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Ship heading and velocity analysis by wake detection in SAR images

机译:通过SAR图像中的尾迹检测进行船舶航向和速度分析

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With the aim of ship-route estimation, a wake detection method is developed and applied to COSMO/SkyMed and TerraSAR-X Stripmap SAR images over the Gulf of Naples, Italy. In order to mitigate the intrinsic limitations of the threshold logic, the algorithm identifies the wake features according to the hydrodynamic theory. A post-detection validation phase is performed to classify the features as real wake structures by means of merit indexes defined in the intensity domain. After wake reconstruction, ship heading is evaluated on the basis of turbulent wake direction and ship velocity is estimated by both techniques of azimuth shift and Kelvin pattern wavelength. The method is tested over 34 ship wakes identified by visual inspection in both HH and VV images at different incidence angles. For all wakes, no missed detections are reported and at least the turbulent and one narrow-V wakes are correctly identified, with ship heading successfully estimated. Also, the azimuth shift method is applied to estimate velocity for the 10 ships having route with sufficient angular separation from the satellite ground track. In one case ship velocity is successfully estimated with both methods, showing agreement within 14%. (C) 2016 IAA. Published by Elsevier Ltd. All rights reserved.
机译:为了进行船舶航路估计,开发了一种尾迹检测方法,并将其应用于意大利那不勒斯湾上空的COSMO / SkyMed和TerraSAR-X Stripmap SAR图像。为了减轻阈值逻辑的固有局限性,该算法根据流体力学理论识别了尾流特征。执行检测后验证阶段,以通过强度域中定义的优点指标将特征分类为真实的尾流结构。进行尾流重建后,将根据湍流尾流方向评估船的前进方向,并通过方位角偏移和开尔文模式波长这两种技术来估计船速。该方法在HH和VV图像中以不同入射角通过目视检查识别了34艘船尾,并进行了测试。对于所有尾流,均未报告未漏检,并且至少正确识别出湍流和窄V尾流,并成功估计了船首方向。同样,采用方位角偏移法来估计具有与卫星地面航迹有足够角度间隔的航线的10艘船的速度。在一种情况下,两种方法均成功估计了船速,显示一致性在14%以内。 (C)2016 IAA。由Elsevier Ltd.出版。保留所有权利。

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