Thermal Imager Range: Predictions, Expectations, and Reality
Imaging system range defines the maximal distance at which a selected object can be seen and perceived following surveillance task perception criteria. Thermal imagers play a key role in long-range surveillance systems due to the ability to form images during the day or night and in adverse weather...
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Online Access: | https://www.mdpi.com/1424-8220/19/15/3313 |
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doaj-b69412ca02d249849e4e9d750d5a13f92020-11-25T00:13:43ZengMDPI AGSensors1424-82202019-07-011915331310.3390/s19153313s19153313Thermal Imager Range: Predictions, Expectations, and RealityDragana Perić0Branko Livada1Miroslav Perić2Saša Vujić3Vlatacom Institute, 11070 Belgrade, SerbiaVlatacom Institute, 11070 Belgrade, SerbiaVlatacom Institute, 11070 Belgrade, SerbiaVlatacom Institute, 11070 Belgrade, SerbiaImaging system range defines the maximal distance at which a selected object can be seen and perceived following surveillance task perception criteria. Thermal imagers play a key role in long-range surveillance systems due to the ability to form images during the day or night and in adverse weather conditions. The thermal imager range depends on imager design parameters, scene and transmission path properties. Imager range prediction is supported by theoretical models that provide the ability to check range performance, compare range performances for different systems, extend range prediction in field conditions, and support laboratory measurements related to range. A condensed review of the theoretical model’s genesis and capabilities is presented. We applied model-based performance calculation for several thermal imagers used in our long-range surveillance systems and compared the results with laboratory performance measurement results with the intention of providing the range prediction in selected field conditions. The key objective of the paper is to provide users with reliable data regarding expectations during a field mission.https://www.mdpi.com/1424-8220/19/15/3313surveillance systemsthermal imagingrange predictionminimal resolvable temperature difference (MRTD) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dragana Perić Branko Livada Miroslav Perić Saša Vujić |
spellingShingle |
Dragana Perić Branko Livada Miroslav Perić Saša Vujić Thermal Imager Range: Predictions, Expectations, and Reality Sensors surveillance systems thermal imaging range prediction minimal resolvable temperature difference (MRTD) |
author_facet |
Dragana Perić Branko Livada Miroslav Perić Saša Vujić |
author_sort |
Dragana Perić |
title |
Thermal Imager Range: Predictions, Expectations, and Reality |
title_short |
Thermal Imager Range: Predictions, Expectations, and Reality |
title_full |
Thermal Imager Range: Predictions, Expectations, and Reality |
title_fullStr |
Thermal Imager Range: Predictions, Expectations, and Reality |
title_full_unstemmed |
Thermal Imager Range: Predictions, Expectations, and Reality |
title_sort |
thermal imager range: predictions, expectations, and reality |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2019-07-01 |
description |
Imaging system range defines the maximal distance at which a selected object can be seen and perceived following surveillance task perception criteria. Thermal imagers play a key role in long-range surveillance systems due to the ability to form images during the day or night and in adverse weather conditions. The thermal imager range depends on imager design parameters, scene and transmission path properties. Imager range prediction is supported by theoretical models that provide the ability to check range performance, compare range performances for different systems, extend range prediction in field conditions, and support laboratory measurements related to range. A condensed review of the theoretical model’s genesis and capabilities is presented. We applied model-based performance calculation for several thermal imagers used in our long-range surveillance systems and compared the results with laboratory performance measurement results with the intention of providing the range prediction in selected field conditions. The key objective of the paper is to provide users with reliable data regarding expectations during a field mission. |
topic |
surveillance systems thermal imaging range prediction minimal resolvable temperature difference (MRTD) |
url |
https://www.mdpi.com/1424-8220/19/15/3313 |
work_keys_str_mv |
AT draganaperic thermalimagerrangepredictionsexpectationsandreality AT brankolivada thermalimagerrangepredictionsexpectationsandreality AT miroslavperic thermalimagerrangepredictionsexpectationsandreality AT sasavujic thermalimagerrangepredictionsexpectationsandreality |
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