Infrared Physics & Technology最新文献

{"title":"Retracted: “Infrared blind spectral deconvolution with low-rank sparse regularization for small object tracking” [Infrared Phys. Technol. 133 (2023) 104803]","authors":"Xionghua Liu , Kai-Lun Huang , Junjie Zhou , Tingting Liu , Pavel Trtik , Federica Marone","doi":"10.1016/j.infrared.2024.105519","DOIUrl":"10.1016/j.infrared.2024.105519","url":null,"abstract":"","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105519"},"PeriodicalIF":3.1,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526247","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":"Experimental investigation on the fracture process and infrared radiation characteristics of structure rockburst under gradient loading","authors":"Yuanhang Zhang ,&nbsp;Yuanyou Xia ,&nbsp;Jian Huang ,&nbsp;Wanquan Mei ,&nbsp;Manqing Lin ,&nbsp;Ruizhe Hua","doi":"10.1016/j.infrared.2024.105565","DOIUrl":"10.1016/j.infrared.2024.105565","url":null,"abstract":"<div><div>To investigate the macroscopic failure characteristics and infrared thermal imaging evolution of structure rockburst under gradient stress, gradient stress loading simulation tests were conducted using a true triaxial rockburst testing apparatus with combined gradient and hydraulic-pneumatic loading. Tests included three stress gradient coefficients and four structural surface angles. Macroscopic failure observations and infrared thermal imaging of the unloading surfaces were analyzed to understand the characteristics of structure rockburst and the influence of structural surfaces. Two infrared thermal imaging evolution parameters, the relative temperature mean (<em>HRT</em>) and the coefficient of variation (<em>COV</em>), were introduced to explore precursor indicators of structure rockburst. The results indicated that: (1) The dip angle of the structural surface (<em>θ</em>) and the stress gradient coefficient (<em>k</em>) both affect the peak stress during rockburst. (2) The structural surface angle significantly influences rockburst characteristics: <em>θ</em> = 30° or 60° results in shear slip-type rockbursts along or exposed on the structural surface, while <em>θ</em> = 0° or 90° manifests as buckling and tensile cracking-type rockbursts. (3) Infrared thermal imaging reveals that from initial loading to rockburst, temperature distribution transitions from uniform to normal, and then to non-normal. Accumulation of high-temperature points near rockburst indicates failure locations, with increased <em>k</em> intensifying non-normal distribution. (4) Peak values of <em>HRT</em> and <em>COV</em> positively correlate with <em>k</em>. (5) Fluctuations or sharp increases in <em>HRT</em> and <em>COV</em> values serve as precursors for predicting debris spalling and rockburst events.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105565"},"PeriodicalIF":3.1,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358914","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":"Maritime infrared image enhancement based on morphological pseudotransmittance modulation and radiation source enhancement","authors":"Jihong Pei ,&nbsp;Zhiying Yu ,&nbsp;Jianghao Wu ,&nbsp;Yang Zhao ,&nbsp;Xuan Yang","doi":"10.1016/j.infrared.2024.105564","DOIUrl":"10.1016/j.infrared.2024.105564","url":null,"abstract":"<div><div>To address the problems of low contrast and fuzzy details in maritime infrared images, this paper constructs a pseudotransmittance model based on the principles of infrared radiation imaging, and proposes an enhancement algorithm of morphology single-scale pseudotransmittance modulation and radiation source enhancement. First, the original image is adaptively segmented to generate the radiation source region and the radiation source suppressed background. Then, the pseudotransmittance is calculated by estimating the radiation of the background through morphological methods. Finally, the pseudotransmittance is used to modulate the original image for background enhancement and the radiation source detail is enhanced as well. On this basis, an algorithm for maritime infrared image enhancement with morphological multiscale pseudotransmittance modulation and radiation source hierarchical fusion is developed to overcome the problem of edge overenhancement and neighbourhood enhancement. Experiments show that our methods perform well in detail and contrast enhancement and outperform other methods in both qualitative and quantitative evaluations.