测试浴度数据减少对数字底部模型形状的影响
Wiktor Mujta1, Marta Wlodarczyk-Sielicka2, Andrzej Stateczny3
1Marine Technology Ltd., 81-521 Gdynia, Poland.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
本研究分析了用于创建数字底部模型的浴度数据减少方法. 它比较了不同的减少技术,以评估它们对底部表面表示的影响,这对沿海地区研究至关重要.
科学领域:
- 地理学就是地质学.
- 水文图学 水文图学
- 沿海工程 沿海工程
背景情况:
- 浴度数据和数字底部模型对于内陆和沿海水域研究至关重要.
- 高效的数据处理对于分析,传输和存储大型数据集至关重要.
研究的目的:
- 为了研究浴度数据缩小方法.
- 评估数据减少对数值底部模型准确性的影响.
- 为了比较不同的数据缩小算法及其有效性.
主要方法:
- 通过离散多项式函数来创建测试数据集.
- 使用自主调查船 (HydroDron-1) 上的干扰度回声探测器获取真实水度数据.
- 在两个商业软件包中应用数据减少技术,具有一致的减少参数.
主要成果:
- 通过对数值底部模型和同位体浴室进行视觉比较来分析缩小的浴体数据集.
- 减少数据的统计参数评估.
- 数字底部模型和同位体浴的空间可视化.
结论:
- 数据减少显著影响数字底部模型的可靠性.
- 减少方法和参数的选择会影响水度数据的准确性和可用性.
- 这些发现支持开发先进的沿海区域监测系统.
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