Infrared Physics & Technology最新文献

英文中文

ADS-YOLO: An enhanced YOLO framework for high-speed MLCCs defect detection

IF 3.1 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-01-23 DOI: 10.1016/j.infrared.2025.105733

Meiyun Chen , Min Li , Qianxue Wang , Xiuhua Cao

Detecting defects in multilayer ceramic capacitors (MLCCs) is a crucial quality control step. Existing methods failed to overcome the challenges posed by issues such as diverse defect scales and blurred edges. Focus on these problems, this paper proposed an efficient framework ADS-YOLO for MLCCs defect detection. Firstly, we introduced an attention-augmented path aggregation neck (A2PAN) structure to improve the model’s ability to extract and focus on features of varying scales and significant differences, thereby enabling more accurate detection. Additionally, we employed a dual residual head (DRH) design, which can reduce the model’s parameter count while maintaining high detection accuracy, ensuring fast response in real-time detection scenarios. Furthermore, a newly designed scaled-IoU locating loss (SSIL) function, enhances the model’s localization accuracy for complex boundaries and shapes, strengthening its ability to predict asymmetrical defect edges. Experiments demonstrate that the proposed ADS-YOLO achieves 4.1 % improvement of mAP, the model parameters and GFLOPs decreased by 21.6 %. and 19.7 % compared with the advanced object detector YOLOv8s.

{"title":"ADS-YOLO: An enhanced YOLO framework for high-speed MLCCs defect detection","authors":"Meiyun Chen , Min Li , Qianxue Wang , Xiuhua Cao","doi":"10.1016/j.infrared.2025.105733","DOIUrl":"10.1016/j.infrared.2025.105733","url":null,"abstract":"<div><div>Detecting defects in multilayer ceramic capacitors (MLCCs) is a crucial quality control step. Existing methods failed to overcome the challenges posed by issues such as diverse defect scales and blurred edges. Focus on these problems, this paper proposed an efficient framework ADS-YOLO for MLCCs defect detection. Firstly, we introduced an attention-augmented path aggregation neck (A2PAN) structure to improve the model’s ability to extract and focus on features of varying scales and significant differences, thereby enabling more accurate detection. Additionally, we employed a dual residual head (DRH) design, which can reduce the model’s parameter count while maintaining high detection accuracy, ensuring fast response in real-time detection scenarios. Furthermore, a newly designed scaled-IoU locating loss (SSIL) function, enhances the model’s localization accuracy for complex boundaries and shapes, strengthening its ability to predict asymmetrical defect edges. Experiments demonstrate that the proposed ADS-YOLO achieves 4.1 % improvement of mAP, the model parameters and GFLOPs decreased by 21.6 %. and 19.7 % compared with the advanced object detector YOLOv8s.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"145 ","pages":"Article 105733"},"PeriodicalIF":3.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-band image fusion via perceptual framework and multiscale texture saliency

IF 3.1 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-01-23 DOI: 10.1016/j.infrared.2025.105728

Zhihao Liu, Weiqi Jin, Dian Sheng, Li Li

Multi-band images provide valuable complementary information, play an important role in target detection and recognition in complex environments, and have become a key research direction. However, existing fusion methods rarely consider or adapt to more than two bands of images and are easily affected by external physical conditions (e.g., variations in sensor characteristics and environmental illumination). This paper proposes a multi-band image fusion method based on a perception framework and multiscale texture saliency. By introducing the perception framework and the human visual system (HVS) space, the source images are decomposed into detail, feature, and base layers according to the perception characteristics of the human eye for texture granularity. Gabor filters were used to obtain the saliency of the fine-grained textures in the detail layer, thereby selectively extracting detailed texture information. The saliency of the feature layer texture was calculated using a Hessian matrix. Fusion weights were then obtained based on the texture complexity at the current scale, allowing for the effective extraction of structural information from the source images. Finally, fusion was performed in the unified framework of the HVS space, and the fusion image was obtained through an inverse transformation. The experimental results indicate that the multiscale texture perceptual framework fusion (MSTPFF) method can effectively transfer textures of different scales in the source images to the fused image, thus preserving the unique details and structural texture information of the multiband images. This transfer aligns with the visual characteristics of the human eye and significantly enhances fusion quality.

