Pub Date : 2019-01-01DOI: 10.11972/J.ISSN.1001-9014.2019.01.004
Zhiting Hu, Ji-wei Chen, Lei Du, Yufang Zhu, Jiazhen Zhang, Huang Xu, Feng Liu, Gang Chen
A theoretical study on the perfect absorbers working in the far-infrared region with SU8 based multiplelayer metamaterials has been demonstrated. The perfect absorbers consist of periodic array of metal particles,SU8 dielectric spacing layer and a thicker metallic bottom layer. Through the LC model and the finite element numerical simulation methods,we studied the performance of the absorber. With finely tuned parameters,such like the thickness of the SU8 dielectric layers,the periodicity of the metal particles array,and the length of the metal particles, the near perfect absorption up to ~ 100% at the wavelength range between 20 μm to 30 μm for far infrared can be achieved. Based on these results,further design for the double-resonator absorber has been provided. Dual band perfect absorption can be accurately and independently obtained by adjusting the particle size of the upper and the lower metal layers. Moreover,the wavelength of the perfect absorption is also almost independent of the incident angle. These phenomena can be attributed to the multiple reflections between the thick metallic bottom layer and metal particle layers separated by SU8 dielectric layer,which can also be explained using a LC model as the resonant absorption in the metal-dielectric-metal cavities.
{"title":"Theoretical study on the far-infrared perfect absorbers with SU8 based multilayered metamaterial structure","authors":"Zhiting Hu, Ji-wei Chen, Lei Du, Yufang Zhu, Jiazhen Zhang, Huang Xu, Feng Liu, Gang Chen","doi":"10.11972/J.ISSN.1001-9014.2019.01.004","DOIUrl":"https://doi.org/10.11972/J.ISSN.1001-9014.2019.01.004","url":null,"abstract":"A theoretical study on the perfect absorbers working in the far-infrared region with SU8 based multiplelayer metamaterials has been demonstrated. The perfect absorbers consist of periodic array of metal particles,SU8 dielectric spacing layer and a thicker metallic bottom layer. Through the LC model and the finite element numerical simulation methods,we studied the performance of the absorber. With finely tuned parameters,such like the thickness of the SU8 dielectric layers,the periodicity of the metal particles array,and the length of the metal particles, the near perfect absorption up to ~ 100% at the wavelength range between 20 μm to 30 μm for far infrared can be achieved. Based on these results,further design for the double-resonator absorber has been provided. Dual band perfect absorption can be accurately and independently obtained by adjusting the particle size of the upper and the lower metal layers. Moreover,the wavelength of the perfect absorption is also almost independent of the incident angle. These phenomena can be attributed to the multiple reflections between the thick metallic bottom layer and metal particle layers separated by SU8 dielectric layer,which can also be explained using a LC model as the resonant absorption in the metal-dielectric-metal cavities.","PeriodicalId":50181,"journal":{"name":"红外与毫米波学报","volume":"38 1","pages":"0121"},"PeriodicalIF":0.7,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66393343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Pub Date : 2019-01-01DOI: 10.11972/J.ISSN.1001-9014.2019.03.019
Shuang Wu, Z. Zuo
A new deep convolutional network for detecting small targets in infrared images is proposed. The problem of small targets detection is transformed into the classification of small targets’location distribution. First,a Fully Convolutional Networks is used for enhancing and initially screening the small targets. After that,the original image and the background suppressed image are selected as the inputs for classification network which is used for the follow-up screening,and then the SEnet ( Squeeze-and-Excitation Networks) is used to select the feature maps. The experimental results show that the detection network is superior to multiple typical infrared small target detection methods and has an excellent result on different signal-to-noise ratio,different scenes and motion blur targets.
