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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MDPI AG
2022-12-01
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Series: | Sensors |
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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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format | Article |
id | doaj.art-8a57ed8d4ea3455fafcd30e2303d4b8e |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T17:32:02Z |
publishDate | 2022-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
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 |