{"title":"Multi-band image fusion via perceptual framework and multiscale texture saliency","authors":"Zhihao Liu, Weiqi Jin, Dian Sheng, Li Li","doi":"10.1016/j.infrared.2025.105728","DOIUrl":"10.1016/j.infrared.2025.105728","url":null,"abstract":"<div><div>Multi-band images provide valuable complementary information, play an important role in target detection and recognition in complex environments, and have become a key research direction. However, existing fusion methods rarely consider or adapt to more than two bands of images and are easily affected by external physical conditions (e.g., variations in sensor characteristics and environmental illumination). This paper proposes a multi-band image fusion method based on a perception framework and multiscale texture saliency. By introducing the perception framework and the human visual system (HVS) space, the source images are decomposed into detail, feature, and base layers according to the perception characteristics of the human eye for texture granularity. Gabor filters were used to obtain the saliency of the fine-grained textures in the detail layer, thereby selectively extracting detailed texture information. The saliency of the feature layer texture was calculated using a Hessian matrix. Fusion weights were then obtained based on the texture complexity at the current scale, allowing for the effective extraction of structural information from the source images. Finally, fusion was performed in the unified framework of the HVS space, and the fusion image was obtained through an inverse transformation. The experimental results indicate that the multiscale texture perceptual framework fusion (MSTPFF) method can effectively transfer textures of different scales in the source images to the fused image, thus preserving the unique details and structural texture information of the multiband images. This transfer aligns with the visual characteristics of the human eye and significantly enhances fusion quality.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"145 ","pages":"Article 105728"},"PeriodicalIF":3.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of temperature dependence of tapered optical fibers

IF 3.1 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-01-23 DOI: 10.1016/j.infrared.2025.105725

Qinghao Song , Ying Xiao , Zhihao Huang , Kun Sun , Qing Wu

The temperature-sensitive performance of tapered optical fibers, characterized by high sensitivity and stability, is comprehensively studied. This sensor, based on the coupling between core and cladding modes resulting in Mach-Zehnder interference (MZI), adopts a single-mode fiber (SMF)-multimode fiber (MMF)-tapered SMF-MMF-SMF (SMTMS) hybrid structure. The relationship between resonance wavelength shifts and surrounding temperatures is explored to evaluate its temperature sensitivity. Experimental results reveal that the multimode fiber length and the length of the conical region are critical factors affecting temperature sensitivity. Various SMTMS structures with differing MMF lengths and conical region lengths are fabricated, achieving a maximum sensitivity of −145.8 pm/°C. Notably, the sensor exhibits exceptional stability under laboratory conditions, further demonstrating its reliability for practical applications. With its high sensitivity and robust stability, this sensor shows great promise for applications in fields such as healthcare and environmental monitoring.

{"title":"Investigation of temperature dependence of tapered optical fibers","authors":"Qinghao Song , Ying Xiao , Zhihao Huang , Kun Sun , Qing Wu","doi":"10.1016/j.infrared.2025.105725","DOIUrl":"10.1016/j.infrared.2025.105725","url":null,"abstract":"<div><div>The temperature-sensitive performance of tapered optical fibers, characterized by high sensitivity and stability, is comprehensively studied. This sensor, based on the coupling between core and cladding modes resulting in Mach-Zehnder interference (MZI), adopts a single-mode fiber (SMF)-multimode fiber (MMF)-tapered SMF-MMF-SMF (SMTMS) hybrid structure. The relationship between resonance wavelength shifts and surrounding temperatures is explored to evaluate its temperature sensitivity. Experimental results reveal that the multimode fiber length and the length of the conical region are critical factors affecting temperature sensitivity. Various SMTMS structures with differing MMF lengths and conical region lengths are fabricated, achieving a maximum sensitivity of −145.8 pm/°C. Notably, the sensor exhibits exceptional stability under laboratory conditions, further demonstrating its reliability for practical applications. With its high sensitivity and robust stability, this sensor shows great promise for applications in fields such as healthcare and environmental monitoring.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"145 ","pages":"Article 105725"},"PeriodicalIF":3.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Infrared bolometers based on 40-nm-Thick Nano-Thermoelectric silicon membranes

IF 3.1 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-01-22 DOI: 10.1016/j.infrared.2025.105720

Anton Murros, Kuura Sovanto, Jonna Tiira, Kirsi Tappura, Mika Prunnila, Aapo Varpula

