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

被引：0

作者：

Sun Jian ^{[1
]}

Zheng Enhui ^{[1
]}

Chen Le ^{[1
]}

Huang Yanyan ^{[1
]}

Fu Yaqiong ^{[1
]}

机构：

[1] China Jiliang Univ, Coll Mechatron Engn, Hangzhou 310018, Peoples R China

来源：

XIX IMEKO WORLD CONGRESS: FUNDAMENTAL AND APPLIED METROLOGY, PROCEEDINGS | 2009年

关键词：

temperature measurement accuracy; distance; correction;

D O I：

暂无

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

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.

引用

页码：1497 / 1499

页数：3