机构

• 地理科学与资源研究所 [4]
• 长春光学精密机械与物... [3]
• 数学与系统科学研究院 [3]
• 国家天文台 [3]
• 自动化研究所 [2]
• 昆明植物研究所 [1]
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采集方式

• OAI收割 [18]

内容类型

• 期刊论文 [16]
• 会议论文 [2]

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• 2021 [2]
• 2019 [3]
• 2018 [1]
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学科主题

• Biochemist... [1]
• Environmen... [1]

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浏览/检索结果: 共18条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Mapping Forest Types in China with 10 m Resolution Based on Spectral-Spatial-Temporal Features 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 5, 页码: 21 作者:  Cheng, Kai;  Wang, Juanle;  Yan, Xinrong   |  收藏  |  浏览/下载：49/0  |  提交时间：2021/06/10 forest type  spectral–  spatial–  temporal features  image composition  random forest algorithm  China   Mapping Forest Types in China with 10 m Resolution Based on Spectral-Spatial-Temporal Features 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 5, 页码: 21 作者:  Cheng, Kai;  Wang, Juanle;  Yan, Xinrong   |  收藏  |  浏览/下载：31/0  |  提交时间：2021/06/10 forest type  spectral–  spatial–  temporal features  image composition  random forest algorithm  China   Forest Type Classification Based on Integrated Spectral-Spatial-Temporal Features and Random Forest Algorithm-A Case Study in the Qinling Mountains 期刊论文  OAI收割 FORESTS, 2019, 卷号: 10, 期号: 7, 页码: 18 作者:  Cheng, Kai;  Wang, Juanle   |  收藏  |  浏览/下载：90/0  |  提交时间：2020/03/23 forest type  spectral-spatial-temporal features  random forest  random forest-recursive feature elimination  sentinel-2 time series   Forest Type Classification Based on Integrated Spectral-Spatial-Temporal Features and Random Forest Algorithm-A Case Study in the Qinling Mountains 期刊论文  OAI收割 FORESTS, 2019, 卷号: 10, 期号: 7, 页码: 18 作者:  Cheng, Kai;  Wang, Juanle   |  收藏  |  浏览/下载：23/0  |  提交时间：2020/03/23 forest type  spectral-spatial-temporal features  random forest  random forest-recursive feature elimination  sentinel-2 time series   Timing analysis of Swift J1658.2-4242's outburst in 2018 with Insight-HXMT, NICER and AstroSat 期刊论文  OAI收割 Journal of High Energy Astrophysics, 2019, 卷号: 24, 页码: 30-40 作者:  HXMT   |  收藏  |  浏览/下载：67/0  |  提交时间：2022/02/08 Accretion  accretion disks  Black hole physics  X-rays: binaries:  Swift J1658.2-4242  Astrophysics - High Energy Astrophysical Phenomena  Abstract: We present the observational results from a detailed timing analysis of the black hole candidate Swift J1658.2-4242 during its 2018 outburst with the observations of Hard X-ray Modulation Telescope (Insight-HXMT), Neutron Star Interior Composition Explorer (NICER) and AstroSat in 0.1-250 keV. The evolution of intensity, hardness and integrated fractional root mean square (rms) observed by Insight-HXMT and NICER are presented in this paper. Type-C quasi-periodic oscillations (QPOs) observed by NICER (0.8-3.5 Hz) and Insight-HXMT (1-1.6 Hz) are also reported in this work. The features of the QPOs are analyzed with an energy range of 0.5-50 keV. The relations between QPO frequency and other characteristics such as intensity, hardness and QPO rms are carefully studied. The timing and spectral properties indicate that Swift J1658.2-4242 is a black hole binary system. Besides, the rms spectra of the source calculated from the simultaneous observation of Insight-HXMT, NICER and AstroSat support the Lense-Thirring origin of the QPOs. The relation between QPO phase lag and the centroid frequency of Swift J1658.2-4242 reveals a near zero constant when < 4Hz and a soft phase lag at 6.68 Hz. This independence follows the same trend as the high inclination galactic black hole binaries such as MAXI J1659-152.   