State-of the-art infrared photodetectors operating in the mid- and long-wavelength infrared (MWIR and LWIR) are largely dominated by cryogenically cooled quantum sensors when the target is the highest sensitivity and detection speeds. Nano-thermoelectrics provide a route towards competitive uncooled infrared bolometer technology that can obtain high speed and sensitivity, low-power operation, and cost-effectiveness. We demonstrate nano-thermoelectric LWIR bolometers with fast and high-sensitivity response to LWIR around 10 µm. These devices are based on ultra-thin silicon membranes that utilize the dimensional scaling of silicon nanomembranes in thermoelectric elements and are combined with metallic nanomembranes with subwavelength absorber structures. The fast device performance stems from a low heat capacity design where the thermoelectric beams act both as mechanical supports and transducer elements. Furthermore, by scaling down the thickness of the thermoelectric beams the thermal conductivity is reduced owing to enhanced phonon boundary scattering, resulting in increased sensitivity. The nano-thermoelectric LWIR bolometers are based on 40-nm-thick n- and p-type silicon membranes with LWIR (voltage) responsivities up to 1636 V/W and 1350 V/W and time constants in the range of 300–600 µs, resulting in specific detectivities up to 1.56 × 10⁸ cmHz^1/2/W. We also investigate the use of a heavily doped N++ substrate to increase optical cavity back reflection, resulting in an increased Si substrate reflectance from 30 % to 70 %–75 % for wavelengths between 8–10 µm, resulting in an increase in device responsivity by approximately 20 %.

{"title":"Infrared bolometers based on 40-nm-Thick Nano-Thermoelectric silicon membranes","authors":"Anton Murros, Kuura Sovanto, Jonna Tiira, Kirsi Tappura, Mika Prunnila, Aapo Varpula","doi":"10.1016/j.infrared.2025.105720","DOIUrl":"10.1016/j.infrared.2025.105720","url":null,"abstract":"<div><div>State-of the-art infrared photodetectors operating in the mid- and long-wavelength infrared (MWIR and LWIR) are largely dominated by cryogenically cooled quantum sensors when the target is the highest sensitivity and detection speeds. Nano-thermoelectrics provide a route towards competitive uncooled infrared bolometer technology that can obtain high speed and sensitivity, low-power operation, and cost-effectiveness. We demonstrate nano-thermoelectric LWIR bolometers with fast and high-sensitivity response to LWIR around 10 µm. These devices are based on ultra-thin silicon membranes that utilize the dimensional scaling of silicon nanomembranes in thermoelectric elements and are combined with metallic nanomembranes with subwavelength absorber structures. The fast device performance stems from a low heat capacity design where the thermoelectric beams act both as mechanical supports and transducer elements. Furthermore, by scaling down the thickness of the thermoelectric beams the thermal conductivity is reduced owing to enhanced phonon boundary scattering, resulting in increased sensitivity. The nano-thermoelectric LWIR bolometers are based on 40-nm-thick <em>n</em>- and <em>p</em>-type silicon membranes with LWIR (voltage) responsivities up to 1636 V/W and 1350 V/W and time constants in the range of 300–600 µs, resulting in specific detectivities up to 1.56 × 10<sup>8</sup> cmHz<sup>1/2</sup>/W. We also investigate the use of a heavily doped N++ substrate to increase optical cavity back reflection, resulting in an increased Si substrate reflectance from 30 % to 70 %–75 % for wavelengths between 8–10 µm, resulting in an increase in device responsivity by approximately 20 %.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"145 ","pages":"Article 105720"},"PeriodicalIF":3.1,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Few-photon pixel-level target detection imaging based on 64 × 64 array GM-APD lidar system

IF 3.1 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-01-20 DOI: 10.1016/j.infrared.2025.105722

Kehao Chi , Xialin Liu , Wei Kong , Ruikai Xue , Genghua Huang

Geiger-mode Avalanche Photodiodes (GM-APDs) are renowned for their single-photon sensitivity and sub-picosecond time resolution, making them extensively applicable in the field of active imaging within single-photon lidar systems. Despite these advantages, detecting targets at the pixel level over long distances remains challenging due to significant interference from noise on highly sensitive detectors and a substantial decrease in target detection efficiency when the number of detection frames is reduced. To overcome these challenges, this study introduces a spatiotemporal fusion algorithm for small target detection based on Kernel Density Estimation (KDE), which enhances the detection performance of few-photon, long-distance, pixel-level targets. The algorithm utilizes adaptive bandwidth kernel density estimation tailored for pixel-level target detection and employs spatial area smoothing based on gradient distribution. To validate its effectiveness, the algorithm was implemented in a 64 × 64 array GM-APD photon-counting lidar system and underwent daytime field experiments for verification. The results demonstrated that the system could successfully detect and identify small targets with a cross-sectional area of 0.04 m² at a distance of approximately 430 m with 20 frames. Compared to conventional data processing methods, the proposed algorithm significantly improved the system’s target detection efficiency in complex backgrounds, exhibiting strong robustness and adaptability.

