文章基本信息

标题：A Kriging-based Interacting Particle Kalman Filter for the simultaneous estimation of temperature and emissivity in Infra-Red imaging
本地全文：下载
作者：Thibaud Toullier ; Jean Dumoulin ; Laurent Mevel 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：456-461
DOI：10.1016/j.ifacol.2020.12.219
语种：English
出版社：Elsevier
摘要：AbstractTemperature estimation through infrared thermography is facing the lack of knowledge of the observed material’s emissivity. The derivation of the physical equations lead to an ill-posed problem. A new Kriged Interacting Particle Kalman Filter is proposed. A state space model relates the measurements to the temperature and the Kalman filter equations yield a filter tracking the temperature over time. Moreover, a particle filter associated to Kriging prediction is interacting with a bank of Kalman filters to estimate the time-varying parameters of the system. The efficiency of the algorithm is tested on a simulated sequence of infrared thermal images.
关键词：KeywordsParticle filteringKalman filteringKrigingThermal Infrared imagingPhysical parameters