Electronic Level Alignment at an Indium Tin OxidePbI2 Interface and Its Applications for Organic Electronic Devices 期刊论文  OAI收割 Acs Applied Materials & Interfaces, 2018, 卷号: 10, 期号: 10, 页码: 8909-8916 作者:  Song, Q. G.;  Lin, T.;  Sun, X.;  Chu, B.;  Su, Z. S.   |  收藏  |  浏览/下载：27/0  |  提交时间：2019/09/17 lead iodide  n-type semiconductor  anode buffer layer  organic  electronic devices  light-emitting-diodes  near-infrared photodetectors  field-effect  transistors  transition-metal oxides  hole-injection layer  solar-cells  photovoltaic cells  buffer layer  delayed fluorescence  spectral  response  Science & Technology - Other Topics  Materials Science   An approach for detecting five typical vegetation types on the Chinese Loess Plateau using Landsat TM data 期刊论文  OAI收割 ENVIRONMENTAL MONITORING AND ASSESSMENT, 2015, 卷号: 187, 期号: 9, 页码: 577-592 作者:  Wang, Zhi-Jie;  Jiao, Ju-Ying;  Lei, Bo;  Su, Yuan 收藏  |  浏览/下载：31/0  |  提交时间：2016/01/19 Remote sensing  Vegetation type index  Vegetation index  Spectral bands  Yanhe watershed   The Radial Velocity Measurement Accuracy of Different Spectral Type Low Resolution Stellar Spectra at Different Signal-to-Noise Ratio 期刊论文  OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 卷号: 34, 期号: 2, 页码: 565-568 作者:  Wang Feng-fei;  Luo A-li;  Zhao Yong-heng 收藏  |  浏览/下载：24/0  |  提交时间：2016/11/28 Stellar spectra  Spectral type  Radial velocity  Measurement accuracy   A SPECTRAL METHOD FOR PANTOGRAPH-TYPE DELAY DIFFERENTIAL EQUATIONS AND ITS CONVERGENCE ANALYSIS 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL MATHEMATICS, 2009, 卷号: 27, 期号: 2-3, 页码: 254-265 作者:  Ali, Ishtiaq;  Brunner, Hermann;  Tang, Tao   |  收藏  |  浏览/下载：27/0  |  提交时间：2018/07/30 Spectral methods  Legendre quadrature formula  Pantograph-type delay differential equations  Error analysis  Exponential convergence   Level 0 and level 1 data processing for a type of hyper-spectral imager (EI CONFERENCE) 会议论文  OAI收割 2009 International Conference on Optical Instruments and Technology, OIT 2009, October 19, 2009 - October 21, 2009, Shanghai, China Li X.; Yan C. 收藏  |  浏览/下载：85/0  |  提交时间：2013/03/25 Hyper-spectral imaging (HSI) is a kind of optical remote sensor that can simultaneously obtain spatial and spectral information of ground targets. We are now designing a data processing system for a type of space-borne push-broom HSI  then it performs radiometric and spectral calibration based on the ground calibration results and onboard calibration collection. The detailed algorithms for bad pixel replacement  which has 128 spectral channels covering the spectral range from 400nm to 2500nm. With its large amount of spectral channels  radiometric and spectral calibration were presented. After processing  the HSI collects large volume of spectral imaging data need to be efficiently and accurately processed and calibrated. In this paper  the digital numbers downlinked from the spacecraft can be converted into at-sensor absolute spectral radiance of ground targets  the detailed Level 0 and Level 1 data processing steps for the HSI were presented. The Level 0 processing refers to a set of tasks performed on the data downlinked from the spacecraft  thus providing accurate quantified spectral imaging data for various applications. 2009 SPIE.  including decoding to extract science data  separating the science data into files corresponding to different tasks (e.g. ground imaging  dark imaging  and onboard calibration)  checking data integrity and instrument settings  data format conversion  and Level 0 files creation. The Level 1 processing performs several steps on Level 0 data. Firstly  it corrects the image artifacts (mostly the SWIR smear effect)  subtracts the dark background  and performs the bad pixel replacement according to the prelaunch measurement