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105564"},"PeriodicalIF":3.1,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323513","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":"High coupling efficiency with large axial direction coupling adjustment range in water-jet guided laser","authors":"Guanghui Zhang ,&nbsp;Yuxing Huang ,&nbsp;Ping Huang ,&nbsp;Haoran Ying ,&nbsp;Hui Jiao ,&nbsp;Jia Zhou ,&nbsp;Qingyuan Liu ,&nbsp;Tielin Shi ,&nbsp;Yuhong Long","doi":"10.1016/j.infrared.2024.105562","DOIUrl":"10.1016/j.infrared.2024.105562","url":null,"abstract":"<div><div>In the traditional water-jet guided laser (WJGL) processing system, convex lens is used to focus Gaussian laser beam, where the waist and divergence angle are constrained. The focal depth is small, and there are problems such as divergence angle and aberration, which results in the difficult coupling adjustment because the adjustment range of laser coupling to water-jet fiber is limited to the Rayleigh range. In this study, non-diffraction laser (NDL) is generated by an axicon, which has the characteristics of small central spot and large non-diffraction range (NDR). The axial random coupling is realized in the NDR, and the problem of axial coupling between the focused laser and the water-jet generated by nozzle micro-hole is solved. Besides, this paper presents a novel technique to generate NDL by the combination of concave axicon (CCA) and convex axicon (CVA), which solves the small cone angle of the single CVA and the non-modulation defect of the corresponding optical and mechanical structure, and extends the starting point of the NDR to improve the coupling utilization rate of the NDR and the flexibility of the system. The focusing and coupling transmission characteristics of convex lens and axicons mode in WJGL are compared and analyzed. The generated NDL in the NDR at the axial reference coordinate point position of 50 mm and 70 mm is successfully coupled into the water-jet fiber. After the coupling transmission of 20 mm, the coupling efficiency, the morphology of the transmitted spot and the peak power density were basically the same, and the coupling efficiency of the central spot was about 81 %. However, the output spot peak power density and coupling efficiency decrease sharply when the axial coupling deviation exceeds 5 mm adopting convex lens. In contrast, the NDL can achieve a random coupling with high axial coupling tolerance in NDR. The research provides a solution for efficient adjustment and transmission of laser coupling into water-jet in highly stable WJGL.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105562"},"PeriodicalIF":3.1,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142310575","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":"Faster R-CNN-CA and thermophysical properties of materials: An ancient marquetry inspection based on infrared and terahertz techniques","authors":"Guimin Jiang ,&nbsp;Pengfei Zhu ,&nbsp;Stefano Sfarra ,&nbsp;Gianfranco Gargiulo ,&nbsp;Rubén Usamentiaga ,&nbsp;Dimitrios Kouis ,&nbsp;Dazhi Yang ,&nbsp;Tingfei Jiang ,&nbsp;Yonggang Gai ,&nbsp;Xavier Maldague ,&nbsp;Hai Zhang","doi":"10.1016/j.infrared.2024.105563","DOIUrl":"10.1016/j.infrared.2024.105563","url":null,"abstract":"<div><div>The demand for non-invasive inspection (NII) is ever-increasing in the field of cultural heritage conservation. NII is a two-step procedure, first of data acquisition and second of defect detection. Stand-alone imaging techniques such as infrared thermography (IRT) are often insufficient for performing a complete remote analysis and diagnosis of historic structures and art pieces that are of very high cultural value. On this point, an emerging optical inspection method, terahertz time-domain spectroscopy (THz-TDS), is herein employed to provide more details of deeper defects. The imaging results from THz-TDS and IRT are compared and analyzed by employing advanced image processing methods. Next, to achieve automatic inspection of the test sample, which is an ancient marquetry, a Faster R-CNN with coordinate attention (Faster R-CNN-CA) is proposed and fitted with data from two different sources. Worth noting is that, in order to populate sufficient data for training, samples are simulated using finite element analysis and finite difference time domain method. The experiments demonstrate that the mean average precision of the Faster R-CNN-CA model improves by 6.09% over the traditional Faster R-CNN model.