基于物像尺度变换的河流水面流场定标方法

发布时间：2018-06-27 07:25

  本文选题：单目视觉 + 平面测量　； 参考：《仪器仪表学报》2017年09期

【摘要】：河流水面成像测速是一种非接触式测流技术,其中流场的定标主要基于直接线性变换法(DLT)。由于严重依赖于河流两岸控制点的数量、分布及坐标勘测精度,现有测量系统受到野外复杂施测条件的制约而难以快速安全布设。对此提出了一种基于物像尺度变换(OIS)的流场定标方法。在考虑相机倾角及水位变化的基础上,通过建立倾斜视角下变高平面的成像模型,推导出像平面和河流水面间"点-距离"的变换关系。进而设计一种激光测距仪辅助的测量装置及其检校方法用于模型参数的获取。实验结果表明,OIS法在精度方面与DLT法相当,但无需在现场采用全站仪布设控制点,显著提高了野外作业的效率和安全性。研究有望为新型集成一体化光学测流仪器的设计提供理论和技术方法上的支撑。
[Abstract]:River surface imaging velocimetry is a non-contact flow measurement technique in which the calibration of flow field is mainly based on direct linear transformation (DLT). Due to the heavy dependence on the number, distribution and coordinate survey accuracy of the control points on both sides of the river, the existing survey systems are restricted by the complex field survey conditions and are difficult to be quickly and safely arranged. In this paper, a flow field calibration method based on object scale transformation (OIS) is proposed. On the basis of considering the variation of camera inclination and water level, the transformation relationship of "point-distance" between the image plane and the river surface is derived by establishing the imaging model of the elevation plane under the inclined angle. Then a laser rangefinder auxiliary measuring device and its calibration method are designed to obtain the model parameters. The experimental results show that the precision of the OIS method is comparable to that of the DLT method, but it is not necessary to use the total station to set up the control points in the field, which improves the efficiency and safety of the field work. The research is expected to provide theoretical and technical support for the design of a new integrated optical current measuring instrument.
【作者单位】： 江西省水信息协同感知与智能处理重点实验室;河海大学计算机与信息学院;
【基金】：江西省水信息协同感知与智能处理重点实验室开放基金(2016WICSIP006) 江苏省自然科学基金青年基金(BK20170891) 国家自然科学基金青年科学基金(51709083) 中央高校基本科研业务费专项资金(2017B16914)项目资助
【分类号】：P332;TP391.41
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本文编号：2073146