中国科学院机构知识库网格系统: 检索

综合集成高精度智能微震监测技术及其在深部岩石工程中的应用 期刊论文 OAI收割
岩土力学, 2020, 卷号: 41, 期号: 7, 页码: 2422
作者: 陈炳瑞; 冯夏庭; 符启卿; 王搏; 朱新豪

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收藏 | 浏览/下载：62/0 | 提交时间：2021/05/25

microseismic recognition algorithm location algorithm rockburst de-noising method rock engineering 微震识别算法定位算法岩爆滤噪岩石工程

Near real time de-noising of satellite-based soil moisture retrievals: An intercomparison among three different techniques 期刊论文 OAI收割
REMOTE SENSING OF ENVIRONMENT, 2017, 卷号: 198, 页码: 17-29
作者: Massari, Christian; Su, Chun-Hsu; Brocca, Luca; Sang, Yan-Fang; Ciabatta, Luca

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收藏 | 浏览/下载：26/0 | 提交时间：2019/09/25

De-noising Wavelet Satellite soil moisture observations Near real time

Multi-threshold de-noising of electrical imaging logging data based on the wavelet packet transform 期刊论文 OAI收割
JOURNAL OF GEOPHYSICS AND ENGINEERING, 2017, 卷号: 14, 期号: 4, 页码: 900-908
作者: Xie, Fang; Xiao, Chengwen; Liu, Ruilin; Zhang, Lili

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收藏 | 浏览/下载：25/0 | 提交时间：2017/11/24

wavelet packet transform multi-threshold de-noising electric imaging logging data fractured-vuggy carbonatite reservoir

Removing Random-Valued Impulse Noises by a Two-Staged Nonlinear Filtering Method 期刊论文 OAI收割
Transactions of Nanjing University of Aeronautics and Astronautics, 2016, 卷号: 33, 期号: 3, 页码: 329-338
作者: Ahmad Ashfaq; Lu Yanting

收藏 | 浏览/下载：17/0 | 提交时间：2017/01/17

image de-noising random-valued impulse noise nonlinear filter noisy pixel detection two-stage detection and correction method directional differences

Online Non-destructive Detection of Jujuble to Classify Infested and Intact Groups Based on Near Infrared Diffuse Reflection Spectra Analysis Technique 会议论文 OAI收割
2016 2nd International Conference on Mechanical, Electronic and Information Technology Engineering, Chongqing, China, May 21-22, 2016
作者: Zhang CX(张翠侠); Ma Y(马钺)

收藏 | 浏览/下载：24/0 | 提交时间：2016/09/13

Non-destructive detection Near infrared spectrometry Date pretreatment De-noising Wavelet transform Derivative Mahalanobis distance discriminant

基于RGB-D的室外行人检测研究 学位论文 OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院大学, 2015
朱新亮

收藏 | 浏览/下载：105/0 | 提交时间：2015/09/02

行人检测 RGB-D 图像配准深度图像去噪 Pedestrian Detection RGB-D Image Registration Depth Image De-noising

Improved continuous wavelet analysis of variation in the dominant period of hydrological time series SCI/SSCI论文 OAI收割
2013
作者: Wang D.

收藏 | 浏览/下载：14/0 | 提交时间：2014/12/24

hydrological series analysis continuous wavelet transform wavelet basis function multi-temporal scale wavelet spectrum period trend change points maximum entropy spectral analysis de-noising entropy spectral-analysis decomposition identification transform threshold model

A review on the applications of wavelet transform in hydrology time series analysis SCI/SSCI论文 OAI收割
2013
Sang Y. F.

收藏 | 浏览/下载：31/0 | 提交时间：2014/12/24

Hydrologic time series analysis Wavelet transform Periodicity Trend De-noising Complexity Hydrologic forecasting multiscale entropy analysis artificial neural-networks information-theory noise-reduction rainfall fields trend analysis river flow model uncertainty multiresolution

A novel de-noising method based on Independent Component Analysis(ICA) for DMD based Hadamard Transform Spectral Imager 会议论文 OAI收割
2011 cross strait quad-regional radio science and wireless technology conference, csqrwc 2011, harbin, china, july 27, 2011 - july 30, 2011
作者: HuBingLiang; LiuCaiFang; QianQingMing; TanXiaoBing

收藏 | 浏览/下载：16/0 | 提交时间：2012/07/09

De-Noising leA DMD Hadamard Transform PSNR

Far-field focusing of laser beam based on digital image processing techniques (EI CONFERENCE) 会议论文 OAI收割
Optoelectronic Imaging and Multimedia Technology, October 18, 2010 - October 20, 2010, Beijing, China
作者: Zhao S.; Tian Y.-Z.; Liu L.-S.; Guo J.; Zhang H.-Y.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

In order to lead the laser beam transmit in the atmosphere convergently an experiment of laser focus at the distance of 450m and 300m has been operated in the outdoor place. The actual manipulations are as follows: Firstly the laser was collimated by a beam expander then the near-parallel laser beam was transmitted with a Galileo telescope system and the distance between the concave lens and the convex lens can be tuned through a precise displacement platform so the focus of the system changed due to the tiny displacement of the concave lens. Secondly the average power of the laser spot can be measured using power meter the power is 47.67mW and the standard deviation is 0.67mW while the focal length is 450m. Thirdly the energy distribution was found through the laser beam analyzer. The spot images were saved using the beam analyzer then the saved image can be processed with Matlab software afterwards. The function named EDGE and Sobel operator was used in the pre-processing of the saved image then method of median filter was used in the course of image de-noising and 53H filter was adopted in the signal analysis. The diameter of laser spot was obtained by the method above the diameter is 5.56mm and the standard deviation is 0.24mm. The spot center excursion is 0.56mm it is 10.43% of the total diameter of the laser spot. At last the key factors of the energy dissipation in the focusing system can be summarized as follows: restriction of the diffraction limit attenuation in the atmosphere geometrical aberration of optical system and the diffraction limit and the geometrical aberration are significant in the three factors above so we can reduce the impact of the both factors during the design of optical system. The reliable referenced data of the system design can be acquired through the primary experiment research. 2010 SPIE.