Minimum resolvable temperature difference model, simulation, measurement and analysis

Knežević, Desimir; Redjimi, Anis; Mišković, Katarina; Vasiljević, Darko; Nikolić, Zoran; Babic, Jovana

doi:10.1007/s11082-016-0598-7

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…Some researchers [15][16][17] used an indirect method to evaluate the MRTD by computing the modulation transfer function and the noise equivalent temperature difference (NETD) of the thermal imager. Furthermore, a mathematical model [18] for numerical estimation of the MRTD has been proposed, while other scientists have attempted to use indirect methods to generate the four-rod targets using computer simulations [19] or a controlled blackbody [20]. The studies in [21,22] proposed a triangle orientation discrimination threshold (TOD) model, minimum temperature difference perceived (MTDP) and thermal range model (TRM3) to replace the MRTD as the performance parameter of infrared imagers.…”

Section: Related Work Mrtd Measurement Developmentmentioning

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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Section: Related Work Mrtd Measurement Developmentmentioning

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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“…NETD is a measure of noise phenomena, which is used to characterize the total noise information of the IR imaging system. NETD of the IR imaging system can be expressed as [8]:…”

Section: B Sensitivity Of Ir Systemmentioning

confidence: 99%

Trade-off Optimization Method for Infrared Imaging System Based on Modification of λF/d

Yuan

Zhang

et al. 2021

IEEE Access

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The precise matching of the optical system and the detector has attracted more and more attention to satisfy requirements of future infrared (IR) imaging systems, both for miniaturization and longdistance detection. Considering the trade-off between the spatial resolution and the sensitivity, this paper proposes a general optimization method, which can optimize parameters of the IR imaging system automatically by modifying λF/d. Firstly, on the basis of the trade-off between the spatial transfer characteristics and the spatial sampling characteristics, we establish a more accurate minimum resolvable temperature difference (MRTD) model, and analyze the coupling relationship between the optical system and the detector under the optimum MRTD. Secondly, we analyze the relationship between parameters of the IR imaging system and MRTD model, and propose a trade-off optimization approach of the IR imaging system. Finally, this paper verifies the rationality of the optimization method by optimizing CA-295 system. The trade-off optimization method proposed in this paper can not only satisfy the design requirement, but also reduce the size, weight, power consumption and cost (SWaP$) of IR imaging systems.

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“…IR thermography is one of the most used techniques for non-destructive testing in many areas of science and industry. Alone, or combined with other methods, IR thermography can detect surface temperature, heat loss, moisture in walls and roofs, thermal insulation, structural damage, medical problems… [11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Monitoring of a ceramic surface temperature field induced by pulsed Nd:YAG laser

et al. 2021

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Temperature distribution induced by laser radiation is a very important parameter for an efficient and safe application of lasers in different ceramic processing techniques. This paper presents the results of an infrared thermography (IRT) application for monitoring temperature distribution on a ceramic surface during Nd: YAG laser irradiation with different fluences and 8ns pulse duration. FLIR, E40 and SC7200 IR cameras were used with the aim of recording the maximum temperature in the irradiated zones. It was expected that IRT could give some information related to the heat affected zone and possible damage to the base material; however, the results have shown that IR cameras, even those with high performance such as SC7200, cannot record the maximum temperature value at the moment of laser operation, but only the average temperature of the bulk sample material after laser pulses. The results of the numerical simulation have confirmed the value of the thermographic measurements. The microstructure and micromorphology of the ceramic surface before and after the laser treatment were analysed by optical and scanning electron microscopy as well as by examining the roughness of the irradiated and non-irradiated surfaces, while the micromechanical changes were analysed by comparing the micro-hardness of the irradiated and non-exposed surfaces.

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Minimum resolvable temperature difference model, simulation, measurement and analysis

Cited by 6 publications

References 4 publications

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

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

Trade-off Optimization Method for Infrared Imaging System Based on Modification of λF/d

Monitoring of a ceramic surface temperature field induced by pulsed Nd:YAG laser

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