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An empirical method for improving accuracy of human eye temperature measured by uncooled infrared thermal imager
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作者 Bin Yuan Ping Gong +4 位作者 Liang Xie Hui Wang Banghong Zhang Hui Gao Baokan Qi 《Journal of Semiconductors》 EI CAS CSCD 2018年第9期55-60,共6页
In order to reduce the temperature measurement error with the uncooled infrared thermal imager, experiments were conducted to evaluate the effects of environment temperature and measurement distance on the measurement... In order to reduce the temperature measurement error with the uncooled infrared thermal imager, experiments were conducted to evaluate the effects of environment temperature and measurement distance on the measurement error of human eye temperature. First, the forehead temperature was used as an intermediate variable to obtain the actual temperature of human eyes. Then, the effects of environment temperature and measurement distance on the temperature measurement were separately analyzed. Finally, an empirical model was established to correlate actual eye temperature with the measured temperature, environment temperature, and measurement distance. To verify the formula, three different environment temperatures were tested at different distances. The measurement errors were substantially reduced using the empirical model for temperature correction. The results show that this method can effectively improve the accuracy of temperature measurement using the infrared thermal imager. 展开更多
关键词 semiconductor device uncooled infrared thermal imager environment temperature measurement dis-tance error correction
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Real Time Thermal Image Based Machine Learning Approach for Early Collision Avoidance System of Snowplows
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作者 Fletcher Wadsworth Suresh S. Muknahallipatna Khaled Ksaibati 《Journal of Intelligent Learning Systems and Applications》 2024年第2期107-142,共36页
In an effort to reduce vehicle collisions with snowplows in poor weather conditions, this paper details the development of a real time thermal image based machine learning approach to an early collision avoidance syst... In an effort to reduce vehicle collisions with snowplows in poor weather conditions, this paper details the development of a real time thermal image based machine learning approach to an early collision avoidance system for snowplows, which intends to detect and estimate the distance of trailing vehicles. Due to the operational conditions of snowplows, which include heavy-blowing snow, traditional optical sensors like LiDAR and visible spectrum cameras have reduced effectiveness in detecting objects in such environments. Thus, we propose using a thermal infrared camera as the primary sensor along with machine learning algorithms. First, we curate a large dataset of thermal images of vehicles in heavy snow conditions. Using the curated dataset, two machine-learning models based on the modified ResNet architectures were trained to detect and estimate the trailing vehicle distance using real-time thermal images. The trained detection network was capable of detecting trailing vehicles 99.0% of the time at 1500.0 ft distance from the snowplow. The trained trailing distance network was capable of estimating distance with an average estimation error of 10.70 ft. The inference performance of the trained models is discussed, along with the interpretation of the performance. 展开更多
关键词 Convolutional Neural Networks Residual Networks Object Detection Image Processing thermal Imaging
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Continuous Pseudocolor Encoding of Thermal Image Display 被引量:6
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作者 李为 《Journal of Beijing Institute of Technology》 EI CAS 1997年第1期37-42,共6页
The visual features of continuous pseudocolor encoding is discussed and the optimiz- ing design algorithm of continuous pseudocolor scale is derived.The algorithm is restricting the varying range and direction of ligh... The visual features of continuous pseudocolor encoding is discussed and the optimiz- ing design algorithm of continuous pseudocolor scale is derived.The algorithm is restricting the varying range and direction of lightness,hue and saturation according to correlation and naturalness,automatically calculating the chromaticity coordinates of nodes in uniform color space to get the longest length of scale path,then interpolating points between nodes in equal color differences to obtain continuous pseudocolor scale with visual uniformity.When it was applied to the pseudocolor encoding of thermal image displays,the results showed that the correlation and the naturalness of original images and cognitive characteristics of target pattern were reserved well;the dynamic range of visual perception and the amount of visual information increased obviously;the contrast sensitivity of target identification improved;and the blindness of scale design were avoided. 展开更多
关键词 thermal image display pseudocolor encoding OPTIMIZATION color vision