{"title":"Few-photon pixel-level target detection imaging based on 64 × 64 array GM-APD lidar system","authors":"Kehao Chi , Xialin Liu , Wei Kong , Ruikai Xue , Genghua Huang","doi":"10.1016/j.infrared.2025.105722","DOIUrl":"10.1016/j.infrared.2025.105722","url":null,"abstract":"<div><div>Geiger-mode Avalanche Photodiodes (GM-APDs) are renowned for their single-photon sensitivity and sub-picosecond time resolution, making them extensively applicable in the field of active imaging within single-photon lidar systems. Despite these advantages, detecting targets at the pixel level over long distances remains challenging due to significant interference from noise on highly sensitive detectors and a substantial decrease in target detection efficiency when the number of detection frames is reduced. To overcome these challenges, this study introduces a spatiotemporal fusion algorithm for small target detection based on Kernel Density Estimation (KDE), which enhances the detection performance of few-photon, long-distance, pixel-level targets. The algorithm utilizes adaptive bandwidth kernel density estimation tailored for pixel-level target detection and employs spatial area smoothing based on gradient distribution. To validate its effectiveness, the algorithm was implemented in a 64 × 64 array GM-APD photon-counting lidar system and underwent daytime field experiments for verification. The results demonstrated that the system could successfully detect and identify small targets with a cross-sectional area of 0.04 m<sup>2</sup> at a distance of approximately 430 m with 20 frames. Compared to conventional data processing methods, the proposed algorithm significantly improved the system’s target detection efficiency in complex backgrounds, exhibiting strong robustness and adaptability.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"146 ","pages":"Article 105722"},"PeriodicalIF":3.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing thermographic characterisation of delaminated zones in CFRP composites through data fusion with ultrasonic Lamb Waves technique

IF 3.1 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-01-19 DOI: 10.1016/j.infrared.2025.105721

Léa A.C. LECOINTRE , Yu ZHOU , Naoki HOSOYA , Shintaro KAMIYAMA , Shin-ichi TAKEDA , Tomohiro YOKOZEKI

Every Non-Destructive Testing (NDT) technique has some advantages and some limitations. To overcome these, investigations on how to improve the advantages and overcome the limitations of each technique are often reported. Another approach is the fusion of quantitative results extracted from different techniques. In this study, thermal diffusivities are extracted from InfraRed Thermographic inspection and Root Mean Square (RMS) signal values are extracted from Lamb Waves inspection in various structures of CFRP samples including damaged zones. The results shown that the fusion of thermal diffusivity and RMS values allowed us to obtain a better characterisation of damaged zones, particularly for stiffened samples and for samples damaged from artificial lightning strike test. These results allow us to highlight very interesting perspectives for a new philosophy around NDT.

引用次数: 0

Infrared attitude measurement signal parameter estimation based on gradient zero-crossing method

IF 3.1 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-01-15 DOI: 10.1016/j.infrared.2025.105716

Yihan Cao , Qianwen Li , Haifeng Ding , Miaomiao Xu , Ruyun Tian , Xiongzhu Bu

Prior to measuring the attitude of a projectile using contemporary infrared techniques, it is necessary to calibrate the output signal parameters of the infrared sensor. These measurements are influenced by factors such as the projectile’s flight path, surrounding vegetation, and geographical region. To address the issue that the calibrated infrared attitude signal parameters lack applicability for long-distance flights across varying regions and vegetation, a novel method for estimating infrared attitude measurement signal parameters has been developed. This method is based on the gradient zero-crossing method. Based on the gradient information derived from the infrared sensor, the extrema of the infrared signal can be converted into zero-crossing points. By utilizing the update of the maximum value within the nearest half-cycle as the time base, the maximum and minimum values of the infrared attitude measurement signal in the last nearest half-cycle are obtained through interpolation with an approximate uniform variable-speed model. Consequently, the model parameters of the attitude measurement signal, which are applicable to the current projectile flight environment, are estimated and updated. By changing the experimental environment, the feasibility of the infrared signal parameter estimation method for attitude measurement based on the gradient zero-crossing method proposed in this paper is verified. Compared with the calibration results in the same environment, the relative errors of amplitude and bias parameter estimation are respectively less than ±0.81% and ±0.11%. This proposed parameter estimation method addresses the issue of fixed calibration parameters in attitude measurement signals, thereby enhancing the versatility of the infrared attitude measurement method for projectiles.

