Remote sensing technology is an important means of ocean exploration. Unmanned aerial vehicle (UAV) remote sensing is widely used in small observation areas because of its flexible operation, timely data transmission, and high spatial resolution. According to these characteristics, we propose a ship attribute inversion algorithm based on the wake characteristics. First, a band selection method is used to reduce the data dimensionality and remove redundant information from UAV remote sensing data. Then, the ship wake is detected by extracting the shear wave (S-wave) characteristics. Finally, the ship’s motion parameters are inverted according to the S-wave attributes. The experimental results show that the method proposed can detect the wakes effectively and estimate ship velocity accurately using the UAV-obtained hyperspectral images.

中文翻译：

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基于无人机的高光谱成像传感器获取的图像估计船舶速度

遥感技术是海洋探索的重要手段。无人机（UAV）遥感以其操作灵活、数据传输及时、空间分辨率高等优点被广泛应用于小型观测区域。针对这些特点，我们提出了一种基于尾流特性的船舶属性反演算法。首先，采用波段选择方法降低数据维数，去除无人机遥感数据中的冗余信息。然后，通过提取横波（S 波）特征来检测船舶尾流。最后，根据横波属性对船舶的运动参数进行反演。实验结果表明，所提出的方法可以有效地检测尾流，并利用无人机获得的高光谱图像准确估计船速。