Infrared Physics & Technology最新文献_第9页

Development of a rapid detection method for maize seed purity using a modular high-throughput near-infrared non-destructive testing system 基于模块化高通量近红外无损检测系统的玉米种子纯度快速检测方法研究

IF 3.1 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2025-04-03 DOI: 10.1016/j.infrared.2025.105836

Zheli Wang , Yaoyao Fan , Xi Tian , Yuan Long , Wenqian Huang , Liping Chen

{"title":"Development of a rapid detection method for maize seed purity using a modular high-throughput near-infrared non-destructive testing system","authors":"Zheli Wang , Yaoyao Fan , Xi Tian , Yuan Long , Wenqian Huang , Liping Chen","doi":"10.1016/j.infrared.2025.105836","DOIUrl":"10.1016/j.infrared.2025.105836","url":null,"abstract":"<div><div>The identification of maize seed varieties is crucial for ensuring high agricultural production quality, enhancing food security, regulating the seed market, advancing technological development, and supporting environmental sustainability. This study applied a high-throughput near-infrared detection system to identify various maize seed varieties. Using spectral data, different preprocessing methods and classification models were explored to construct a classification model for mixed-coated maize seeds (nine classifications). Results indicated that full-spectrum technology effectively distinguishes between mixed-coated varieties. Optimization with CARS and SPA algorithms identified the optimal model, SG-CARS-SPA-LR, which used 60 feature bands to achieve classification accuracies of 0.87 and 0.86 for calibration and test sets, respectively. Additionally, a three-class model for single-coated seeds was developed, enhancing the classifier’s generalization ability through feature selection and model optimization. Findings demonstrate that full-spectrum technology performs best for identifying varieties with the same coating type, especially uncoated seeds. The SG-CARS-SPA-LR model achieved exceptional classification accuracy (0.99) for both calibration and test sets using only 15 feature bands, underscoring this method’s efficiency and suitability for high-throughput seed analysis applications.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"148 ","pages":"Article 105836"},"PeriodicalIF":3.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807459","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

Structure design and electroplating fabrication of cost-effective externally copper-coated polypropylene dielectric hollow waveguide for low-loss, flexible and robust delivery of terahertz waves 低损耗、柔性和鲁棒太赫兹波传输的高性价比外镀铜聚丙烯介电中空波导的结构设计和电镀制造

IF 3.1 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2025-04-02 DOI: 10.1016/j.infrared.2025.105841

Guangning Hou, Sheng Liu, Zhipeng Zha, Shuoying Yu, Qingtian Zhang, Jiayu Wang, Zhan Su, Shaoqiang Chen, Shaohua Liu, Chengbin Jing, Junhao Chu

{"title":"Structure design and electroplating fabrication of cost-effective externally copper-coated polypropylene dielectric hollow waveguide for low-loss, flexible and robust delivery of terahertz waves","authors":"Guangning Hou, Sheng Liu, Zhipeng Zha, Shuoying Yu, Qingtian Zhang, Jiayu Wang, Zhan Su, Shaoqiang Chen, Shaohua Liu, Chengbin Jing, Junhao Chu","doi":"10.1016/j.infrared.2025.105841","DOIUrl":"10.1016/j.infrared.2025.105841","url":null,"abstract":"<div><div>There is an urgent demand for low-loss, flexible, robust, and cost-effective waveguides to support terahertz (THz) 6G wired communications, sensing, and imaging applications. An external copper (Cu)-coated polypropylene (PP) THz hollow waveguide (HWG) structure was proposed based on theoretical analysis of the finite element method. Low theoretical transmission losses at 0.1 and 0.3 THz were achieved by optimizing the waveguide structural parameters, including inner diameter and wall thickness, etc. An electroplating apparatus was built up to prepare the dense and smooth Cu reflective layer on the outside of the PP tubes. The transmission losses of the Cu/PP HWG sample at 0.1 THz and 0.3 THz were 1.83 dB/m and 1.18 dB/m, respectively. The waveguide sample exhibited robust transmission behaviors (output power fluctuation below 3.7 %) in −78.5/65 °C environments and after 10 cycles of anti-vibration test (10–500 Hz). This study provided a different insight into developing low-loss, flexible, durable, and low-cost metal/dielectric THz HWG, which would be valuable for establishing reliable THz wave transmission systems in practical engineering applications.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"147 ","pages":"Article 105841"},"PeriodicalIF":3.1,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776608","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 thermography examination of post-traumatic conditions of the hand nerves in paediatric patients compared to EMG examination 红外热成像检查与肌电图检查比较儿科患者创伤后手神经状况

IF 3.1 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2025-04-02 DOI: 10.1016/j.infrared.2025.105838

