Earth and Space From Infrared to Terahertz (ESIT 2022)最新文献_第2页

Helium Joule-Thomson cryocooler below 4.5 K for infrared detectors 用于红外探测器的低于4.5 K的氦焦耳-汤姆逊制冷机

Earth and Space From Infrared to Terahertz (ESIT 2022) Pub Date : 2023-01-31 DOI: 10.1117/12.2665290

Zhichao Chen, Shaoshuai Liu, Zhenhua Jiang, Lei Ding, Zheng Huang, Yinong Wu

引用次数: 0

Research on near infrared spectroscopy based on DMD 基于DMD的近红外光谱研究

Earth and Space From Infrared to Terahertz (ESIT 2022) Pub Date : 2023-01-31 DOI: 10.1117/12.2664753

Yujuan Liu, Yan-da Liu, Ying Song

引用次数: 0

A design method of flexible thermal strap for cryogenic optics based on pyrolytic graphite film 一种基于热解石墨薄膜的低温光学柔性热带设计方法

Earth and Space From Infrared to Terahertz (ESIT 2022) Pub Date : 2023-01-31 DOI: 10.1117/12.2665693

Jing Qian, Y. Cheng, Shukui Ma, Xiaoming Lu, Maotong Huang, Peng Rao, Yaopu Zou

{"title":"A design method of flexible thermal strap for cryogenic optics based on pyrolytic graphite film","authors":"Jing Qian, Y. Cheng, Shukui Ma, Xiaoming Lu, Maotong Huang, Peng Rao, Yaopu Zou","doi":"10.1117/12.2665693","DOIUrl":"https://doi.org/10.1117/12.2665693","url":null,"abstract":"Flexible thermal strap is a key component for space optical system to realize cold transfer, insulate vibration. The thermal link based on high thermal conductivity graphene film becomes a hot spot for this application. In order to reduce the loss in the heat transfer process, a study on the heat transfer performance and structural form of the thermal link made by pyrolytic graphite films (PGF) is carried out, the thermal resistance network model of the thermal strap is analyzed, the relationship between the heat transfer, the heat transfer temperature difference at the mounting surface and the number of graphite film layers is established by combining theoretical analysis and DOE design methods. A method for quickly determining the design parameters of the thermal strap is proposed. The PGF thermal strap designed according to this method achieves a small temperature difference which less than 1.7K between the cold tip and the simulated optical bench coupling surface, a length of 117mm for the strap, and a weight of only 60g, when it used to transfer 5W cooling capacity at 200K.","PeriodicalId":258680,"journal":{"name":"Earth and Space From Infrared to Terahertz (ESIT 2022)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123235436","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}

引用次数: 0

On-orbit performance of Fengyun-4A advanced geosynchronous radiation imager 风云- 4a先进地球同步辐射成像仪在轨性能

Earth and Space From Infrared to Terahertz (ESIT 2022) Pub Date : 2023-01-31 DOI: 10.1117/12.2665856

Boyang Chen, Changpei Han, Q. Guo, W. Hui, Qiong Wu, Xiuju Li, Yapeng Wu

{"title":"On-orbit performance of Fengyun-4A advanced geosynchronous radiation imager","authors":"Boyang Chen, Changpei Han, Q. Guo, W. Hui, Qiong Wu, Xiuju Li, Yapeng Wu","doi":"10.1117/12.2665856","DOIUrl":"https://doi.org/10.1117/12.2665856","url":null,"abstract":"The performance of the Advanced Geosynchronous Radiation Imager (AGRI) onboard the Fengyun-4 (FY-4) satellite was evaluated. The results showed that its performance has approached the international advanced level of similar instruments. A wavelet filter was designed to filter the striping noises of the AGRI, which come from the inconsistency of the spectrum and thus varies with the observed target. The non-uniformity of the whole image was evaluated by weighting the probability variance of its count values. After filtering, the infrared image of the AGRI had a uniform visual effect on a single channel, and the pattern noise was reduced to below 0.2 K, which ensures the uniformity of products such as cloud detection and sea temperature that use the infrared splitting window channels. Furthermore, the AGRI carries the surface source blackbody as the on-orbit radiation calibration benchmark and rotates the north-south scanning mirror to point to the blackbody to obtain the blackbody observation data in each infrared band. In the current mode, the infrared calibration is performed every 15 minutes. The long-term evaluation results showed that the radiation calibration accuracy of the infrared channels of the AGRI was better than 0.5 K, and some of the channels reached 0.2 K. In addition, the long-term monitoring of the sensitivity and radiative cooling of the AGRI has shown the on-orbit variation of the instrument, which provides a reference for the development of the subsequent instrument.","PeriodicalId":258680,"journal":{"name":"Earth and Space From Infrared to Terahertz (ESIT 2022)","volume":"697 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122970014","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}