{"title":"Small target detection in infrared images using deep convolutional neural networks","authors":"Shuang Wu, Z. Zuo","doi":"10.11972/J.ISSN.1001-9014.2019.03.019","DOIUrl":"https://doi.org/10.11972/J.ISSN.1001-9014.2019.03.019","url":null,"abstract":"A new deep convolutional network for detecting small targets in infrared images is proposed. The problem of small targets detection is transformed into the classification of small targets’location distribution. First,a Fully Convolutional Networks is used for enhancing and initially screening the small targets. After that,the original image and the background suppressed image are selected as the inputs for classification network which is used for the follow-up screening,and then the SEnet ( Squeeze-and-Excitation Networks) is used to select the feature maps. The experimental results show that the detection network is superior to multiple typical infrared small target detection methods and has an excellent result on different signal-to-noise ratio,different scenes and motion blur targets.","PeriodicalId":50181,"journal":{"name":"红外与毫米波学报","volume":"38 1","pages":"03371"},"PeriodicalIF":0.7,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66393872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Detection of ship targets based on CFAR-DCRF in single infrared remote sensing images","authors":"Wenyang Song, Yong Hu, D. Kuang, Cailan Gong, Wenqi Zhang, Shuo Huang","doi":"10.11972/J.ISSN.1001-9014.2019.04.019","DOIUrl":"https://doi.org/10.11972/J.ISSN.1001-9014.2019.04.019","url":null,"abstract":"","PeriodicalId":50181,"journal":{"name":"红外与毫米波学报","volume":"128 1","pages":"04520"},"PeriodicalIF":0.7,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66394001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Pub Date : 2019-01-01DOI: 10.11972/J.ISSN.1001-9014.2019.04.021
Hongbin Liu, M. Li, Feng Wang, Geng-hua Huang, Yi-Hua Hu
{"title":"A high accuracy multi-beam Lidar system and its verification on several photons","authors":"Hongbin Liu, M. Li, Feng Wang, Geng-hua Huang, Yi-Hua Hu","doi":"10.11972/J.ISSN.1001-9014.2019.04.021","DOIUrl":"https://doi.org/10.11972/J.ISSN.1001-9014.2019.04.021","url":null,"abstract":"","PeriodicalId":50181,"journal":{"name":"红外与毫米波学报","volume":"38 1","pages":"04535"},"PeriodicalIF":0.7,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66394136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Pub Date : 2019-01-01DOI: 10.11972/J.ISSN.1001-9014.2019.06.020
Yang Jin-fa, Y. Lei, Z. Hongying, Chen Rui, Zhang Rui-Hua, Shi Bo-Xin
{"title":"Shape from Polarization of low-texture objects with rough depth information","authors":"Yang Jin-fa, Y. Lei, Z. Hongying, Chen Rui, Zhang Rui-Hua, Shi Bo-Xin","doi":"10.11972/J.ISSN.1001-9014.2019.06.020","DOIUrl":"https://doi.org/10.11972/J.ISSN.1001-9014.2019.06.020","url":null,"abstract":"","PeriodicalId":50181,"journal":{"name":"红外与毫米波学报","volume":"38 1","pages":"819"},"PeriodicalIF":0.7,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66394361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Pub Date : 2017-01-01DOI: 10.11972/J.ISSN.1001-9014.2017.05.003
Yao Chang-Fei, C. Zhenhua, Ge Junxiang, Zhou Ming, Wei Xiang
{"title":"118 GHz single pole double throw switches using filter synthesis method","authors":"Yao Chang-Fei, C. Zhenhua, Ge Junxiang, Zhou Ming, Wei Xiang","doi":"10.11972/J.ISSN.1001-9014.2017.05.003","DOIUrl":"https://doi.org/10.11972/J.ISSN.1001-9014.2017.05.003","url":null,"abstract":"","PeriodicalId":50181,"journal":{"name":"红外与毫米波学报","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66393742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Pub Date : 2016-02-01DOI: 10.11972/j.issn.1001-9014.2016.01.002
Y. Jiao, Gao Mei-zhen
The effects of Ga doping on structural, electrical, and optical properties of hydrogenated ZnO-Ga (GZO) thin films deposited by sol-gel technique have been investigated. From the X-ray diffraction observations, the films doped with different gallium concentrations were found to be pure wurtzite-structured ZnO. The electrical properties of the hydrogen -annealed films were improved and a lowest resistivity of 3. 410 x 10(-3) Omega.cm was obtained. The refractive index and extinction coefficient of ZnO-Ga thin films were determined in the range of 270 1600 nm by varying angle spectroscopic ellipsometry (VASE). The simulation was carried out using a double oscillator model, which includes the Psemi-MO equation and the rho-tau Drude equation.
{"title":"Optical properties of hydrogenated ZnO-Ga thin films studied by spectroscopic ellipsometry","authors":"Y. Jiao, Gao Mei-zhen","doi":"10.11972/j.issn.1001-9014.2016.01.002","DOIUrl":"https://doi.org/10.11972/j.issn.1001-9014.2016.01.002","url":null,"abstract":"The effects of Ga doping on structural, electrical, and optical properties of hydrogenated ZnO-Ga (GZO) thin films deposited by sol-gel technique have been investigated. From the X-ray diffraction observations, the films doped with different gallium concentrations were found to be pure wurtzite-structured ZnO. The electrical properties of the hydrogen -annealed films were improved and a lowest resistivity of 3. 410 x 10(-3) Omega.cm was obtained. The refractive index and extinction coefficient of ZnO-Ga thin films were determined in the range of 270 1600 nm by varying angle spectroscopic ellipsometry (VASE). The simulation was carried out using a double oscillator model, which includes the Psemi-MO equation and the rho-tau Drude equation.","PeriodicalId":50181,"journal":{"name":"红外与毫米波学报","volume":"35 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66393635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Pub Date : 2015-01-01DOI: 10.11972/J.ISSN.1001-9014.2015.06.011
Tao Wang, Gang Liu, Suxu Zhou, Huichun Yang, B. Yan, Xiao Chen, Chongxiu Yu, X. Sang, F. Xiao, K. Alameh
A stable single-longitudinal-mode dual-wavelength( SLM-DW) multiple ring fiber laser with a tunable wavelength spacing was proposed and demonstrated. In the multiple ring cavities,the mode selection is made by the tunable digital micro-mirror device( DMD) filter and two different length passive sub-ring cavities. The DMD filter can select and couple any two wavelengths from the gain spectrum of the erbium-doped fiber( EDF). The SLM lasing is guaranteed by the two sub-ring cavities which serve as a mode filter. The stable and uniform dualwavelength oscillation is obtained by the highly-nonlinear photonic crystal fiber( HN-PCF),which can generate the four-wave-mixing( FWM) effective. By loading different gratings on the DMD filter without any mechanically shift,the tunable wavelength spacing from appropriately 0. 165 nm to 1. 08 nm within a tuning accuracy of 0. 055 nm is achieved at room temperature.
