实验流体力学2025，Vol.39Issue(4)：55-61,7.DOI:10.11729/syltlx20230011
基于多目标优化的光场多光谱温度反演方法
Multi-objective optimization method for light-field multi-spectral pyrometer
摘要
Abstract
A light-field multi-spectral pyrometer is designed for two-dimensional,high-temperature measurements.The proposed method is based on an unfocused light-field camera,which can simultaneously record directions and intensities of incident rays.The direction information of rays is substituted by radiation spectrums via placing an array of filters in front of the camera's main lens,such that the image sensor can simultaneously acquire spectra and intensities of rays.For multi-spectral data processing,how to obtain the accurate target temperature under unknown spectral emissivity is a difficult problem to be solved.A multi-objective optimization method is proposed to obtain the inverse true temperature and spectral emissivity without assuming the emissivity model.In this method,the multi-objective function is established according to the radiation equations.The emissivity constraint conditions are set for the objective function,and the penalty function method is used to solve the optimization problem.The calibration experiment results of the black-body furnace show that the relative error of the light-field multi-spectral pyrometer method is less than 1%,which proves the feasibility and reliability of the proposed design and temperature inversion method.关键词
光场成像/多光谱测温/多目标优化Key words
light field imaging/multi-spectral pyrometer/multi-objective optimization分类
航空航天引用本文复制引用
孙林林,方华,施圣贤..基于多目标优化的光场多光谱温度反演方法[J].实验流体力学,2025,39(4):55-61,7.基金项目
国家自然科学基金项目(12172222) （12172222）