{"title":"Infrared attitude measurement signal parameter estimation based on gradient zero-crossing method","authors":"Yihan Cao , Qianwen Li , Haifeng Ding , Miaomiao Xu , Ruyun Tian , Xiongzhu Bu","doi":"10.1016/j.infrared.2025.105716","DOIUrl":"10.1016/j.infrared.2025.105716","url":null,"abstract":"<div><div>Prior to measuring the attitude of a projectile using contemporary infrared techniques, it is necessary to calibrate the output signal parameters of the infrared sensor. These measurements are influenced by factors such as the projectile’s flight path, surrounding vegetation, and geographical region. To address the issue that the calibrated infrared attitude signal parameters lack applicability for long-distance flights across varying regions and vegetation, a novel method for estimating infrared attitude measurement signal parameters has been developed. This method is based on the gradient zero-crossing method. Based on the gradient information derived from the infrared sensor, the extrema of the infrared signal can be converted into zero-crossing points. By utilizing the update of the maximum value within the nearest half-cycle as the time base, the maximum and minimum values of the infrared attitude measurement signal in the last nearest half-cycle are obtained through interpolation with an approximate uniform variable-speed model. Consequently, the model parameters of the attitude measurement signal, which are applicable to the current projectile flight environment, are estimated and updated. By changing the experimental environment, the feasibility of the infrared signal parameter estimation method for attitude measurement based on the gradient zero-crossing method proposed in this paper is verified. Compared with the calibration results in the same environment, the relative errors of amplitude and bias parameter estimation are respectively less than ±0.81% and ±0.11%. This proposed parameter estimation method addresses the issue of fixed calibration parameters in attitude measurement signals, thereby enhancing the versatility of the infrared attitude measurement method for projectiles.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"145 ","pages":"Article 105716"},"PeriodicalIF":3.1,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A REBPNet-based IR radiometric calibration method considering ambient temperature change

IF 3.1 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-01-13 DOI: 10.1016/j.infrared.2025.105715

Ting Li , Xuefeng Lai , Sheng Liao , Xulong Zhao , Yucheng Xia , Jinmei Zhou

Considering the calibration problems of the gray-level drift, complicated calibration procedures, numerous calibration points and high time cost in the infrared radiation measurement system when the ambient temperature changes, a REBPNet-based IR radiometric calibration method is proposed. Firstly, a unified database is generated by integrating ambient temperature compensation coefficient, different gray-level images, neutral density attenuators, integration times, and theoretical radiations under the deduced infrared physical model. Then, the calibration coefficients are automatically learned through the relative error backward propagation network. Furthermore, a multi-stage learning strategy is provided for the training of the complex calibration models, including the segmented training database and the learning rate setting rule. Finally, the radiometric calibration experiments are performed on an infrared radiation measurement system. Results show that the method is effective in improving the calibration accuracy when the ambient temperature changes. Additionally, the method is capable of measuring the internal stray radiation and its drift of the optical system and attenuators.

{"title":"A REBPNet-based IR radiometric calibration method considering ambient temperature change","authors":"Ting Li , Xuefeng Lai , Sheng Liao , Xulong Zhao , Yucheng Xia , Jinmei Zhou","doi":"10.1016/j.infrared.2025.105715","DOIUrl":"10.1016/j.infrared.2025.105715","url":null,"abstract":"<div><div>Considering the calibration problems of the gray-level drift, complicated calibration procedures, numerous calibration points and high time cost in the infrared radiation measurement system when the ambient temperature changes, a REBPNet-based IR radiometric calibration method is proposed. Firstly, a unified database is generated by integrating ambient temperature compensation coefficient, different gray-level images, neutral density attenuators, integration times, and theoretical radiations under the deduced infrared physical model. Then, the calibration coefficients are automatically learned through the relative error backward propagation network. Furthermore, a multi-stage learning strategy is provided for the training of the complex calibration models, including the segmented training database and the learning rate setting rule. Finally, the radiometric calibration experiments are performed on an infrared radiation measurement system. Results show that the method is effective in improving the calibration accuracy when the ambient temperature changes. Additionally, the method is capable of measuring the internal stray radiation and its drift of the optical system and attenuators.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"145 ","pages":"Article 105715"},"PeriodicalIF":3.1,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A target detection model based on parallel interactive feature extraction and attention fusion structure