{"title":"A stable wavelength-spacing-tunable dual-wavelength single-longitudinal-mode fiber ring laser based on a DMD filter","authors":"Tao Wang, Gang Liu, Suxu Zhou, Huichun Yang, B. Yan, Xiao Chen, Chongxiu Yu, X. Sang, F. Xiao, K. Alameh","doi":"10.11972/J.ISSN.1001-9014.2015.06.011","DOIUrl":"https://doi.org/10.11972/J.ISSN.1001-9014.2015.06.011","url":null,"abstract":"A stable single-longitudinal-mode dual-wavelength( SLM-DW) multiple ring fiber laser with a tunable wavelength spacing was proposed and demonstrated. In the multiple ring cavities,the mode selection is made by the tunable digital micro-mirror device( DMD) filter and two different length passive sub-ring cavities. The DMD filter can select and couple any two wavelengths from the gain spectrum of the erbium-doped fiber( EDF). The SLM lasing is guaranteed by the two sub-ring cavities which serve as a mode filter. The stable and uniform dualwavelength oscillation is obtained by the highly-nonlinear photonic crystal fiber( HN-PCF),which can generate the four-wave-mixing( FWM) effective. By loading different gratings on the DMD filter without any mechanically shift,the tunable wavelength spacing from appropriately 0. 165 nm to 1. 08 nm within a tuning accuracy of 0. 055 nm is achieved at room temperature.","PeriodicalId":50181,"journal":{"name":"红外与毫米波学报","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66393555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Pub Date : 2013-02-03DOI: 10.3724/SP.J.1010.2012.00536
Yang Xi-guang, Yu Ying, Huang Haijun, Fan Wenyi
Hypespectral data was used to estimate leaf and canopy nitrogen content. Erf-BP, an improved model based on the Gaussian error function of BP neural network, was used to develop remote sensing models for estimating leaf nitrogen content. Then the scaling conversion function during downscales from canopy to leaf spectral was derived according to principles of geometric optics model. These relations were used during downscales from the canopy reflectance of Hyperion image to leaf spectral for leaf nitrogen content estimation. Finally, forest structural parameter leaf area index (LAI) was used to obtain canopy nitrogen content from leaf level. The results showed that the best Erf-BP. neural network model with testing accuracy of 76.8597% includes 8 neurons in hidden layer. Using scaling conversion function to estimate canopy spectra at 670nm and 865nm, correlations (R-2) between modeling spectra and measurements were 0.5203 and 0.4117 respectively. Correlation coefficient between estimated leaf nitrogen content and measurements was 0.7019. This method provides a good reference for more rapid and accurate estimation of leaf and canopy nitrogen.
{"title":"Estimation of forest canopy nitrogen content based on remote sensing","authors":"Yang Xi-guang, Yu Ying, Huang Haijun, Fan Wenyi","doi":"10.3724/SP.J.1010.2012.00536","DOIUrl":"https://doi.org/10.3724/SP.J.1010.2012.00536","url":null,"abstract":"Hypespectral data was used to estimate leaf and canopy nitrogen content. Erf-BP, an improved model based on the Gaussian error function of BP neural network, was used to develop remote sensing models for estimating leaf nitrogen content. Then the scaling conversion function during downscales from canopy to leaf spectral was derived according to principles of geometric optics model. These relations were used during downscales from the canopy reflectance of Hyperion image to leaf spectral for leaf nitrogen content estimation. Finally, forest structural parameter leaf area index (LAI) was used to obtain canopy nitrogen content from leaf level. The results showed that the best Erf-BP. neural network model with testing accuracy of 76.8597% includes 8 neurons in hidden layer. Using scaling conversion function to estimate canopy spectra at 670nm and 865nm, correlations (R-2) between modeling spectra and measurements were 0.5203 and 0.4117 respectively. Correlation coefficient between estimated leaf nitrogen content and measurements was 0.7019. This method provides a good reference for more rapid and accurate estimation of leaf and canopy nitrogen.","PeriodicalId":50181,"journal":{"name":"红外与毫米波学报","volume":"31 1","pages":"536-543"},"PeriodicalIF":0.7,"publicationDate":"2013-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69888210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
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