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Utilization of Thermal Infrared Image for Inversion of Winter Wheat Yield and Biomass 被引量:3
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作者 DU Wen-yong ZHANG Lu-da +7 位作者 HU Zhen-fang Shamaila Z ZENG Ai-jun SONG Jian-li LIU Ya-jia Wolfram S Joachim M HE Xiong-kui 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2011年第6期1476-1480,共5页
The present paper utilizes thermal infrared image for inversion of winter wheat yield and biomass with different technology of irrigation(drip irrigation,sprinkler irrigation,flood irrigation).It is the first time tha... The present paper utilizes thermal infrared image for inversion of winter wheat yield and biomass with different technology of irrigation(drip irrigation,sprinkler irrigation,flood irrigation).It is the first time that thermal infrared image is used for predicting the winter wheat yield and biomass.The temperature of crop and background was measured by thermal infrared image.It is necessary to get the crop background separation index(CBSIL,CBSIH),which can be used for distinguishing the crop value from the image.CBSIL and CBSIH(the temperature when the leaves are wet adequately;the temperature when the stomata of leaf is closed completely) are the threshold values.The temperature of crop ranged from CBSIL to CBSIH.Then the ICWSI was calculated based on relevant theoretical method.The value of stomata leaf has strong negative correlation with ICWSI proving the reliable value of ICWSI.In order to construct the high accuracy simulation model,the samples were divided into two parts.One was used for constructing the simulation model,the other for checking the accuracy of the model.Such result of the model was concluded as:(1) As for the simulation model of soil moisture,the correlation coefficient(R2) is larger than 0.887 6,the average of relative error(Er) ranges from 13.33% to 16.88%;(2) As for the simulation model of winter wheat yield,drip irrigation(0.887 6,16.89%,-0.12),sprinkler irrigation(0.970 0,14.85%,-0.12),flood irrigation(0.969 0,18.87%,0.18),with the values of R2,Er and CRM listed in the parentheses followed by the individual term.(3) As for winter wheat biomass,drip irrigation(0.980 0,13.70%,0.13),sprinkler irrigation(0.95,13.15%,-0.14),flood irrigation(0.970 0,14.48%,-0.13),and the values in the parentheses are demonstrated the same as above.Both the CRM and Er are shown to be very low values,which points to the accuracy and reliability of the model investigated.The accuracy of model is high and reliable.The results indicated that thermal infrared image can be used potentially for inversion of winter wheat yield and biomass. 展开更多
关键词 thermal infrared image Infrared index ICWSI Technology of irrigation
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Human Stress Recognition from Facial Thermal-Based Signature:A Literature Survey 被引量:2
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作者 Darshan Babu L.Arasu Ahmad Sufril Azlan Mohamed +3 位作者 Nur Intan Raihana Ruhaiyem Nagaletchimee Annamalai Syaheerah Lebai Lutfi Mustafa M.Al Qudah 《Computer Modeling in Engineering & Sciences》 SCIE EI 2022年第2期633-652,共20页
Stress is a normal reaction of the human organism which triggered in situations that require a certain level of activation.This reaction has both positive and negative effects on everyone’s life.Therefore,stress mana... Stress is a normal reaction of the human organism which triggered in situations that require a certain level of activation.This reaction has both positive and negative effects on everyone’s life.Therefore,stress management is of vital importance in maintaining the psychological balance of a person.Thermal-based imaging technique is becoming popular among researchers due to its non-contact conductive nature.Moreover,thermal-based imaging has shown promising results in detecting stress in a non-contact and non-invasive manner.Compared to other non-contact stress detection methods such as pupil dilation,keystroke behavior,social media interaction and voice modulation,thermal-based imaging provides better features with clear boundaries and requires no heavy methodology.This paper presented a brief review of previous work on thermal imaging related stress detection in humans.This paper also presented the stages of stress detection based on thermal face signatures such as dataset type,thermal image face detection,feature descriptors and classification performance comparisons are presented.This paper can help future researchers to understand stress detection based on thermal imaging by presenting the popular methods previous researchers use for stress detection based on thermal images. 展开更多
关键词 Stress state stress recognition skin temperature thermal signature thermal imaging
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INFRARED THERMAL IMAGE STUDY ON THE FOREWARNING OF COAL AND SANDSTONE FAILURE UNDER LOAD 被引量:2
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作者 吴立新 王金庄 《Journal of Coal Science & Engineering(China)》 1997年第2期15-23,共9页
