Accuracy increase of temperature measurement on thermal images
Автор: Popov Stanislav Alekseevich, Docin Ilya Igorevich, Yemelyanov Gennady Martinovich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Восстановление изображений, выявление признаков, распознавание образов
Статья в выпуске: 1 т.37, 2013 года.
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Multiresponse regression model is used for dependence of thermal image pixel amplitudes from temperature to increase accuracy of remote indirect method of temperature measurement. Obtained model allows to calculate integral estimation of temperature and its dispersion on all pixels taking into account correlation relationships of amplitude observation errors.
Remote temperature measurement, thermal image, multiresponse model, covariance matrix of observation errors, temperature estimate
Короткий адрес: https://sciup.org/14059135
IDR: 14059135