IF 3.1 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-01-11 DOI: 10.1016/j.infrared.2025.105714

Ruxin Gao , Xinyu Li, Tengfei Wang, Haiquan Jin, Yongfei Ma, Qunpo Liu, Bo Su

In this paper, an anomaly inspection algorithm is designed with the infrared anomaly inspection task of substation. Firstly, a parallel interaction feature extraction structure is designed, which can strengthen the information interaction ability of the main part of the model, and the P and R indexes of the model are improved by 4% and 8.7%, respectively; secondly, a parallel encoder structure is designed to strengthen the information interaction between the higher levels of the network, and strengthen the ability of recognizing the small targets; thirdly, a feature attention fusion structure is designed, which can pay attention to the regions to be detected other than the background and the important information channels, so that the information extracted from the features is fully utilized and the model training accuracy is improved. Finally, based on the above innovations, this paper finally proposes a target detection model for substation infrared anomaly inspection, and the mAP50 on substation infrared inspection dataset, FLIRv2, VisDrone2019, and VOC dataset reaches 98.9%, 49.7%, 40.2%, and 79.4%, respectively, which proves the validity of the model design in this paper.

{"title":"A target detection model based on parallel interactive feature extraction and attention fusion structure","authors":"Ruxin Gao , Xinyu Li, Tengfei Wang, Haiquan Jin, Yongfei Ma, Qunpo Liu, Bo Su","doi":"10.1016/j.infrared.2025.105714","DOIUrl":"10.1016/j.infrared.2025.105714","url":null,"abstract":"<div><div>In this paper, an anomaly inspection algorithm is designed with the infrared anomaly inspection task of substation. Firstly, a parallel interaction feature extraction structure is designed, which can strengthen the information interaction ability of the main part of the model, and the P and R indexes of the model are improved by 4% and 8.7%, respectively; secondly, a parallel encoder structure is designed to strengthen the information interaction between the higher levels of the network, and strengthen the ability of recognizing the small targets; thirdly, a feature attention fusion structure is designed, which can pay attention to the regions to be detected other than the background and the important information channels, so that the information extracted from the features is fully utilized and the model training accuracy is improved. Finally, based on the above innovations, this paper finally proposes a target detection model for substation infrared anomaly inspection, and the mAP50 on substation infrared inspection dataset, FLIRv2, VisDrone2019, and VOC dataset reaches 98.9%, 49.7%, 40.2%, and 79.4%, respectively, which proves the validity of the model design in this paper.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"145 ","pages":"Article 105714"},"PeriodicalIF":3.1,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The optical and electrical properties of V2O5-TiO2/PI Nanocomposite film prepared by the Sol-Gel method

IF 3.1 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-01-11 DOI: 10.1016/j.infrared.2025.105719

Haoting Zhang , Yi Li , Weiye He , Chang Xue , Weiye Peng , Hongwei Liu , Wei Wang , Zhangqing Shi , Wenyan Dai , Zhen Yuan , Ke Lin

In this study, nanoscale V₂O₅ film and V₂O₅-TiO₂ composite film were prepared by the sol–gel method and post-annealing process utilizing polyimide (PI) as the substrates. The properties of the composite films were characterized by examining the surface morphology, elemental composition, and optical and electrical properties. The results demonstrate that the films maintain the flexibility of the substrate, while TiO₂ doping effectively enhances the optical and electrical properties of the V₂O₅/PI. In the range of 750–1200 nm, the maximum transmittance of the V₂O₅-TiO₂/PI film is increased by 5.77 % compared to the V₂O₅/PI film. At room temperature, the resistance of the film was significantly reduced by 96.4 % compared to the V₂O₅/PI film. In the context of thermotropic phase transitions, the phase transition temperature of V₂O₅-TiO₂/PI film decreased to 213 ℃. Through many times repeated bending and temperature cycling, the films can maintain good optical and electrical properties, which is expected to be applied to flexible semiconductors and integrated optoelectronic devices.

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