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105563"},"PeriodicalIF":3.1,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323512","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":"Comparative analysis of characteristic wavelength extraction methods for nondestructive detection of microplastics in wheat using FT-NIR spectroscopy","authors":"Jiaming Kan ,&nbsp;Jihong Deng ,&nbsp;Zhidong Ding ,&nbsp;Hui Jiang ,&nbsp;Quansheng Chen","doi":"10.1016/j.infrared.2024.105555","DOIUrl":"10.1016/j.infrared.2024.105555","url":null,"abstract":"<div><p>Microplastic detection has been acknowledged as challenging so far. Despite advancements in rapid detection methods for analyzing environmental microplastics, limited research has been conducted on detecting microplastics in food substrates. The objective of this study was to investigate the feasibility of utilizing Fourier near-infrared (FT-NIR) spectroscopy optimized characteristic model for quantitative detection of polystyrene (PS) microplastics in flour. A Fourier transform infrared spectrometer was employed to gather spectral information on flour with varying concentrations of PS. Four variable selection methods, namely iterative variable subset optimization (IVSO), bootstrapping soft shrinkage (BOSS), Interval variable iterative space shrinkage approach (IVISSA), and variable-dimensional particle swarm optimization movement window (VDPSO-CMW), were introduced to select features from the preprocessed near-infrared spectrum. Detection models based on partial least squares (PLS) were constructed with the aim of achieving quantitative detection of PS in flour, and comparisons were conducted to evaluate the detection performance of the four models. The VDPSO-CMW-PLS model demonstrates the highest level of generalization performance, according to the research findings. The coefficient of determination (<span><math><mrow><msubsup><mi>R</mi><mrow><mi>p</mi></mrow><mn>2</mn></msubsup></mrow></math></span>) is 0.9810, the root mean square error of prediction (RMSEP) is 0.0462%, and the relative percent deviation (RPD) is 7.3890. The research findings indicate that the constructed PLS detection model, utilizing FT-NIR spectral optimization characteristics, can rapidly and accurately detect PS in flour. This study presents a novel technical approach for the prompt quantitative identification of microplastics in food.</p></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105555"},"PeriodicalIF":3.1,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238827","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":"AFIRE: Adaptive FusionNet for illumination-robust feature extraction in heterogeneous imaging environments","authors":"Mingxin Yu ,&nbsp;Xufan Miao ,&nbsp;Yichen Sun ,&nbsp;Yuchen Bai ,&nbsp;Lianqing Zhu","doi":"10.1016/j.infrared.2024.105557","DOIUrl":"10.1016/j.infrared.2024.105557","url":null,"abstract":"<div><p>The fusion of infrared and visible images aims to synthesize a fused image that incorporates richer information by leveraging the distinct characteristics of each modality. However, the disparate quality of input images in terms of infrared and visible light significantly impacts fusion performance. To address this issue, we propose a novel deep adaptive fusion method called Adaptive FusionNet for Illumination-Robust Feature Extraction (AFIRE). This method involves the interactive processing of two input features and dynamically adjusts the fusion weights based on varying illumination conditions. Specifically, we introduce a novel interactive extraction structure during the feature extraction stage for both infrared and visible light, enabling the capture of more complementary information. Additionally, we design a Deep Adaptive Fusion module to assess the quality of input features and perform weighted fusion through a channel attention mechanism. Finally, a new loss function is formulated by incorporating the entropy and median of input images to guide the training of the fusion network. Extensive experiments demonstrate that AFIRE outperforms state-of-the-art methods in preserving pixel intensity distribution and texture details. Source code is available at: <span><span>https://www.github.com/ISCLab-Bistu/AFIRE</span><svg><path></path></svg></span>.</p></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105557"},"PeriodicalIF":3.1,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272192","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 approach for built-up area extraction using different indices and deep neural network (DNN) model","authors":"Waseem Ahmad Ismaeel,&nbsp;J Satish Kumar","doi":"10.1016/j.infrared.2024.105558","DOIUrl":"10.1016/j.infrared.2024.105558","url":null,"abstract":"<div><p>Mapping urbanization and built-up areas from remotely sensed data poses a formidable challenge, particularly when the spectral reflectance of built-up regions intersects with other land types. To address this, numerous spectral indices have been developed. This paper utilizes multiple indices: Normalized Difference Built-up Index (NDBI), Built-up Area Extraction Index (BAEI), Normalized Built-up Area Index (NBAI), New Built-up Index (NBI), Modified Built-up Index (MBI), Band Ratio for Built-up Area (BRBA), and Normalized Difference Vegetation Index (NDVI) to delineate built-up regions. An intersection approach between BAEI, NBAI, and NDVI refines the methodology, resulting in a final built-up map with 92.5 % accuracy and a 0.848 Kappa coefficient. Subsequently, a Deep Neural Network (DNN) model trained on this map achieves over 95 % accuracy in predicting built-up areas from Landsat 5 imagery, and the resultant built-up map achieved an overall accuracy of 92 % and a Kappa coefficient of 0.85. The proposed methodology demonstrates efficiency for time-series analysis and addresses misclassification in built-up areas. Moreover, the optimization of the DNN model proves effective when meticulous training and validation processes incorporate more precise sample datasets.