J. Pokorná , Z. Bálintová , V. Bernard , E. Staffa

{"title":"Infrared thermography examination of post-traumatic conditions of the hand nerves in paediatric patients compared to EMG examination","authors":"J. Pokorná , Z. Bálintová , V. Bernard , E. Staffa","doi":"10.1016/j.infrared.2025.105838","DOIUrl":"10.1016/j.infrared.2025.105838","url":null,"abstract":"<div><div>Infrared thermography is a frequently employed technique for temperature screening in a variety of fields, yet it has the potential to be widely used in various medical examinations too. This article outlines the advantages of using infrared thermography in paediatric neurology to detect nerve pathology in the hand and compares its measurement results with the traditional neurological examination technique, electromyography.</div><div>In order to achieve more accurate detection of the region of interest, original algorithm for the thermal evaluation of thermographic images was developed for the purposes of this study facilitating segmentation procedures according to the anatomical structure of the nerves of the hand. It is further noted that, with minor modification, this approach could be utilised in the future for similar evaluations of thermographic images in another application.</div><div>The present study examined the surface skin temperature of 19 children’s hands using infrared thermography. The temperature findings were then used to determine whether a child’s hand had suffered nerve damage resulting from various types of injury. The statistically verified results using Student’s <em>t</em>-test indicate that nerve damage does affect hand skin temperature and may therefore be detected using an infrared camera. This suggests that infrared thermography may be useful in assisting with the primary diagnosis of nerve damage in children with hand injuries.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"147 ","pages":"Article 105838"},"PeriodicalIF":3.1,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776607","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

Terahertz spectroscopy distinguishes isomeric amino acids and oligopeptides in solution 太赫兹光谱在溶液中区分异构体氨基酸和寡肽

IF 3.1 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2025-04-02 DOI: 10.1016/j.infrared.2025.105839

Junying Shi , Zhongdong Liu , Yuansen Guo , Zhongbo Yang , Ying Fu , Pan Wang , Mingjie Tang , Yan Jiang , Huabin Wang , Mingkun Zhang

{"title":"Terahertz spectroscopy distinguishes isomeric amino acids and oligopeptides in solution","authors":"Junying Shi , Zhongdong Liu , Yuansen Guo , Zhongbo Yang , Ying Fu , Pan Wang , Mingjie Tang , Yan Jiang , Huabin Wang , Mingkun Zhang","doi":"10.1016/j.infrared.2025.105839","DOIUrl":"10.1016/j.infrared.2025.105839","url":null,"abstract":"<div><div>Terahertz (THz) spectroscopy holds significant promise for biomolecular detection. While isomers in solid-state crystal forms have been successfully identified based on their distinct absorption features, distinguishing solution-phase isomers using THz spectroscopy remains challenging. In this study, a THz attenuated total reflection-microfluidic system was employed to characterize the THz absorption spectra of leucine, isoleucine, and their oligopeptides in solution. A linear correlation between low-frequency THz absorption and solute concentration enabled the differentiation of isomers by calculating the ratio of the relative absorption coefficient to solute concentration. Principal component analysis and clustering revealed clear separability between dipeptides and tripeptides. Molecular dynamics simulations further demonstrated that structural differences between isomers influence solvent-accessible surface areas and hydration shell volumes, explaining the observed spectral variations. This method offers a promising approach for detecting analogous biomolecules in solution.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"147 ","pages":"Article 105839"},"PeriodicalIF":3.1,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792062","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

Edge Feature Enhanced Transformer Network for RGB and infrared image fusion based object detection 边缘特征增强变换器网络用于基于 RGB 和红外图像融合的物体检测

IF 3.1 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2025-04-01 DOI: 10.1016/j.infrared.2025.105824

Genping Zhao , JiaSheng Zhu , Quan Jiang , Silu Feng , Zhuowei Wang

{"title":"Edge Feature Enhanced Transformer Network for RGB and infrared image fusion based object detection","authors":"Genping Zhao , JiaSheng Zhu , Quan Jiang , Silu Feng , Zhuowei Wang","doi":"10.1016/j.infrared.2025.105824","DOIUrl":"10.1016/j.infrared.2025.105824","url":null,"abstract":"<div><div>Compared to RGB imaging, synchronous RGB and infrared (IR) imaging enables to offer more comprehensive information to improve object detection performance in diverse settings. However, current associated fusion approaches have limitation in local edge detail learning, resulting in challenges like missed detection of edge small, and occluded objects in the fused images. To fully utilize information from different modalities, an efficient Edge Feature Enhanced Transformer Network (EFETN) is developed in this study for target detection. The proposed network is designed as a dual-stream backbone transformer-based framework. Edge feature enhancement is addressed in this dual-stream network structure by embedding two proposed modules. One is constructed for feature extraction from each individual modality image through simultaneous context information and low-frequency filtering enhancement. The other utilizes the self-attention mechanism of the Transformer to merge features from various modalities in a residual form and mutually enhance each other to improve object detection performance. Comprehensive experiments and ablation studies conducted on multiple public datasets validate the efficacy of the proposed approach, showcasing state-of-the-art detection performance.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"147 ","pages":"Article 105824"},"PeriodicalIF":3.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759111","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

FSCNet: Feature synthesis with wavelet coefficients for infrared small target detection FSCNet：利用小波系数进行特征合成，用于红外小目标探测

IF 3.1 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2025-04-01 DOI: 10.1016/j.infrared.2025.105825