In the experimental study, AGE-782 thermal instrument was used to detect the infrared radiation variation of coal and sandstone (wave-length range 3.6~5.5 μm was used). It's discovered that coal and sandstone fa... In the experimental study, AGE-782 thermal instrument was used to detect the infrared radiation variation of coal and sandstone (wave-length range 3.6~5.5 μm was used). It's discovered that coal and sandstone failure under load have three kinds of infrared thermal features as well as infrared forewarning messages. That are: (1) temperature rises gradually but drops before failure ; (2) temperature rises gradually but quickly rises before failure; (3) first rises,then drops and lower temperature emerges before failure. The further researches and the prospect of micro-wave remote sensing detection .on ground pressure is also discussed. 展开更多
关键词 forewarning message of Coal and sandstone failure infrared detection infrared thermal image underground pressure microwave remote sensing
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Application of Spectral Angle Mapper Classification to Discriminate Hydrothermal Alteration in Southwest Birjand, Iran, Using Advanced Spaceborne Thermal Emission and Reflection Radiometer Image Processing 被引量:5
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作者 Maryam ABDI Mohammd H. KARIMPOUR 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2012年第5期1289-1296,共8页
The purpose of this study is to evaluate the Spectral Angle Mapper (SAM) classification method for determining the optimum threshold (maximum spectral angle) to unveil the hydrothermal mineral assemblages related ... The purpose of this study is to evaluate the Spectral Angle Mapper (SAM) classification method for determining the optimum threshold (maximum spectral angle) to unveil the hydrothermal mineral assemblages related to mineral deposits. The study area indicates good potential for Cu-Au porphyry, epithermal gold deposits and hydrothermal alteration well developed in arid and semiarid climates, which makes this region significant for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image processing analysis. Given that achieving an acceptable mineral mapping requires knowing the alteration patterns, petrochemistry and petrogenesis of the igneous rocks while considering the effect of weathering, overprinting of supergene alteration, overprinting of hypogene alteration and host rock spectral mixing, SAM classification was implemented for argillic, sericitic, propylitic, alunitization, silicification and iron oxide zones of six previously known mineral deposits: Maherabad, a Cu-Au porphyry system; Sheikhabad, an upper part of Cu-Au porphyry system; Khoonik, an Intrusion related Au system; Barmazid, a low sulfidation epithermal system; Khopik, a Cu-Au porphyry system; and Hanish, an epithermal Au system. Thus, the investigation showed that although the whole alteration zones are affected by mixing, it is also possible to produce a favorable hydrothermal mineral map by such complementary data as petrology, petrochemistry and alteration patterns. 展开更多
关键词 hydrothermal alteration Spectral Angle Mapper Advanced Spaceborne thermal Emission and Reflection Radiometer image process Iran
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Wavelet Transform Approach to Segment Thermal Image 被引量:1
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作者 付梦印 张长江 +1 位作者 李杰 金梅 《Journal of Beijing Institute of Technology》 EI CAS 2003年第S1期33-38,共6页
An efficient multi-threshold approach to segment thermal image is given based on wavelet transform. The gray-level histogram of original image is obtained. In order to reduce the effect of noise, the gray-level histog... An efficient multi-threshold approach to segment thermal image is given based on wavelet transform. The gray-level histogram of original image is obtained. In order to reduce the effect of noise, the gray-level histogram is smoothed by Bezier curve and Bezier histogram is obtained. One dimension stationary wavelet transform is done to the curvature curve of Bezier histogram. Positions of peak values of curvature curve in wavelet domain are adjusted from 'fine-to-coarse' at all scales. The gray level values, which are located in adjusted peak values at all scales, are considered as segmentation thresholds. The gray level values of valley between peaks are considered as quantity gray levels. Optimal segmentation scale is obtained by a cost criterion. The results of experiment show that a target can be segmented effectively from complex background in thermal image by new approach. 展开更多
关键词 wavelet transform thermal image segmentation Bezier histogram CURVATURE
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Device topological thermal management of β-Ga_(2)O_(3) Schottky barrier diodes 被引量:1
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作者 Yang-Tong Yu Xue-Qiang Xiang +4 位作者 Xuan-Ze Zhou Kai Zhou Guang-Wei Xu Xiao-Long Zhao Shi-Bing Long 《Chinese Physics B》 SCIE EI CAS CSCD 2021年第6期509-515,共7页
