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Информационный критерий коррекции зашумлённых гиперспектральных измерительных данных с применением производной спектральной характеристики
Abstract
The method of hyperspectral data processing based on subtraction of noisy effect of the first-order derivative of signal is developed. The criterion for determining of optimum compromise removal of noisy signals and low informative components of signal of hyperspectrometers upon analysis of first-order derivative of these signal is proposed. The formula for determination of hyperspectral data information content is obtained, and the possibility for optimization of that content by utilization of the Euler-Lagrange equation is shown.
About the Authors
Х. Асадов
Национальное аэрокосмическое агентство
Russian Federation
Russian Federation
М. Керимова
Азербайджанский государственный университет нефти и промышленности
Russian Federation
Russian Federation
Р. Эминов
Азербайджанский государственный университет нефти и промышленности
Russian Federation
Russian Federation
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Review
For citations:
, , . Metrologiya. 2018;(1):36-41. (In Russ.)
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