本文選題：單目視覺(jué) + 平面測(cè)量　； 參考：《儀器儀表學(xué)報(bào)》2017年09期

【摘要】：河流水面成像測(cè)速是一種非接觸式測(cè)流技術(shù),其中流場(chǎng)的定標(biāo)主要基于直接線性變換法(DLT)。由于嚴(yán)重依賴于河流兩岸控制點(diǎn)的數(shù)量、分布及坐標(biāo)勘測(cè)精度,現(xiàn)有測(cè)量系統(tǒng)受到野外復(fù)雜施測(cè)條件的制約而難以快速安全布設(shè)。對(duì)此提出了一種基于物像尺度變換(OIS)的流場(chǎng)定標(biāo)方法。在考慮相機(jī)傾角及水位變化的基礎(chǔ)上,通過(guò)建立傾斜視角下變高平面的成像模型,推導(dǎo)出像平面和河流水面間"點(diǎn)-距離"的變換關(guān)系。進(jìn)而設(shè)計(jì)一種激光測(cè)距儀輔助的測(cè)量裝置及其檢校方法用于模型參數(shù)的獲取。實(shí)驗(yàn)結(jié)果表明,OIS法在精度方面與DLT法相當(dāng),但無(wú)需在現(xiàn)場(chǎng)采用全站儀布設(shè)控制點(diǎn),顯著提高了野外作業(yè)的效率和安全性。研究有望為新型集成一體化光學(xué)測(cè)流儀器的設(shè)計(jì)提供理論和技術(shù)方法上的支撐。
[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.
【作者單位】： 江西省水信息協(xié)同感知與智能處理重點(diǎn)實(shí)驗(yàn)室;河海大學(xué)計(jì)算機(jī)與信息學(xué)院;
【基金】：江西省水信息協(xié)同感知與智能處理重點(diǎn)實(shí)驗(yàn)室開(kāi)放基金(2016WICSIP006) 江蘇省自然科學(xué)基金青年基金(BK20170891) 國(guó)家自然科學(xué)基金青年科學(xué)基金(51709083) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金(2017B16914)項(xiàng)目資助
【分類號(hào)】：P332;TP391.41
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本文編號(hào)：2073146