The ultra-wide bandgap semiconductor β gallium oxide(β-Ga_(2) O_(3)) gives promise to low conduction loss and high power for electronic devices. However, due to the natural poor thermal conductivity of β-Ga_(2) O_(... The ultra-wide bandgap semiconductor β gallium oxide(β-Ga_(2) O_(3)) gives promise to low conduction loss and high power for electronic devices. However, due to the natural poor thermal conductivity of β-Ga_(2) O_(3), their power devices suffer from serious self-heating effect. To overcome this problem, we emphasize on the effect of device structure on peak temperature in β-Ga_(2) O_(3) Schottky barrier diodes(SBDs) using TCAD simulation and experiment. The SBD topologies including crystal orientation of β-Ga_(2) O_(3), work function of Schottky metal, anode area, and thickness, were simulated in TCAD, showing that the thickness of β-Ga_(2) O_(3) plays a key role in reducing the peak temperature of diodes. Hence, we fabricated β-Ga_(2) O_(3) SBDs with three different thickness epitaxial layers and five different thickness substrates. The surface temperature of the diodes was measured using an infrared thermal imaging camera. The experimental results are consistent with the simulation results. Thus, our results provide a new thermal management strategy for high power β-Ga_(2) O_(3) diode. 展开更多
关键词 β-Ga_(2)O_(3)Schottky barrier diode thermal management TCAD simulation infrared thermal imaging camera
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Response of saturated porous media subjected to local thermal loading on the surface of semi-infinite space 被引量:5
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作者 Bing Bai 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2006年第1期54-61,共8页
Heat source function method is adopted in the present paper to derive elementary solutions of coupled thermo-hydro-mechanical consolidation for saturated porous media under conjunct actions of instantaneous point heat... Heat source function method is adopted in the present paper to derive elementary solutions of coupled thermo-hydro-mechanical consolidation for saturated porous media under conjunct actions of instantaneous point heat source, instantaneous point fluid source and constant volume force. By using the so-called fictitious heat source method and images method, the solutions of a semi-infinite saturated porous medium subjected to a local heat source with time-varied intensity on its free surface are developed from elementary solutions. The numerical integral methods for calculating the unsteady temperature, pore pressure and displacement fields are given. The thermomechanical response are analyzed for the case of a circular planar heat source. Besides, the thermal consolidation characteristics of a saturated porous medium subjected to a harmonic thermal loading are also given, and the fluctuation processes of the field variables located below the center of heat source are analyzed. 展开更多
关键词 Saturated porous media thermal consolidation Elementary solution Heat source Method of images
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Improving wavelet reconstruction algorithm to achieve comprehensive application of thermal infrared remote sensing data from TM and MODIS 被引量:1
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作者 周启刚 Chen Dan 《High Technology Letters》 EI CAS 2015年第2期224-230,共7页
According to the data characteristics of Landsat thematic mapper (TM) and MODIS, a new fu sion algorithm about thermal infrared data has been proposed in the article based on improving wave let reconstruction. Under... According to the data characteristics of Landsat thematic mapper (TM) and MODIS, a new fu sion algorithm about thermal infrared data has been proposed in the article based on improving wave let reconstruction. Under the domain of neighborhood wavelet reconstruction, data of TM and MO DIS are divided into three layers using wavelet decomposition. The texture information of TM data is retained by fusing highfrequency information. The neighborhood correction coefficient method (NC CM) is set up based on the search neighborhood of a certain size to fuse lowfrequency information. Thermal infrared value of MODIS data is reduced to the space value of TM data by applying NCCM. The data with high spectrum, high spatial and high temporal resolution, are obtained through the al gorithm in the paper. Verification results show that the texture information of TM data and high spec tral information of MODIS data could be preserved well by the fusion algorithm. This article could provide technical support for high precision and fast extraction of the surface environment parame ters. 展开更多
关键词 neighborhood wavelet reconstruction neighborhood correction coefficient method( NCCM) thematic mapper (TM) MODIS thermal infrared remote sensing image
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Evaluation of facial temperature distribution changes during meditation using infrared thermal imaging:An experimental,cross-over study
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作者 Raoying Wang Lili Zhu +7 位作者 Xiaohan Liu Tengteng Li Jiayi Gao Hongjuan Li Yu Lu Yuanfeng Zhang Yibo Li Tao Lu 《Journal of Traditional Chinese Medical Sciences》 CAS 2023年第3期257-266,共10页
