Infrared Physics & Technology最新文献

{"title":"Influence of GeO2/TeO2 ratio on thermal, structure and spectroscopic properties of Dy3+-doped tellurite-germanate glass","authors":"Jiapeng Li,&nbsp;Xue Wang","doi":"10.1016/j.infrared.2024.105642","DOIUrl":"10.1016/j.infrared.2024.105642","url":null,"abstract":"<div><div>Dy₂O₃-doped tellurite-germanate glasses with an increase of GeO₂/TeO₂ ratio (TGZ) were synthesized and characterized through X-ray diffraction (XRD), differential scanning calorimetry (DSC), Raman, absorption, and emission spectra measurements. XRD spectra of Dy³⁺-doped TGZ glass confirmed the amorphous structure. The TGZ glass possess the higher anti-crystallization abilities than that of the pure tellurite glass. Raman spectroscopy showed that the amount of [TeO₃] and [TeO₃₊₁] units in the glass network were gradually decreased by increasing the ratio of GeO₂ to TeO₂. The result was further supported by the optical band gap energy of the TGZ glass. The luminescence intensity of the sample increased with an increase in GeO₂ content and reached a maximum value at 10 mol%. The chromaticity coordinates of CIE 1931 were in the warm white light range, and the corresponding color temperature range was 3400 K–3600 K. The results showed that the addition of GeO₂ to Dy³⁺-doped tellurite glass can improve the thermal stability and luminescence performance of the white light-emitting band.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"144 ","pages":"Article 105642"},"PeriodicalIF":3.1,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748498","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}

{"title":"2.6 GW, mJ-class high-energy femtosecond laser system based on Yb:YAG single-crystal fiber amplifier","authors":"Xue Cao ,&nbsp;Feng Li ,&nbsp;Yishan Wang ,&nbsp;Hualong Zhao ,&nbsp;Wei Zhao ,&nbsp;Qianglong Li ,&nbsp;Jixin Xing ,&nbsp;Wenlong Wen ,&nbsp;Jinhai Si","doi":"10.1016/j.infrared.2024.105643","DOIUrl":"10.1016/j.infrared.2024.105643","url":null,"abstract":"<div><div>High-peak-intensity ultrafast fiber lasers show excellent prospect for ultrafast science and industrial applications. For simplicity as well as efficiency, chirped-pulse amplification (CPA) is an effective technique for the generation of high-energy sources and single crystal fiber (SCF) also shows great potential due to its convenient configuration. In this work, a high-peak-power hybrid CPA pulsed laser system based on a three-stage single-pass end-pumped Yb:YAG SCF amplifier is experimentally demonstrated. The amplification system emitted pulses with the maximum power of 103.2 W at 100 kHz repetition rate and we obtained the compressed output power of 84.2 W, corresponding to the pulse energy of 0.84 mJ. Considering the third order dispersion that induced by the stretcher and the accurate tuning effect for higher-order dispersion compensation of chirped fiber Bragg grating, we have demonstrated a nearly transform limited output pulse duration of 323 fs with the peak power exceeding 2.6 GW. It can be said that we present the results for the first implementation of the shortest pulse duration and highest peak power in such multi-stage Yb:YAG SCF amplifier. The well-preserved beam quality with the measured <em>M²</em> value of 1.22 and 1.29 for the horizontal and vertical directions at the maximum achieved average power. With such outstanding combined features, the demonstrated high-energy ultrafast fiber lasers would enable broad applications.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"144 ","pages":"Article 105643"},"PeriodicalIF":3.1,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748452","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}

{"title":"Multipulse bunches in the Yb-doped mode-locked fiber laser based on NLMMI-NPR hybrid mode locked mechanism","authors":"Jinpeng Duan ,&nbsp;Qixing Yu ,&nbsp;Yaoyao Qi ,&nbsp;Sumei Jia ,&nbsp;Zhenxu Bai ,&nbsp;Yulei Wang ,&nbsp;Zhiwei Lu","doi":"10.1016/j.infrared.2024.105646","DOIUrl":"10.1016/j.infrared.2024.105646","url":null,"abstract":"<div><div>In this study, we propose a novel Ytterbium-doped ultrafast fiber laser based on nonlinear multimode interference-nonlinear polarization rotation (NLMMI-NPR) hybrid mode-locked mechanism. Stable single-pulse mode-locked state is achieved in the linear cavity, with a repetition rate of 12.8 MHz. By adjusting the polarization state and pump power inside the cavity, various characteristic modes are obtained, including multipulse bunches, second- and third-harmonic mode-locked states, second- and third-harmonic multipulse bunches states, and a chaotic multipulse state. This is the first exploration of multipulse bunches in Ytterbium-doped ultrafast fiber lasers based on the NLMMI-NPR hybrid mode-locked mechanism. And multipulse mode-locked fiber lasers have unique advantages in numerous fields owing to their higher energy and wider pulse width.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"144 ","pages":"Article 105646"},"PeriodicalIF":3.1,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748497","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}

