Mathematical Model and Synthetic Data Generation for Infra-Red Sensors

Mathematical Model and Synthetic Data Generation for Infra-Red Sensors

A key challenge in further improving infrared (IR) sensor capabilities is the development of efficient data pre-processing algorithms. This paper addresses this challenge by providing a mathematical model and synthetic data generation framework for an uncooled IR sensor. The developed model is capab...

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Bibliographic Details
Main Authors: Laura Leja, Vitālijs Purlans, Rihards Novickis, Andrejs Cvetkovs, Kaspars Ozols
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
infrared sensors
synthetic data
calibration
microbolometer
non-uniformity
Online Access:https://www.mdpi.com/1424-8220/22/23/9458

Internet

https://www.mdpi.com/1424-8220/22/23/9458

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