机构

• 长春光学精密机械与物... [2]
• 遥感与数字地球研究所 [2]
• 南京土壤研究所 [2]
• 自动化研究所 [2]
• 西安光学精密机械研究... [2]
• 金属研究所 [1]
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采集方式

• OAI收割 [12]
• iSwitch采集 [2]

内容类型

• 期刊论文 [8]
• 会议论文 [6]

发表日期

• 2020 [1]
• 2019 [1]
• 2018 [1]
• 2015 [2]
• 2014 [1]
• 2013 [2]
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学科主题

筛选

浏览/检索结果: 共14条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Reflection grating spectrometer based on AOTF 会议论文  OAI收割 Beijing, China, 2019-12-03 作者:  Tang, Qian;  Zhang, Guo Qing;  Zhang, Chun Min;  Zhao, Bao Chang   |  收藏  |  浏览/下载：26/0  |  提交时间：2020/10/26 AOTF  hyper-spectral  reflection grating  infrared  atmosphere detecting   Assimilation of hyper-spectral AIRS brightness temperatures based on generalized variational assimilation and observation error re-estimation 期刊论文  OAI收割 JOURNAL OF INFRARED AND MILLIMETER WAVES, 2019, 卷号: 38, 期号: 4, 页码: 464-472 作者:  Wang Gen;  Zhang ZhengQuan;  Deng ShuMei;  Liu HuiLan   |  收藏  |  浏览/下载：17/0  |  提交时间：2021/02/26 CHANNEL SELECTION  RADIANCES  DIAGNOSIS  hyper-spectral  non-gaussian  generalized variational assimilation  observation error re-estimation  degrees of freedom for signal   An approach for hyperspectral image classification by optimizing SVM using self organizing map 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL SCIENCE, 2018, 卷号: 25, 页码: 252-259 作者:  Jain, Deepak Kumar;  Dubey, Surendra Bilouhan;  Choubey, Rishin Kumar;  Sinhal, Amit;  Arjaria, Siddharth Kumar   |  收藏  |  浏览/下载：41/0  |  提交时间：2019/12/16 Self organizing Map(SOM)  Support vector Machine(SVM)  Classification  Hyper-spectral image   Improved non-negative tensor Tucker decomposition algorithm for interference hyper-spectral image compression 期刊论文  OAI收割 science china-information sciences, 2015, 卷号: 58, 期号: 5 作者:  Wen Jia;  Zhao JunSuo;  Ma CaiWen;  Wang CaiLing 收藏  |  浏览/下载：65/0  |  提交时间：2015/04/03 interference hyper-spectral images  LASIS  three-dimensional lifting wavelet transform  non-negative tensor decomposition  image compression   Comparative Research on Estimating the Severity of Yellow Rust in Winter Wheat 期刊论文  OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 卷号: 35, 期号: 6, 页码: 192-201 作者:  Wang Jing;  Jing Yuan-shu;  Huang Wen-jiang;  Zhang Jing-cheng;  Zhao Juan 收藏  |  浏览/下载：29/0  |  提交时间：2016/04/20 Hyper-spectral  Yellow rust  Partial Least Square  BP neural network  Disease index   Spectral Response of Different Eroded Soils in Subtropical China: A Case Study in Changting County, China 期刊论文  OAI收割 Journal of Mountain Science, 2014, 卷号: 11, 期号: 3, 页码: 697-707 LIN Chen; ZHOU Sheng-lu; WU Shao-hua; ZHU Qing; DANG Qi 收藏  |  浏览/下载：32/0  |  提交时间：2014/05/06 Soil erosion  Erosion degree  Hyper-spectral  Aluminium oxides  Iron oxide  SOM   Anomaly detection in hyperspectral imagery based on low-rank and sparse decomposition 会议论文  OAI收割 Hong Kong, 2013 作者:  Cui, Xiaoguang;  Tian, Yuan;  Weng, Lubin;  Yang, Yiping   |  收藏  |  浏览/下载：22/0  |  提交时间：2016/10/26 Anomaly Detection  Hyper-spectral Imageries  Low-rank And Sparse Decompositions  Superpixels   基于SAM与SVM的高光谱遥感蚀变信息提取/Extraction of hyper-spectral remote sensing alteration information based on SAM and SVM[J] 期刊论文  OAI收割 计算机工程与应用, 2013, 卷号: 19, 页码: 141-146 作者:  阎继宁;  周可法;  王金林;  王珊珊;  汪玮   |  收藏  |  浏览/下载：29/0  |  提交时间：2017/12/29 光谱角匹配技术 支持向量机 高光谱 蚀变信息提取 相似矿物 Spectral Angle Mapper(Sam) Support Vector Machine(Svm) hyper-Spectral Alteration Information Extraction Similar Mineral   Removing the stripe noise in HJ-1A HSI images 会议论文  OAI收割 Remote Sensing of the Environment: The 17th China Conference on Remote Sensing Gao, Hailiang; Gu, Xingfa; Yu, Tao; Li, Xiaoying; Zhi, Jinging; Xie, Yujuan; Ma, Xiaohong 收藏  |  浏览/下载：18/0  |  提交时间：2014/12/07 Stripe noise  Destripe  Hyper-spectral imager  Spline interpolation  Moment matching  Fourier transform  HISTOGRAM-MODIFICATION   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：74/0  |  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