{"title":"Blind infrared spectral deconvolution with discrete Radon transform regularization for biomedical applications","authors":"Hai Liu ,&nbsp;Tingting Liu,&nbsp;Li Liu ,&nbsp;Qing An,&nbsp;Chengyue Bai,&nbsp;Huiyou Li","doi":"10.1016/j.infrared.2024.105640","DOIUrl":"10.1016/j.infrared.2024.105640","url":null,"abstract":"<div><div>Infrared spectrum often suffers from the resolution reduction and random noise. This paper proposes a novel blind infrared spectral reconstruction model that integrates total variation constraint and frequency domain transformation. This model aims to achieve an accurate deconvolution model of infrared spectra by making the coefficient distribution of discrete Radon transform (DRT) of overlapping infrared spectra close to high-resolution infrared spectra. Secondly, we use total variation (TV) as a popular effective spectral prior model, which has been applied in regularization based blind deconvolution of infrared spectra because it can preserve small peaks. In this study, the model fully utilizes spatial information from different image regions and proposes an extended split Bregman iteration method to solve the joint minimization problem. Specifically, the DRT coefficient distribution of overlapping infrared spectra should be close to high-resolution infrared spectra. We believe that there are differences between the DRT coefficient distribution of clean spectra and the distribution of degraded infrared spectra. Extensive experimental results have shown that the proposed method outperforms most existing methods in terms of spectral structure quality and quantitative measurement. The high-resolution infrared spectra after deconvolution can be used for biomedical imaging and clinical applications.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"144 ","pages":"Article 105640"},"PeriodicalIF":3.1,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748496","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}

{"title":"Analysis of carbon sink efficiency of trees based on gas photoacoustic spectroscopy detection","authors":"Xinxin Wang ,&nbsp;Zhiying Wu ,&nbsp;Ke Chen ,&nbsp;Hongyu Chen ,&nbsp;Shuntong Chen","doi":"10.1016/j.infrared.2024.105630","DOIUrl":"10.1016/j.infrared.2024.105630","url":null,"abstract":"<div><div>Carbon sinks are natural or man-made systems that absorb and store carbon dioxide (CO₂) or other greenhouse gases, thereby helping to reduce greenhouse gas concentrations in the atmosphere, and they play an irreplaceable role in the restoration of the ecological environment. Among the current methods for analyzing the carbon sink efficiency of trees, the accuracy and reliability of remote sensing technology are not high. The carbon isotope method cannot guarantee real-time performance, which also greatly affects the development of the carbon trading industry. A gas absorption to laser pulses can excite an acoustic waves, and the gas content can be measured by detecting the size of the wave, which is called photoacoustic(PA) detection technology. In this work, several trees were used as the research object, and an all-optical multi-component PA spectrometer was used to detect the concentration of feature gases in the air nearby the trees. The volume content of C₂H₂, CO₂ and CH₄ respectively is detected out, and the volume content of the three gases varies with the trees. Based on the idea of carbon source and generalized carbon source, the three gases can be used to estimate trees’ capacity for sinking carbon sources or mediating ability to carbon source emissions.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"144 ","pages":"Article 105630"},"PeriodicalIF":3.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721820","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}

