Chaoqun Ma, Ying Zhang, H. Cai, Juhong Han, K. Rong, G. An, Jiawei Guo, Xiaoxu Liu, Haoyu Li, Jiao Yang, Qing Luo, You Wang
{"title":"A 3.9 µm Ho3+:BYF laser pumped by a three-mirror cavity Cr:LiSAF laser with high optical-to-optical efficiency","authors":"Chaoqun Ma, Ying Zhang, H. Cai, Juhong Han, K. Rong, G. An, Jiawei Guo, Xiaoxu Liu, Haoyu Li, Jiao Yang, Qing Luo, You Wang","doi":"10.1117/12.2606681","DOIUrl":"https://doi.org/10.1117/12.2606681","url":null,"abstract":"","PeriodicalId":64126,"journal":{"name":"红外技术","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89711436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
： To address the difficulty of image analysis in a complex environment, an image segmentation and detection method of an HSV spatial model was studied. First, a UAV was used to collect images. Second, Gaussian convolution was used to detect the gradient of the cracked image after the photovoltaic (PV) panel area was extracted. Finally, morphological image processing and the HSV spatial model were applied to extract the occlusion, and the ratio of the minimum external rectangle area to the PV panel area was calculated. This method can effectively segment and detect PV images in complex backgrounds and provides certain innovative and practical value.
{"title":"Detection and Analysis of Photovoltaic Panels Based on UAV and HSV Space","authors":"Lingling ZHAO, WANG Ye, LIU Jun","doi":"10.3724/sp.j.7103116037","DOIUrl":"https://doi.org/10.3724/sp.j.7103116037","url":null,"abstract":"： To address the difficulty of image analysis in a complex environment, an image segmentation and detection method of an HSV spatial model was studied. First, a UAV was used to collect images. Second, Gaussian convolution was used to detect the gradient of the cracked image after the photovoltaic (PV) panel area was extracted. Finally, morphological image processing and the HSV spatial model were applied to extract the occlusion, and the ratio of the minimum external rectangle area to the PV panel area was calculated. This method can effectively segment and detect PV images in complex backgrounds and provides certain innovative and practical value.","PeriodicalId":64126,"journal":{"name":"红外技术","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49612873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
： Near-infrared (NIR) polymer photodetectors possess flexible and adjustable photoelectric characteristics, have good compatibility with flexible substrates, require a simple preparation process, and are inexpensive. They also have significant application prospects in aviation, military, industrial, and medical fields. NIR polymer photodetector structures include photoconductors, photodiodes, and phototransistors. This study reviews the research progress of NIR polymer photodiodes (NIR PPDs). First, the photoelectric conversion principle of NIR PPDs is introduced. Second, important advances made by researchers in improving the performance of NIR PPDs from the perspectives of new material development and device structure design are discussed. Finally, a summary is presented along with possible challenges and prospects of current research on NIR PPDs.
{"title":"Review of Near-Infrared Polymer Photodiodes","authors":"太 惠玲, 蒋 亚东, 黎 威志, 肖 建花","doi":"10.3724/sp.j.7103116028","DOIUrl":"https://doi.org/10.3724/sp.j.7103116028","url":null,"abstract":"： Near-infrared (NIR) polymer photodetectors possess flexible and adjustable photoelectric characteristics, have good compatibility with flexible substrates, require a simple preparation process, and are inexpensive. They also have significant application prospects in aviation, military, industrial, and medical fields. NIR polymer photodetector structures include photoconductors, photodiodes, and phototransistors. This study reviews the research progress of NIR polymer photodiodes (NIR PPDs). First, the photoelectric conversion principle of NIR PPDs is introduced. Second, important advances made by researchers in improving the performance of NIR PPDs from the perspectives of new material development and device structure design are discussed. Finally, a summary is presented along with possible challenges and prospects of current research on NIR PPDs.","PeriodicalId":64126,"journal":{"name":"红外技术","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47272562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
： White-light OLED devices can be used as a surface light source and for full color displays, which have become the focus of OLED research and development. However, there are some shortcomings in the realization of white-light OLED devices, such as insufficient luminous performance, difficult process control, and easy color drift. To solve these problems, the optimized ratios of primary colors(red, green, and blue) of organic OLED devices were preliminarily obtained through the realization of white light and calculation of the color coordinate. An experimental white-light OLED device was prepared with a color coordinate of (0.31, 0.35). Further, theoretical calculations and experimental optimizations were carried out to reduce the red-light doping concentration and increase the green-light doping ratio to realize standard white-light (0.33, 0.33) OLED devices.
{"title":"White Light Realization and Color Coordinate Calculation of OLED Devices","authors":"段 良飞, 王 丽琼, 段 登辉, 季 华夏, 高 思博, 王 光华, 武 艳鸣","doi":"10.3724/sp.j.7103116034","DOIUrl":"https://doi.org/10.3724/sp.j.7103116034","url":null,"abstract":"： White-light OLED devices can be used as a surface light source and for full color displays, which have become the focus of OLED research and development. However, there are some shortcomings in the realization of white-light OLED devices, such as insufficient luminous performance, difficult process control, and easy color drift. To solve these problems, the optimized ratios of primary colors(red, green, and blue) of organic OLED devices were preliminarily obtained through the realization of white light and calculation of the color coordinate. An experimental white-light OLED device was prepared with a color coordinate of (0.31, 0.35). Further, theoretical calculations and experimental optimizations were carried out to reduce the red-light doping concentration and increase the green-light doping ratio to realize standard white-light (0.33, 0.33) OLED devices.","PeriodicalId":64126,"journal":{"name":"红外技术","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43889189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
： In order to realize high efficiency auto focusing function in infrared imaging system, the characteristics of infrared imaging systems are analyzed. The optimization methods of auto-focusing functions in infrared imaging systems are discussed and summarized. Combined with practical engineering applications, a method for estimating the local random fluctuation noise of the image sharpness evaluation function is proposed. The method improves the reliability of automatic focusing processes. By introducing the sensitivity of image sharpness evaluation function as feedback into the climbing process, the convergence speed of the climbing algorithm can be optimized. The optimization methods were applied to engineering applications, and its implementation verified the correctness of the design and the effectiveness of the optimization methods.
