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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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:
Online Access:https://www.mdpi.com/1424-8220/22/23/9458
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author Laura Leja
Vitālijs Purlans
Rihards Novickis
Andrejs Cvetkovs
Kaspars Ozols
author_facet Laura Leja
Vitālijs Purlans
Rihards Novickis
Andrejs Cvetkovs
Kaspars Ozols
author_sort Laura Leja
collection DOAJ
description 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 capable of generating synthetic data for the design of data pre-processing algorithms of uncooled IR sensors. The mathematical model accounts for the physical characteristics of the focal plane array, bolometer readout, optics and the environment. The framework permits the sensor simulation with a range of sensor configurations, pixel defectiveness, non-uniformity and noise parameters.
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spelling doaj.art-8a57ed8d4ea3455fafcd30e2303d4b8e2023-11-24T12:14:41ZengMDPI AGSensors1424-82202022-12-012223945810.3390/s22239458Mathematical Model and Synthetic Data Generation for Infra-Red SensorsLaura Leja0Vitālijs Purlans1Rihards Novickis2Andrejs Cvetkovs3Kaspars Ozols4Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, LatviaInstitute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, LatviaInstitute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, LatviaInstitute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, LatviaInstitute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, LatviaA 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 capable of generating synthetic data for the design of data pre-processing algorithms of uncooled IR sensors. The mathematical model accounts for the physical characteristics of the focal plane array, bolometer readout, optics and the environment. The framework permits the sensor simulation with a range of sensor configurations, pixel defectiveness, non-uniformity and noise parameters.https://www.mdpi.com/1424-8220/22/23/9458infrared sensorssynthetic datacalibrationmicrobolometernon-uniformity
spellingShingle Laura Leja
Vitālijs Purlans
Rihards Novickis
Andrejs Cvetkovs
Kaspars Ozols
Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
Sensors
infrared sensors
synthetic data
calibration
microbolometer
non-uniformity
title Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
title_full Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
title_fullStr Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
title_full_unstemmed Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
title_short Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
title_sort mathematical model and synthetic data generation for infra red sensors
topic infrared sensors
synthetic data
calibration
microbolometer
non-uniformity
url https://www.mdpi.com/1424-8220/22/23/9458
work_keys_str_mv AT lauraleja mathematicalmodelandsyntheticdatagenerationforinfraredsensors
AT vitalijspurlans mathematicalmodelandsyntheticdatagenerationforinfraredsensors
AT rihardsnovickis mathematicalmodelandsyntheticdatagenerationforinfraredsensors
AT andrejscvetkovs mathematicalmodelandsyntheticdatagenerationforinfraredsensors
AT kasparsozols mathematicalmodelandsyntheticdatagenerationforinfraredsensors