{"title":"An LWIR QWIP FPA with sub-5mK NETD and large dynamic range","authors":"Hangyu Lu ,&nbsp;Ning Li ,&nbsp;Xiaohao Zhou ,&nbsp;Zhifeng Li ,&nbsp;Pingping Chen ,&nbsp;Jintong Xu ,&nbsp;Xiangyang Li ,&nbsp;Wei Lu","doi":"10.1016/j.infrared.2024.105629","DOIUrl":"10.1016/j.infrared.2024.105629","url":null,"abstract":"<div><div>QWIP based on the GaAs/AlGaAs material system are commonly used to achieve LWIR FPA. This detector is constrained by the integration charge capacity of conventional integral-readout-reset mode CMOS readout integrated circuits. As a result, the technical specification for the temperature resolution of the infrared detectors, known as NETD, typically ranges from 20 mK to 30 mK. In this paper, we present a 320 × 256 LWIR QWIP FPA, which is formed by bonding quantum well detectors and a pixel-level DROIC. Notably, the NETD achieved by this detector is superior to 5 mK, with the DR exceeding 100 dB, and it operates effectively within a temperature range of 40 K to 80 K, demonstrating excellent adaptability to varying environmental temperatures.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"144 ","pages":"Article 105629"},"PeriodicalIF":3.1,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748499","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}

{"title":"Nighttime visible and infrared image fusion based on adversarial learning","authors":"Qiwen Shi,&nbsp;Zhizhong Xi,&nbsp;Huibin Li","doi":"10.1016/j.infrared.2024.105618","DOIUrl":"10.1016/j.infrared.2024.105618","url":null,"abstract":"<div><div>The task of infrared–visible image fusion (IVIF) aims to integrate multi-modal complementary information and facilitate other downstream tasks, especially under some harsh circumstances. To tackle the challenges of preserving significant information and enhancing visual effects under nighttime conditions, we propose a novel IVIF method based on adversarial learning, namely AdvFusion. It consists of an autoencoder-based generator and a dual discriminator. In particular, the multi-scale features of source images are firstly extracted by ResNet, and then aggregated based on the attention mechanisms and nest connection strategy to generate the fused images. Meanwhile, a global and local dual discriminator structure is designed to minimize the distance between the illumination distributions of the reference images and fused images, which achieves contrast enhancement within fused images and helps to uncover hidden cues in darkness. Moreover, a color loss is utilized to maintain color balance of each fused image, while the widely used perceptual loss and gradient loss are employed to maintain content consistency between the source and fused images. Extensive experiments conducted on five datasets demonstrate that our AdvFusion can achieve promising results compared with the state-of-the-art IVIF methods in terms of both visual effects and quantitative metrics. Furthermore, AdvFusion can also boost the performance of semantic segmentation on MSRS dataset and object detection on M3FD dataset.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"144 ","pages":"Article 105618"},"PeriodicalIF":3.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698236","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}

{"title":"YOFIR: High precise infrared object detection algorithm based on YOLO and FasterNet","authors":"Mi Wen ,&nbsp;ChenYang Li ,&nbsp;YunSheng Xue ,&nbsp;Man Xu ,&nbsp;ZengHui Xi ,&nbsp;WeiDong Qiu","doi":"10.1016/j.infrared.2024.105627","DOIUrl":"10.1016/j.infrared.2024.105627","url":null,"abstract":"<div><div>Infrared images often suffer from issues such as blurriness and unclear object boundaries, and existing object detection algorithms are developed based on visible light images, which makes infrared object detection more challenging. Therefore, this paper proposes an infrared image enhancement method and an infrared object detection algorithm based on YOLO and FasterNet, named YOFIR. Specifically, we apply CHALE, Auto Gamma, histogram equalization, and bilateral filtering to process images individually, then fuse the results with different weights to address the poor imaging quality of infrared images. Moreover, we utilize the FasterNet network for multi-scale feature extraction to adapt to low-resolution infrared images. We also reduce model parameters through GSConv and propose a novel Efficient Multi-Scale Group Convolution module, EMSGC, which enhances feature fusion by processing feature maps from different channels, effectively improving detection accuracy. Finally, the DyHead Block is incorporated into the head to enhance the capability of infrared object detection. Experimental results on the HIT-UAV infrared remote sensing dataset show that the proposed algorithm achieves a 4% improvement in <span><math><mrow><mi>m</mi><mi>A</mi><msub><mrow><mi>P</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>5</mn></mrow></msub></mrow></math></span> compared to YOLOv8. Moreover, on the FLIR dataset, the algorithm shows a 1.6% improvement in <span><math><mrow><mi>m</mi><mi>A</mi><msub><mrow><mi>P</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>95</mn></mrow></msub></mrow></math></span> over YOLOv8, with significant advantages in terms of model parameters and FLOPs.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"144 ","pages":"Article 105627"},"PeriodicalIF":3.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698237","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}

