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Detection and classification of man-made offshore objects in TerraSAR-X and RapidEye imagery: Selected results of the DeMarine-DEKO project

机译:Terrasar-X和Rapideye图像中人造离岸物体的检测和分类:Demarine-Deko项目的选定结果

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The project DEKO (Detection of artificial objects in sea areas) is integrated in the German DeMarine-Security project and focuses on the detection and classification of ships and offshore artificial objects relying on TerraSAR-X as well as on RapidEye multispectral optical images. The objectives are 1/ the development of reliable detection algorithms and 2/ the definition of effective, customized service concepts. In addition to an earlier publication, we describe in the following paper some selected results of our work. The algorithms for TerraSAR-X have been extended to a processing chain including all needed steps for ship detection and ship signature analysis, with an emphasis on object segmentation. For Rapid Eye imagery, a ship detection algorithm has been developed. Finally, some applications are described: Ship monitoring in the Strait of Dover based on TerraSAR-X StripMap using AIS information for verification, analyzing TerraSAR-X HighResolution scenes of an industrial harbor and finally an example of surveying a wind farm using change detection.
机译:Deko(海域中人工对象的检测)综合在德国Domarine-Security项目中集成,并专注于船舶和近海人造物体依赖于Terrasar-X的船舶以及Rapideye多光谱光学图像的检测和分类。目标是1 /开发可靠的检测算法和2 /有效,定制的服务概念的定义。除了早期的出版物外,我们还描述了以下纸张我们工作的一些选定结果。对的TerraSAR-X的算法已被扩展到处理链包括用于船舶检测和船舶签名分析所需的所有步骤,对对象分割为重点。对于快速眼图像,已经开发出船舶检测算法。最后,描述了一些应用程序:使用AIS信息进行验证的Terrasar-X StripMap,分析工业港的Terrasar-X高度变场景,并最终使用变更检测来调查风电场的示例。

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