引用次数: 0

Superpixel-based spatial weighted sparse nonnegative tensor factorization unmixing algorithm 基于超像素的空间加权稀疏非负张量分解解混算法

Earth and Space From Infrared to Terahertz (ESIT 2022) Pub Date : 2023-01-31 DOI: 10.1117/12.2665583

Ningyuan Zhang, Chengzhi Deng, Shaoquan Zhang, Fan Li, Pengfei Lai, Min Huang, Shengqian Wang

{"title":"Superpixel-based spatial weighted sparse nonnegative tensor factorization unmixing algorithm","authors":"Ningyuan Zhang, Chengzhi Deng, Shaoquan Zhang, Fan Li, Pengfei Lai, Min Huang, Shengqian Wang","doi":"10.1117/12.2665583","DOIUrl":"https://doi.org/10.1117/12.2665583","url":null,"abstract":"Hyperspectral unmixing aims to correctly estimate the endmembers and their corresponding abundance fractions in an HSI. Many hyperspectral unmixing methods have been proposed, including the longstanding geometry-based, statistics-based and non-negative matrix factorization (NMF)-based unmixing methods. The traditional NMF-based method expands the three-dimensional hyperspectral data into matrix form and decomposes it into the product of the endmember and the abundance, which causes a certain degree of information loss. The matrix-vector nonnegative tensor factorization algorithm solves this problem well by processing hyper-spectral data as a tensor and pioneers a new model based on tensor decomposition. However, such methods still suffer from underutilization of image information and unstable performance at low signal-to-noise ratios (SNR). To solve this problem, we proposed a new superpixel-based spatial weighted sparse nonnegative tensor factorization unmixing model (SupSWNTF), which better exploits the spatial information and improve the sparsity of the solution by adding constraints to the abundance matrix. A series of comparative experimental results on synthetic and real-world data sets show that our algorithm achieves the best unmixing results compared to other state-of-the-art algorithms.","PeriodicalId":258680,"journal":{"name":"Earth and Space From Infrared to Terahertz (ESIT 2022)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121756778","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}

引用次数: 0

Preliminary study on compound banlangen granules based on terahertz time-domain spectroscopy 基于太赫兹时域光谱的复方板蓝根颗粒的初步研究

Earth and Space From Infrared to Terahertz (ESIT 2022) Pub Date : 2023-01-31 DOI: 10.1117/12.2665562

Wei Xu, Xuan Dong, Zikun Zeng, Jie Shu, Hongzhu Xi

{"title":"Preliminary study on compound banlangen granules based on terahertz time-domain spectroscopy","authors":"Wei Xu, Xuan Dong, Zikun Zeng, Jie Shu, Hongzhu Xi","doi":"10.1117/12.2665562","DOIUrl":"https://doi.org/10.1117/12.2665562","url":null,"abstract":"The fingerprint technology of traditional Chinese medicine is a more effective method to ensure the quality stability of traditional Chinese medicine and control the quality of traditional Chinese medicine. As the core of fingerprint technology of traditional Chinese medicine, terahertz time-domain spectroscopy (THz-TDS) is very suitable for the detection of traditional Chinese medicine. In this paper, a free-space transmission terahertz time-domain spectroscopy system developed by us was used to detect the compound banlangen tablets. The absorption spectra and refractive index spectra of the compound banlangen tablets with different thicknesses, manufacturers and batches were studied. The results showed that: the difference in thickness, batch and manufacturer didn’t affect the terahertz characteristic absorption peak position of compound banlangen tablet, and there were two obvious absorption peaks (1.10THz, 1.17THz) in the tablets; the increase of the thickness caused the absorption peak of the tablet to become smaller and even disappear, and the refractive indexes of tablets with different thicknesses were also quite different; The absorption peaks of tablets with different batches were roughly the same, and the refractive indexes were slightly different; The absorption peaks and refractive indexes of tablets from different manufacturers were basically the same. The above work will help to improve the terahertz fingerprint of compound banlangen, and provide detection means and reference for enriching the quality standard of traditional Chinese medicine.","PeriodicalId":258680,"journal":{"name":"Earth and Space From Infrared to Terahertz (ESIT 2022)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123896703","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}

