レーダ画像処理による船舶映像の抽出に関する研究

概要

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Ship's navigation officers are required to recognize many ships' movement and to avoid collision risk in sea area with high traffic density. However, radar information is based on reflection of targets. To obtain reliable information of other ships' movement, they have to select target ship's Radar echo from a lot of Radar echoes. If the radar could be discriminate between ships and other images and the automatic acquire function of Automatic Radar Plotting Aid system (ARPA) could be used effectively, ship's officers' workloads would be reduced. In this study, radar echo characters such as size, echo level, and continuous lap were focused and automatic ships image detection algorithm was developed. Continuous lap meant the lap of same position images with superposition of continuous two Radar Images. As a result, the Image processing was enabled to narrow down from 922 to 46 images including 21 ships images. This detective method shows that narrowing down images is available under easy Image processing with short intervals.
2009-09-25