{"title":"Evaluation for tensile failure process of NOL rings based on infrared thermography","authors":"Guangjie Kou ,&nbsp;Zhengwei Yang ,&nbsp;Kuncheng He ,&nbsp;Wei Zhang ,&nbsp;Saisai Zhang ,&nbsp;Mengqing Liu ,&nbsp;Yan Zhang","doi":"10.1016/j.infrared.2024.105628","DOIUrl":"10.1016/j.infrared.2024.105628","url":null,"abstract":"<div><div>This paper presents a new method for evaluating the failure and processing technology of fiber-winding composites based on infrared thermography. Firstly, infrared thermography was used to monitor the surface temperature evolution during the loading of Naval Ordnance Laboratory (NOL) rings. Secondly, the mechanical and temperature data were recorded simultaneously until the failure of the NOL rings occurred. Thirdly, the mechanical results were compared with the monitoring results obtained from infrared thermography concerning the failure of the NOL rings. Lastly, an evaluation was conducted regarding the capability of infrared thermography to elucidate the failure of the NOL rings. The experiment results demonstrated that infrared thermography can characterize the failure process and failure modes of fiber-winding composites with limited mechanical or optical technology. Besides, this testing technology provides a significant advantage when comparing fiber volume fractions, particularly in situations where professional testing devices are unavailable. This work provides a new reference for the application of infrared thermography within the domain of fiber-winding composites.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"144 ","pages":"Article 105628"},"PeriodicalIF":3.1,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698234","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}

{"title":"UIRGBfuse: Revisiting infrared and visible image fusion from the unified fusion of infrared channel with R, G, and B channels","authors":"Shi Yi ,&nbsp;Si Guo ,&nbsp;Mengting Chen ,&nbsp;Jiashuai Wang ,&nbsp;Yong Jia","doi":"10.1016/j.infrared.2024.105626","DOIUrl":"10.1016/j.infrared.2024.105626","url":null,"abstract":"<div><div>Infrared and visible image fusion aims to obtain fused images with complementary information from infrared and visible modalities. The visible image captured by the visible spectrum camera consists of R, G, and B channels, exhibiting color information. However, existing fusion frameworks for infrared and visible images typically treat the fusion task as the fusion of infrared images with single-channel grayscale visible images. This approach neglects the fact that different gradient distributions between R, G, and B channels of RGB visible images, which can result in unnatural fusion effects, distortion, poor preservation of details from source images, and degradation of color fidelity. To achieve superior fusion performance in infrared and RGB visible image fusion, a unified fusion framework called UIRGBfuse is proposed in this study. It fused the infrared image with the R, G, and B channels through a unified fusion approach, along with an IR-RGB joint fusion learning strategy that has been designed to ensure natural and outstanding fusion results. The UIRGBfuse consists of separate branches for feature extraction and feature fusion, creating a cohesive architecture for fusing the infrared channel with the R, G, and B channels. Additionally, the training process is guided by R, G, and B fusion losses as part of the devised IR-RGB joint fusion learning strategy. In addition, this study implements the frequency domain compensate feature fusion module to achieve desirable feature fusion performance by the compensate features obtained from the frequency domain. Furthermore, the hybrid CNN-Transformer deep feature refinement module is realized in this study to refine the deep fused features obtained from the fusion branches, thereby further enhancing the fusion performance of UIRGBfuse. Moreover, to address color fidelity distortion observed in infrared and RGB visible image fusion, an adaptive cross-feature fusion reconstructor with the capability of adaptively fusing multi-branch fusion features is constructed in this work. Ablation studies have been conducted on publicly available datasets to validate the effectiveness of the proposed unified fusion architecture, IR-RGB joint fusion learning strategy, feature fusion and refinement modules, and reconstructor. The superiority of the proposed UIRGBfuse over other representative state-of-the-art infrared and visible image fusion methods in terms of natural fusion, retention of source image details, and color fidelity has been demonstrated through comparison and generalization experiments. Finally, object detection experiments have shown that the fused images obtained by UIRGBfuse are capable of successfully detecting more targets than other competitors.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"143 ","pages":"Article 105626"},"PeriodicalIF":3.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706099","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}