Refinement of thermal imager minimum resolvable temperature difference calculating method

Kolobrodov, Valentin G.; Mykytenko, Volodymyr I.

doi:10.1117/12.2228532

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…Вказані розміри пікселів є стандартними для телевізійних та тепловізійних МПВ і навіть за малої фокусної відстані об'єктиву дають достатнє для виявлення типових об'єктів просторове розділення. Тому немає сенсу використовувати складні для розрахунків показники, що описують одночас-но просторові та енергетичні параметри, такі, наприклад, як мінімальну роздільну різницю температур [12] і доцільно в основу розрахункового методу покласти суто енергетичний показник якості.…”

Section: вибір розрахункового показника якості оесс бплаunclassified

ENERGY CALCULATION OF SMALL-SIZED UAVs AUTOMATIC OPTOELECTRONIC OBSERVATION SYSTEMS

Kravchenko¹,

Mykytenko²,

Vasylchuk³

2022

Bull. Kyiv Polytech. Inst. Ser. Instrum. Mak.

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Great popularity of small unmanned aerial vehicles (UAVs) in remote observation tasks requires further improvement of not only the carrier, but also the on-board equipment. Standard means of surveillance for UAVs are television cameras. Thermal imaging cameras are used in more expensive technical solutions. The efficiency of the functioning of these devices primarily depends on spatial and energy resolution of their input units, which containe optical system and detector. Small-sized UAVs operate at short distances. The peculiarity of useful signal formation by optical-electronic surveillance systems (OESS) of such UAVs is the need to primarily ensure sufficient energy sensitivity. The article develops a method for determining the energy resolution of short-range automatic UESs with two information channels - television and thermal imaging. It is justified that for simplified calculations it is advisable to use the functions of the noise-equivalent luminance difference and the noise-equivalent temperature difference of the corresponding channel as quality indicators. Examples of energy resolution calculations of television and thermal imaging channels of the OESS with matrix detectors are given. The influence of focal length and of entrance pupil diameter of the lenses on the energy resolution was studied for observation distances from 0.5 km to 2 km. It is shown that, in OESS with variable magnification, lenses with a larger diameter of the entrance pupil are preferred - they provide more uniform energy sensitivity when changing the focal length. The developed calculation methods can be used for multispectral OESS operating in the visible and infrared spectrum ranges.

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Section: вибір розрахункового показника якості оесс бплаunclassified

ENERGY CALCULATION OF SMALL-SIZED UAVs AUTOMATIC OPTOELECTRONIC OBSERVATION SYSTEMS

Kravchenko¹,

Mykytenko²,

Vasylchuk³

2022

Bull. Kyiv Polytech. Inst. Ser. Instrum. Mak.

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“…The graph of the MRTD agai the spatial frequency is used to characterize the performance of the thermal imag equipment. In the past, the classical MRTD measurement method, which is based on manual s jective detection, has been widely accepted but demonstrates several problems, includ high labor cost and low efficiency, and the results are too influenced by the psycholog factors of the individual to be convincing [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…The purpose of our study is to improve the accuracy of neural networks applied four-rod target classification, thus making the MRTD measurement calibration proc more automated and accurate. To a certain extent, more automated MRTD measurem can lead to faster and cheaper production of thermal imaging cameras, and more accur In the past, the classical MRTD measurement method, which is based on manual subjective detection, has been widely accepted but demonstrates several problems, including high labor cost and low efficiency, and the results are too influenced by the psychological factors of the individual to be convincing [9,10].…”

Section: Introductionmentioning

confidence: 99%

Multiscale Deblurred Feature Extraction Network for Automatic Four-Rod Target Detection in MRTD Measuring Process of Thermal Imagers

Guo

Guan

2023

Sensors

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The minimum resolvable temperature difference (MRTD) at which a four-rod target can be resolved is a critical parameter used to assess the comprehensive performance of thermal imaging systems, which is important for technological innovation in military and other fields. Recently, there have been some attempts to use an automatic objective approach based on deep learning to take the place of the classical manual subjective MRTD measurement approach, which is strongly affected by the psychological subjective factors of the experimenter and is limited in accuracy and speed. However, the scale variability of four-rod targets and the low pixels of infrared thermal cameras have turned out to be a challenging problem for automatic MRTD measurement. We propose a multiscale deblurred feature extraction network (MDF-Net), a backbone based on a yolov5 neural network, in an attempt to solve the aforementioned problem. We first present a global attention mechanism (GAM) attention module to represent strong images of the four-rod targets. Next, a Rep VGG module is introduced to decrease the blur. Our experiments show that the proposed method achieves the desired effect and state-of-the-art detection results, which innovatively improve the accuracy of four-rod target detection to 82.3% and thus make it possible for the thermal imagers to see further and to respond faster and more accurately.

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Concealed multiscale feature extraction network for automatic four-bar target detection in infrared imaging

Tao

Okae

2022

Opt. Eng.

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Refinement of thermal imager minimum resolvable temperature difference calculating method

Cited by 4 publications

References 5 publications

ENERGY CALCULATION OF SMALL-SIZED UAVs AUTOMATIC OPTOELECTRONIC OBSERVATION SYSTEMS

ENERGY CALCULATION OF SMALL-SIZED UAVs AUTOMATIC OPTOELECTRONIC OBSERVATION SYSTEMS

Multiscale Deblurred Feature Extraction Network for Automatic Four-Rod Target Detection in MRTD Measuring Process of Thermal Imagers

Concealed multiscale feature extraction network for automatic four-bar target detection in infrared imaging

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