Objective:To investigate the differences between meditation and resting states using infrared thermal imaging(IRTI)to determine facial temperature distribution features during meditation and annotate the patterns of f... Objective:To investigate the differences between meditation and resting states using infrared thermal imaging(IRTI)to determine facial temperature distribution features during meditation and annotate the patterns of facial temperature changes during meditation from the perspective of traditional Chinese medicine facial diagnosis.Methods:Each participant performed 10 min meditation and 10 min resting but in different sequences.A concentration test was set as the task load,followed by a meditation/resting or resting/meditation session,during which the participants'facial temperatures were observed using IRTI.Participants were scored on the Big Five Inventory(BFI)and Mindful Attention Awareness Scale(MAAS).Results:Forehead temperatures decreased more during meditation than during the resting state.The chin temperature increased only during meditation(P<.0001).For the subjects with meditation experience,there were significant differences in the temperatures of the left forehead(P<.01),right forehead(P<.01)and chin(P<.05)between the meditation and resting state at the 10~(th)min.In the nontask state,the BFI-Extraversion showed a negative correlation with the temperature of the left forehead(R=-0.41,P=.03).In the post-task state,the temperature of the left forehead was negatively correlated with scores on the MAAS(R=-0.42,P=.02).Conclusion:Using IRTI to study meditation offers a practical solution to the challenges in meditation research.The results indicate that an increase in chin temperature may be a representative feature of a meditation state,and forehead temperature is also a potential indicator. 展开更多
关键词 MEDITATION Infrared thermal imaging MINDFULNESS PERSONALITY Meditation experience
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Design of Uncooled Thermal Imaging Systems Operating at Multiple Temperatures
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作者 张俊举 常本康 钱芸生 《Defence Technology(防务技术)》 SCIE EI CAS 2009年第4期296-301,共6页
The reasons why thermal imaging systems consume power are analyzed,and a low power consumption design scheme is presented for the thermal imaging systems operating at multiple temperatures. The relation between the re... The reasons why thermal imaging systems consume power are analyzed,and a low power consumption design scheme is presented for the thermal imaging systems operating at multiple temperatures. The relation between the response performance of α-Si microbolometer detector and its operating temperature is studied by means of formulas of microbolometer detector's noise equivalent temperature difference(NETD) and detectivity. Numerical analysis based on true parameters demonstrates that the detectivity decreases slightly and NETD increases slightly when operating temperature rises,which indicates that α-Si microbolometer detector has approximately uniform response in a wide operating temperature range. According to these analyses,a thermal imaging system operating at multiple temperatures is designed. The power of thermoelectric stabilizer(TEC) is less than 350 mW and NETD is less than 120 mK in the ambient temperature range of-40 ℃-60 ℃,which shows that this system not only outputs high-quality images but consumes low power. 展开更多
关键词 infared technology thermal imaging system temperature characteristics NETD DETECTIVITY
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Optical micro-scanning location calibration of thermal microscope imaging system
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作者 关丛荣 高美静 +1 位作者 金伟其 王吉晖 《Journal of Beijing Institute of Technology》 EI CAS 2013年第2期250-255,共6页
A method of micro-scanning location adaptive calibration was proposed, which was real- ized by the digital image micro-displacement estimation. With geometric calculation, this calibration method used the displacement... A method of micro-scanning location adaptive calibration was proposed, which was real- ized by the digital image micro-displacement estimation. With geometric calculation, this calibration method used the displacement estimation of two thermal microscope images to get the size and direc- tion of each scanning location calibration angle. And each location calibration process was repeated according to the offset given by the system beforehand. The comparison experiments of sequence oversampling reconstruction before and after the micro-scanning location calibration were done. The results showed that the calibration method effectively improved the thermal microscope imaging qual- ity. 展开更多
关键词 thermal microscope imaging micro-scanning location calibration oversampling recon- struction
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Thermal Infrared Salient Human Detection Model Combined with Thermal Features in Airport Terminal
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作者 YU Yuecheng LIU Chang +1 位作者 WANG Chuan SHI Jinlong 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2022年第4期434-449,共16页
