A Kriging-based Interacting Particle Kalman Filter for the simultaneous estimation of temperature and emissivity in Infra-Red imaging. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Toullier, Thibaud; Dumoulin, Jean; Mevel, Laurent
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 456
• Page End: 461
• Publication Date: 2020
• Subjects: Particle filtering -- Kalman filtering -- Kriging -- Thermal Infrared imaging -- Physical parameters; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.219
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Temperature 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.