引用次数: 0

Dynamically tunable resonant strength in an electromagnetically induced transparency metasurface based on vanadium dioxide 基于二氧化钒的电磁感应透明超表面的动态可调谐共振强度

Earth and Space From Infrared to Terahertz (ESIT 2022) Pub Date : 2023-01-31 DOI: 10.1117/12.2665824

Linyu Yang, W. Wang, Yi Sun, Rong Yin

引用次数: 0

Observation of sunspots at He I 10830Å using a low-noise InGaAs infrared detector 用低噪声InGaAs红外探测器观测He I 10830Å太阳黑子

Earth and Space From Infrared to Terahertz (ESIT 2022) Pub Date : 2023-01-31 DOI: 10.1117/12.2664982

Baicheng Sun, Yongsheng Xiang, Mingxing Fan, Xiaoxia Gong, Bin Wang, Jie Guo, Fangyu Xu

引用次数: 0

Design and verification of partitional thermal control for space CMOS electric cabinet 空间CMOS电控箱分区热控制设计与验证

Earth and Space From Infrared to Terahertz (ESIT 2022) Pub Date : 2023-01-31 DOI: 10.1117/12.2666055

Jicai Rui, Qiaoyue Dong, Yujiao Liu, Wen Gao, Mingqian Shi

引用次数: 0

A hybrid approach for metal element identification by using laser-induced breakdown spectroscopy data 利用激光诱导击穿光谱数据进行金属元素鉴定的混合方法

Earth and Space From Infrared to Terahertz (ESIT 2022) Pub Date : 2023-01-31 DOI: 10.1117/12.2664527

Haofeng Zeng, Zhuoxiang Zhang, Sicong Liu

{"title":"A hybrid approach for metal element identification by using laser-induced breakdown spectroscopy data","authors":"Haofeng Zeng, Zhuoxiang Zhang, Sicong Liu","doi":"10.1117/12.2664527","DOIUrl":"https://doi.org/10.1117/12.2664527","url":null,"abstract":"Recycling scrap metal is an important way to protect the ecological environment. Design effective yet efficient techniques to automatically identify recyclable scrap metals is an important task within this topic. Due to the advantages of fast response and high accuracy, laser-induced breakdown spectroscopy (LIBS) recently played an important role in the mineral identification. However, the identification accuracy of peak-seeking is greatly affected by the data quality of the LIBS spectrum, whereas machine learning methods may be greatly affected by the number of training data. By considering the above open issues, this paper proposes a hybrid algorithm based on support vector machine (SVM) and element peak-seeking. By investing the identified difference of the major element (with the largest composition in the alloy) and the general element (with composition more than 1% in the alloy) between peak-seeking and SVM, three integration types (i.e., rejection, partial acceptance, complete acceptance) are defined. The final recognition result is generated according to different integration types and the corresponding integration methods. To verify the feasibility of the proposed approach, a simulated alloy LIBS database was established based on 31 metal elements and the simulated alloy LIBS data according to their compositions. Comparing with the result obtained by only using SVM, the proposed method greatly improved the recognition accuracy. The accuracy of identifying all general elements increased from 8% to 74.5%. Experimental results confirmed the effectiveness of the proposed method in identification of general metal elements in terms of higher detection accuracy.","PeriodicalId":258680,"journal":{"name":"Earth and Space From Infrared to Terahertz (ESIT 2022)","volume":"12505 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129378548","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}

引用次数: 0