Target detection in low light background is one of the main tasks of night patrol robots for airport terminal.However,if some algorithms can run on a robot platform with limited computing resources,it is difficult for... Target detection in low light background is one of the main tasks of night patrol robots for airport terminal.However,if some algorithms can run on a robot platform with limited computing resources,it is difficult for these algorithms to ensure the detection accuracy of human body in the airport terminal. A novel thermal infrared salient human detection model combined with thermal features called TFSHD is proposed. The TFSHD model is still based on U-Net,but the decoder module structure and model lightweight have been redesigned. In order to improve the detection accuracy of the algorithm in complex scenes,a fusion module composed of thermal branch and saliency branch is added to the decoder of the TFSHD model. Furthermore,a predictive loss function that is more sensitive to high temperature regions of the image is designed. Additionally,for the sake of reducing the computing resource requirements of the algorithm,a model lightweight scheme that includes simplifying the encoder network structure and controlling the number of decoder channels is adopted. The experimental results on four data sets show that the proposed method can not only ensure high detection accuracy and robustness of the algorithm,but also meet the needs of real-time detection of patrol robots with detection speed above 40 f/s. 展开更多
关键词 thermal infrared image human body detection SALIENCY thermal features lightweight model
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Fault Diagnosis of Industrial Motors with Extremely Similar Thermal Images Based on Deep Learning-Related Classification Approaches
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作者 Hong Zhang Qi Wang +2 位作者 Lixing Chen Jiaming Zhou Haijian Shao 《Energy Engineering》 EI 2023年第8期1867-1883,共17页
Induction motors(IMs)typically fail due to the rate of stator short-circuits.Because of the similarity of the thermal images produced by various instances of short-circuit and the minor interclass distinctions between... Induction motors(IMs)typically fail due to the rate of stator short-circuits.Because of the similarity of the thermal images produced by various instances of short-circuit and the minor interclass distinctions between categories,non-destructive fault detection is universally perceived as a difficult issue.This paper adopts the deep learning model combined with feature fusion methods based on the image’s low-level features with higher resolution and more position and details and high-level features with more semantic information to develop a high-accuracy classification-detection approach for the fault diagnosis of IMs.Based on the publicly available thermal images(IRT)dataset related to condition monitoring of electrical equipment-IMs,the proposed approach outperforms the highest training accuracy,validation accuracy,and testing accuracy,i.e.,99%,100%,and 94%,respectively,compared with 8 benchmark approaches based on deep learning models and 3 existing approaches in the literature for 11-class IMs faults.Even the training loss,validation loss,and testing loss of the eleven deployed deep learning models meet industry standards. 展开更多
关键词 Induction motors fault diagnosis thermal images deep learning
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Photovoltaic Cell Panels Soiling Inspection Using Principal Component Thermal Image Processing
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作者 A.Sriram T.D.Sudhakar 《Computer Systems Science & Engineering》 SCIE EI 2023年第6期2761-2772,共12页
Intended for good productivity and perfect operation of the solar power grid a failure-free system is required.Therefore,thermal image processing with the thermal camera is the latest non-invasive(without manual conta... Intended for good productivity and perfect operation of the solar power grid a failure-free system is required.Therefore,thermal image processing with the thermal camera is the latest non-invasive(without manual contact)type fault identification technique which may give good precision in all aspects.The soiling issue,which is major productivity affecting factor may import from several reasons such as dust on the wind,bird mucks,etc.The efficient power production sufferers due to accumulated soil deposits reaching from 1%–7%in the county,such as India,to more than 25%in middle-east countries country,such as Dubai,Kuwait,etc.This research offers a solar panel soiling detection system built on thermal imaging which powers the inspection method and mitigates the requirement for physical panel inspection in a large solar production place.Hence,in this method,solar panels can be verified by working without disturbing production operation and it will save time and price of recognition.India ranks 3rd worldwide in the usage use age of Photovoltaic(PV)panels now and it is supported about 8.6%of the Nation’s electricity need in the year 2020.In the meantime,the installed PV production areas in India are aged 4–5 years old.Hence the need for inspection and maintenance of installed PV is growing fast day by day.As a result,this research focuses on finding the soiling hotspot exactly of the working solar panels with the help of Principal Components Thermal Analysis(PCTA)on MATLAB Environment. 展开更多
