空气动力学学报2026，Vol.44Issue(3)：35-43,9.DOI:10.7638/kqdlxxb-2024.0200
飞行器模型表面三维温度场重建方法
Reconstruction method for three-dimensional temperature field on the aircraft model surface
摘要
Abstract
A method for reconstructing the three-dimensional temperature field of an aircraft model surface is proposed to address the issues of low resolution of infrared images and limited testing angles in wind tunnel tests,which result in insufficient accuracy in reconstructing the surface temperature field of the aircraft.Firstly,a feature point recognition algorithm based on multi-frame infrared images is adopted to identify and locate the feature points;Secondly,the temperature distortion area of the aircraft model is filtered through the panel selection method;Finally,the multi view temperature data obtained from wind tunnel tests are assigned using temperature assignment.The experimental results show that compared to conventional single-frame recognition methods,the multi-frame processing algorithm improves feature point positioning accuracy by 25%.Under low-resolution infrared imaging conditions(≤640 pixel×512 pixel),the proposed method achieves a feature point recognition rate of 96.875%for 3D temperature field reconstruction on aircraft surfaces,surpassing both normalized cross correlation and convolutional neural network-based algorithms(93.75%).This advancement significantly enhances the precision of the reconstructed 3D temperature field.关键词
风洞试验/温度场/三维重建/红外图像/特征点识别/卷积神经网络/飞行器Key words
wind tunnel experiment/temperature field/3D reconstruction/infrared image/feature point recognition/convolutional neural network/aircraft分类
信息技术与安全科学引用本文复制引用
涂兵,黄丹平,李明..飞行器模型表面三维温度场重建方法[J].空气动力学学报,2026,44(3):35-43,9.基金项目
国家自然科学基金(52370067) （52370067）