</p></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105558"},"PeriodicalIF":3.1,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239477","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":"High transmission efficiency long-wave infrared multispectral modulation array based on nanogap engineering","authors":"Ke Deng ,&nbsp;Yunlong Xiao ,&nbsp;Dezheng Guo ,&nbsp;Ting He ,&nbsp;Jiacheng Wang ,&nbsp;Yihang Zhou ,&nbsp;Qing Li ,&nbsp;Ning Li ,&nbsp;Peng Wang","doi":"10.1016/j.infrared.2024.105559","DOIUrl":"10.1016/j.infrared.2024.105559","url":null,"abstract":"<div><p>The long-wave infrared spectrum’s unique advantages in molecular fingerprinting and atmospheric transmission have led to its widespread application in detection, identification, medical diagnosis, and environmental monitoring. Consequently, there has been a strong focus on developing multispectral structure arrays with high transmission efficiency. In this study, we introduce a high-transmission-efficiency nanocoaxes field enhancement structures array based on complex nanogap engineering, exhibiting a transmission of 21.59 % within an open area of 3 % and accompanied by a 90-fold enhancement of the nanogap field. With the modulation of nanogaps, the absolute transmission can exceed 60 %. The experimental data and finite element simulation results of the spectrally tunable array confirm that the origin of resonance is attributed to the enhanced localized electromagnetic modes supported by nanogaps. Furthermore, we demonstrated the proposed nanocoaxes field-enhancement structures in practical applications such as molecular resonance absorption enhancement and material composition analysis. Our work not only provides a method for on-chip multispectral tuning in the long-wave infrared range but also contributes to further advancing the development of long-wave infrared nanophotonic structures.</p></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105559"},"PeriodicalIF":3.1,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239476","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":"Simultaneous measurement of temperature and C2H4 concentration in hydrocarbon flames using interference-immune differential absorption spectroscopy at 3.3 μm","authors":"Wenjian Huang,&nbsp;Guangzhen Gao,&nbsp;Mingke Zhang,&nbsp;Shujing Ruan,&nbsp;Tingdong Cai","doi":"10.1016/j.infrared.2024.105556","DOIUrl":"10.1016/j.infrared.2024.105556","url":null,"abstract":"<div><p>In diagnostic applications based on tunable diode laser absorption spectroscopy, the measurement of target substances can be influenced by factors such as background thermal radiation in the combustion environment, extinction caused by solid or liquid particles, and other interfering absorptions. In this work, we developed a differential absorption diagnostic technique based on wavelength pairs, utilizing an interband cascade laser near 3.3 μm to simultaneously measure temperature and C₂H₄ concentration in hydrocarbon flames. Based on a detailed study of the C₂H₄ spectrum in this region and considering the optimal standard for spectral lines, two wavelength pairs were selected. The temperature is determined by the ratio of the absorption cross-sections of two wavelength pairs, and the C₂H₄ concentration is inferred based on the wavelength pair with higher differential absorption. In the initial stage, the system’s accuracy was verified in high-temperature static conditions (<em>T</em> = 300–800 K, <em>P</em> = 1 atm), and continuous time series measurements demonstrated the system’s stability. The limit of detection achieved by Allan-Werle variance analysis is 2.5 ppm at the optimal average time of 100 s. Subsequently, measurements were taken in a hydrocarbon flame. The obtained results indicate an average deviation of 1.021 % between the measured temperature in the flame and the reference value, with a standard deviation of 1.381 % for concentration measurement. All the measurements show that the system can be potentially applied to combustion diagnosis.</p></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105556"},"PeriodicalIF":3.1,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238823","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}