关键词 PV cell thermal imaging PCTA(Principal Components thermal Analysis) PV cell soiling detection
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Oversample Reconstruction Based on a Strong Inter-Diagonal Matrix for an Optical Microscanning Thermal Microscope Imaging System
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作者 Meijing Gao Ailing Tan +3 位作者 Jie Xu Weiqi Jin Zhenlong Zu Ming Yang 《Journal of Beijing Institute of Technology》 EI CAS 2018年第1期65-73,共9页
Based on a strong inter-diagonal matrix and Taylor series expansions,an oversample reconstruction method was proposed to calibrate the optical micro-scanning error. The technique can obtain regular 2 ×2 microscan... Based on a strong inter-diagonal matrix and Taylor series expansions,an oversample reconstruction method was proposed to calibrate the optical micro-scanning error. The technique can obtain regular 2 ×2 microscanning undersampling images from the real irregular undersampling images,and can then obtain a high spatial oversample resolution image. Simulations and experiments show that the proposed technique can reduce optical micro-scanning error and improve the system's spatial resolution. The algorithm is simple,fast and has low computational complexity. It can also be applied to other electro-optical imaging systems to improve their spatial resolution and has a widespread application prospect. 展开更多
关键词 optical microscanning strong inter-diagonal matrix oversample reconstruction thermal microscope imaging system
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Characterization of Automotive Aluminum AA356 by Photo Thermal Radiometric Spectroscopy
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作者 Alberto Lara Guevara Minerva Robles +2 位作者 Gabriel Placencia Rubén Velázquez Ignacio Rojas Rodríguez 《Journal of Materials Science and Chemical Engineering》 2021年第10期10-18,共9页
Photothermal radiometric spectroscopy was employed for characterizing an aluminum automotive piston with a steel insert. Amplitude and phase thermal property differences allowed the mapping of both metals. Thermal ima... Photothermal radiometric spectroscopy was employed for characterizing an aluminum automotive piston with a steel insert. Amplitude and phase thermal property differences allowed the mapping of both metals. Thermal images were generated by using table stages x-y movement. The thermal wave penetrated more deeply in aluminum than in steel. Results demonstrated that this relatively unknown, non-intrusively, non-contact, and non-destructive technique can be used for characterizing a wide variety of metals and other materials. 展开更多
关键词 PHOTOthermal Nondestructive Evaluation thermal Imaging AMPLITUDE Phase
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Gait Recognition System in Thermal Infrared Night Imaging by Using Deep Convolutional Neural Networks
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作者 MANSSOR Samah A F SUN Shaoyuan +1 位作者 ZHAO Guoshun QU Binjie 《Journal of Donghua University(English Edition)》 CAS 2021年第6期527-538,共12页
Gait is an essential biomedical feature that distinguishes individuals through walking.This feature automatically stimulates the need for remote human recognition in security-sensitive visual monitoring applications.H... Gait is an essential biomedical feature that distinguishes individuals through walking.This feature automatically stimulates the need for remote human recognition in security-sensitive visual monitoring applications.However,there is still a lack of sufficient accuracy of gait recognition at night,in addition to taking some critical factors that affect the performances of the recognition algorithm.Therefore,a novel approach is proposed to automatically identify individuals from thermal infrared(TIR)images according to their gaits captured at night.This approach uses a new night gait network(NGaitNet)based on similarity deep convolutional neural networks(CNNs)method to enhance gait recognition at night.First,the TIR image is represented via personal movements and enhanced body skeleton segments.Then,the state-space method with a Hough transform is used to extract gait features to obtain skeletal joints′angles.These features are trained to identify the most discriminating gait patterns that indicate a change in human identity.To verify the proposed method,the experimental results are performed by using learning and validation curves via being connected by the Visdom website.The proposed thermal infrared imaging night gait recognition(TIRNGaitNet)approach has achieved the highest gait recognition accuracy rates(99.5%,97.0%),especially under normal walking conditions on the Chinese Academy of Sciences Institute of Automation infrared night gait dataset(CASIA C)and Donghua University thermal infrared night gait database(DHU night gait dataset).On the same dataset,the results of the TIRNGaitNet approach provide the record scores of(98.0%,87.0%)under the slow walking condition and(94.0%,86.0%)for the quick walking condition. 展开更多
关键词 gait recognition thermal infrared(TIR)image SILHOUETTE feature extraction convolutional neural network(CNN)
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