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
Download:
IMEKO-WC-2009-TC12-086.pdf
DOI:
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Event details
Event name:
XIX IMEKO World Congress
Title:

Fundamental and Applied Metrology

Place:
Lisbon, PORTUGAL
Time:
06 September 2009 - 11 September 2009