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

基于航海人员预测的雷达图像处理船舶检测方法

• 批准号: 24760681
• 负责人: NISHIZAKI Chihiro
• 金额: $ 0.83万
• 依托单位: National Maritime Research Institute
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Young Scientists (B)
• 财政年份: 2012
• 资助国家: 日本
• 起止时间: 2012-04-01 至 2014-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24760681/
• 关键词: 見張り支援; レーダ画像; レーダ画像処理; 小型船舶; 航海士; 船舶運航; 海上安全; 操船者

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%.

为了节省航海人员的工作，保证航行质量，有必要对雷达图像中的船舶图像进行自动选择和获取。本研究的未来目标是在雷达上自动检测船舶图像。因此，在本研究中，我们提出了利用雷达栅格图像进行图像处理和聚类分析的方法来区分船舶图像和非船舶图像。通过图像处理和聚类分析，可以从雷达栅格图像中检测出大部分船舶图像。然而，在许多情况下，将非船舶图像归类为船舶图像。因此，本研究的聚类分析结果准确率约为83%。

项目成果

A method for feature extraction and classification of marine radar images

• DOI: 10.1109/wac.2014.6935652
• 发表时间: 2014-10
• 期刊: 2014 World Automation Congress (WAC)
• 作者: Chihiro Nishizaki;Y. Niwa;Motonobu Imasato;Hisaya Motogi

A Method for Feature Extraction and Classification of Marine Radar Images, Proceedings of World Automation Congress 2014 (WAC2014)

海洋雷达图像特征提取和分类的方法，2014 年世界自动化大会论文集 (WAC2014)

• 发表时间: 2014
• 期刊: 9^<th> International Forum on Multimedia and Image Processing (IFMIP2014)
• 作者: Chihiro NISHIZAKI;Yasuyuki NIWA;Motonobu IMASATO;Hisaya MOTOGI
• 通讯作者: Hisaya MOTOGI

レーダにおける船舶検出のための特徴抽出に関する研究

雷达船舶检测特征提取研究

• 发表时间: 2013
• 作者: Takeyama Yuko;Ohsawa Teruo;KatsutoshiKozai;Charlotte Bay Hasager;and Merete Badger;Ishibashi Shojiro;西崎ちひろ
• 通讯作者: 西崎ちひろ