获取其他船舶信息，需要在雷达图像上选择并获取船舶图像。船舶图像由航海人员根据其观察技能和经验选择和获取。这项研究未来的目的是在雷达上自动检测船舶图像。因此，在本文中，我们提出了利用雷达栅格图像进行图像处理和聚类分析来将船舶图像与非船舶图像分开的方法。利用雷达光栅图像进行图像处理，提取出许多图像特征点。使用这些图像特征点进行聚类分析的结果是，可以从雷达光栅图像中检测出约99.8%的船舶图像。然而，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%。换句话说，在本研究中可以公平地确定大约 83% 的图像。
There are ship images (target) and non-ship images (noise) on radar images. In order to obtain other ship information from radar images, it is necessary to select and acquire ship images on radar images. Ship images are selected and acquired by navigation officers based on their observation skill and experience. The future purpose of this study is to automatically detect ship images on the radar. Therefore, in this paper, we propose the method for dividing ship images from non-ship images by the image processing and the cluster analysis using radar raster images. Many image feature points were extracted by the image processing using radar raster images. As a result of the cluster analysis using these image feature points, it is possible to detect about 99.8% 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%. In other words, it was possible to fairly determine about 83% images in this study.