Haonan Li , Xiaoming Peng , Jianlin Zhang

{"title":"FSCNet: Feature synthesis with wavelet coefficients for infrared small target detection","authors":"Haonan Li , Xiaoming Peng , Jianlin Zhang","doi":"10.1016/j.infrared.2025.105825","DOIUrl":"10.1016/j.infrared.2025.105825","url":null,"abstract":"<div><div>Infrared small target detection (IRSTD) has critical applications in fields such as infrared early warning and guidance. Recent studies have shown that data-driven deep learning methods achieve better performance than traditional model-driven approaches. Due to their small size, infrared small targets generally lack semantic details. However, most existing deep learning methods for IRSTD cannot preserve the small targets information due to the max-pooling downsampling operations they use to construct deep semantic feature maps in their target detection networks. In this paper, we propose FSCNet, an innovative deep learning framework specifically crafted for infrared small target detection. The network addresses the critical challenge of information loss prevalent in traditional deep learning models during the down-sampling process. Specifically, FSCNet introduces a wavelet coefficient-based feature extraction mechanism to effectively distinguish small targets from the background. By integrating the proposed frequency attention gate module (FAGM), the network is capable of enhancing high-frequency details that are typically obscured, ensuring that target features are retained even in deeper layers of the network. Additionally, we come up with the group spatial-channel Transformer block (G-SCTB), which facilitates the interaction and enhancement of multi-scale features, leading to a robust representation of small targets. Experimental results on three benchmarks NUAA-SIRST, NUDT-SIRST and IRSTD-1K demonstrate the effectiveness of the proposed FSCNet, which is competitive to the state-of-the-art infrared small target detection methods.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"147 ","pages":"Article 105825"},"PeriodicalIF":3.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759112","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

Assessment of land degradation in different land uses by modeling soil salinity and soil erodibility coupled Vis-NIR spectroscopy and machine learning model 通过可见光-近红外光谱和机器学习模型对土壤盐度和土壤侵蚀度进行建模，评估不同土地用途的土地退化情况

IF 3.1 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2025-03-31 DOI: 10.1016/j.infrared.2025.105835

Danning Zhang , Xiaoyun Su , Zengli Cui

{"title":"Assessment of land degradation in different land uses by modeling soil salinity and soil erodibility coupled Vis-NIR spectroscopy and machine learning model","authors":"Danning Zhang , Xiaoyun Su , Zengli Cui","doi":"10.1016/j.infrared.2025.105835","DOIUrl":"10.1016/j.infrared.2025.105835","url":null,"abstract":"<div><div>Accurate forecasting of soil salinity (ECe) and erodibility (K-factor) is of importance for food security and effective management for environmental issues. It is important to address land degradation. Hence, this study aims to employ visible and near-infrared (Vis-NIR) to precisely predict soil salinity and erodibility at different types of land use such as rangelands, bare lands, and farmlands, where land degradation is a significant issue. In this way, the multiple regression (MR) and random forest (RF) modelling techniques were used. 150 sampling points were selected to represent the diversity in land uses for soil analysis. At each point, the ECe and the K-factor from the RUSLE model were measured. A portable spectrometer captured spectral reflectance was employed to measure reflectance in the 400 to 2400 nm wavelength range. In this study, spectral reflectance data at each wavelength and combinations of different wavelength reflectance data were used as input variables. The results showed that the RF model, which incorporated combined factors as input variables, surpassed other models in predicting both ECe (RMSE = 4.85 and R<sup>2</sup> = 0.87) and K-factor (RMSE = 0.014 and R<sup>2</sup> = 0.60). Additionally, the analysis highlighted improved model performance across different land use types, particularly in farmlands and rangelands. Furthermore, the RF model proved more effective than the MR model in estimating soil erodibility at all land use types. This integrated approach showed the power of integrating Vis-NIR data and machine learning techniques to assess land degradation parameters. These results support the implementation of targeted agricultural practices by policymakers to address these challenges.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"148 ","pages":"Article 105835"},"PeriodicalIF":3.1,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143826132","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

Frequency-division multiplexing intensity-modulated laser heterodyne radiometer for simultaneous measurements of atmospheric CO2 and CH4 columns 频分复用强度调制激光外差辐射计，用于同时测量大气CO2和CH4柱

IF 3.1 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2025-03-30 DOI: 10.1016/j.infrared.2025.105830

Renshi Li , Hao Deng , Ruopeng Fang , Zhenyu Xu , Ruifeng Kan

引用次数: 0

Narrowband optical filter with EIT-like effect on chalcogenide glass 硫系玻璃上具有eit效应的窄带滤光片

IF 3.1 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2025-03-30 DOI: 10.1016/j.infrared.2025.105832

Yujiao Tao , Xinxin Zhao , Xiaolong Liu , Yingchun Wu , Lan Li , Rongping Wang , Wei Zhang

引用次数: 0

Large-Area near infrared metamaterial emitters based on Si nanodisk arrays 基于硅纳米片阵列的大面积近红外超材料发射体

IF 3.1 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2025-03-25 DOI: 10.1016/j.infrared.2025.105827

Can Li , Yecheng Luo , Yi Shu , Churong Ma , Kai Chen

引用次数: 0