{"title":"Optimizing Method of Autofocusing Function in Infrared Imaging System","authors":"诚 吴, 学宽 李, 兰 苏, 晓霞 龚, 明国 范, 浩 吕, 瑞宇 杨, 润来 杜, 敏杰 尹","doi":"10.3724/sp.j.7103116031","DOIUrl":"https://doi.org/10.3724/sp.j.7103116031","url":null,"abstract":"： In order to realize high efficiency auto focusing function in infrared imaging system, the characteristics of infrared imaging systems are analyzed. The optimization methods of auto-focusing functions in infrared imaging systems are discussed and summarized. Combined with practical engineering applications, a method for estimating the local random fluctuation noise of the image sharpness evaluation function is proposed. The method improves the reliability of automatic focusing processes. By introducing the sensitivity of image sharpness evaluation function as feedback into the climbing process, the convergence speed of the climbing algorithm can be optimized. The optimization methods were applied to engineering applications, and its implementation verified the correctness of the design and the effectiveness of the optimization methods.","PeriodicalId":64126,"journal":{"name":"红外技术","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45032712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
： In recent years, solar blind ultraviolet detection has been widely used in power fault detection. Based on atmospheric temperature profile and MODTRAN, we conduct simulation analysis on the influence of atmospheric temperature on solar blind ultraviolet atmospheric transmission. And finally the relationship between atmospheric temperature and ultraviolet atmospheric transmission was obtained through wavelength analysis and curve fitting. Based on the simulation relational expression, the quantitative analysis of atmospheric temperature and atmospheric transmission can be carried out, which can promote the study of the characteristics of solar blind ultraviolet transmission in the atmosphere and improve the accuracy of corona detection.
{"title":"Research on the Theoretical Model Between Solar-blind UV and Atmospheric Temperature during Atmospheric Transmission","authors":"马 御棠, 周 仿荣, 钱 国超","doi":"10.3724/sp.j.7103116042","DOIUrl":"https://doi.org/10.3724/sp.j.7103116042","url":null,"abstract":"： In recent years, solar blind ultraviolet detection has been widely used in power fault detection. Based on atmospheric temperature profile and MODTRAN, we conduct simulation analysis on the influence of atmospheric temperature on solar blind ultraviolet atmospheric transmission. And finally the relationship between atmospheric temperature and ultraviolet atmospheric transmission was obtained through wavelength analysis and curve fitting. Based on the simulation relational expression, the quantitative analysis of atmospheric temperature and atmospheric transmission can be carried out, which can promote the study of the characteristics of solar blind ultraviolet transmission in the atmosphere and improve the accuracy of corona detection.","PeriodicalId":64126,"journal":{"name":"红外技术","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48433320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to solve the problem of reduced detection accuracy caused by a complex target -position scene and an uneven size in the detection of the abnormal heating point in an infrared image of a high-voltage switchgear. According to the YOLO v3 algorithm, the basic network architecture was optimized by including a convolution module and adjusting some hyper-parameters to realize rapid detection and identification of abnormal heating points in high-voltage switchgears. Simultaneously, a dataset for abnormal heating points of infrared images in high-voltage switchgears was established, and appropriate weights were obtained through training. The experimental results indicated that the detection method had a fast recognition speed, high accuracy, and strong generalization ability. The test accuracy reached 91.83%, indicating that the method can be initially applied to the detection of abnormal heating-point targets in high-voltage switchgears.
{"title":"The Target Detection Method for Abnormal Heating Point of High-Voltage Switchgear Based on YOLO v3","authors":"Yongping Wang, Hongmin Zhang, Chuang Peng, Hongyi Guo","doi":"10.3724/sp.j.7103116038","DOIUrl":"https://doi.org/10.3724/sp.j.7103116038","url":null,"abstract":"This study aims to solve the problem of reduced detection accuracy caused by a complex target -position scene and an uneven size in the detection of the abnormal heating point in an infrared image of a high-voltage switchgear. According to the YOLO v3 algorithm, the basic network architecture was optimized by including a convolution module and adjusting some hyper-parameters to realize rapid detection and identification of abnormal heating points in high-voltage switchgears. Simultaneously, a dataset for abnormal heating points of infrared images in high-voltage switchgears was established, and appropriate weights were obtained through training. The experimental results indicated that the detection method had a fast recognition speed, high accuracy, and strong generalization ability. The test accuracy reached 91.83%, indicating that the method can be initially applied to the detection of abnormal heating-point targets in high-voltage switchgears.","PeriodicalId":64126,"journal":{"name":"红外技术","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45036639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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