NEURAL NETWORK BASED CORRECTION OF INFRARED THERMAL IMAGER FOR SHORT DISTANCE MEASUREMENT

Jian Sun, Enhui Zheng, Le Chen, Yanyan Huang, Yaqiong Fu

Abstract

Based on the formula of image radiation, the influence of distance on the temperature measurement accuracy using IR thermal imager is analyzed in theory. Then an algorithm for correction based on neural network is proposed. The error caused by the difference between measuring distance and calibration distance is reduced.

Keywords

temperature measurement accuracy, distance, correction

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IMEKO-WC-2009-TC12-086.pdf

DOI

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IMEKO TC

TC12 - Temperature and Thermal Measurements

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