中国科学院机构知识库网格系统: 检索

Application of positive pulse to extract ions from HiPIMS ionization region 期刊论文 OAI收割
VACUUM, 2022, 卷号: 204, 页码: 11
作者: Li, Liuhe; Gu, Jiabin; Xu Y(许亿); Han, Mingyue; Bilek, MarcelaMilenaMarie

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收藏 | 浏览/下载：32/0 | 提交时间：2022/12/20

High power impulse magnetron sputtering (HiPIMS) Ions extraction method PIC-MCC simulation Microscopic mechanism of ions extraction

Identifying deep ore bodies using the Multi-Channel Transient Electromagnetic Method (MTEM) : an example of a lead-zinc-silver mine in Inner Mongolia 期刊论文 OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2019, 卷号: 62, 期号: 5, 页码: 1981-1990
作者: Ouyang Tao; Di QingYun; Xue GuoQiang; Lei Da

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收藏 | 浏览/下载：57/0 | 提交时间：2019/06/10

Deep ore body Lead-zinc-silver mine Multi-Channel Transient Electromagnetic Method(MTEM) Earth impulse response

Study on MTEM frequency-domain ratio method and apparent resistivity calculation 期刊论文 OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2018, 卷号: 61, 期号: 10, 页码: 4171-4181
作者: Zhang WenWei; Zhen QiHui; Di QingYun

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收藏 | 浏览/下载：36/0 | 提交时间：2018/12/11

MTEM Frequency-domain ratio method Earth impulse response Peak time Apparent resistivity

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：22/0 | 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

An automatic and effective approach in identifying tower cranes 会议论文 OAI收割
Fourth International Conference on Digital Image Processing, Bellingham
Yu, Bo; Niu, Zheng; Wang, Li; Liu, Yaqi

收藏 | 浏览/下载：19/0 | 提交时间：2014/12/07

Morphological method object identification geometrical characters tower cranes image segmentation IMAGE SEGMENTATION IMPULSE NOISE

Aerodynamics of indirect thrust measurement by the impulse method 期刊论文 OAI收割
Acta Mechanica Sinica, 2011, 卷号: 27, 期号: 2, 页码: 152-163
作者: Wu CK(吴承康); Wang HX(王海兴); Meng X(孟显); Chen X(陈熙); Pan WX(潘文霞)

收藏 | 浏览/下载：30/0 | 提交时间：2012/01/06

Thrust measurement Impulse method Aerodynamic features Cold jet Arc-heated jet

Electro-optical imaging system identification using pseudo-random binary pattern (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Le Y.; Jian W.; Jianzhong Z.; Qiang S.; Jianzhuo L.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

A method using pseudo-random binary pattern is developed for electro-optical imaging system identification. The imaging system is taken as a stable linear time-invariant and causal filter and its transfer function is measured through the pseudo-random binary sequence impulse responses identification. A digital mirror device (DMD) light projector is developed as the target generator and wavelet thresholding is used to denoise the captured image. Pre-filtering spectral estimation algorithm with adaptive parameter selection is also proposed for the identification process overcoming the challenge brought by the size limit derived from the optical isoplantic region. Simulations and experiments are presented to show the effectiveness of the proposed method.0-64. 2010 IEEE.

Timing generator of scientific grade CCD camera and its implementation based on FPGA technology (EI CONFERENCE) 会议论文 OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, April 26, 2010 - April 29, 2010, Dalian, China
作者: Li Y.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：38/0 | 提交时间：2013/03/25

The Timing Generator's functions of Scientific Grade CCD Camera is briefly presented: it generates various kinds of impulse sequence for the TDI-CCD video processor and imaging data output acting as the synchronous coordinator for time in the CCD imaging unit. The IL-E2TDI-CCD sensor produced by DALSA Co.Ltd. use in the Scientific Grade CCD Camera. Driving schedules of IL-E2 TDI-CCD sensor has been examined in detail the timing generator has been designed for Scientific Grade CCD Camera. FPGA is chosen as the hardware design platform schedule generator is described with VHDL. The designed generator has been successfully fulfilled function simulation with EDA software and fitted into XC2VP20-FF1152 (a kind of FPGA products made by XILINX). The experiments indicate that the new method improves the integrated level of the system. The Scientific Grade CCD camera system's high reliability stability and low power supply are achieved. At the same time the period of design and experiment is sharply shorted. 2010 Copyright SPIE - The International Society for Optical Engineering.

A new approach for the removal of mixed noise based on wavelet transform (EI CONFERENCE) 会议论文 OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
作者: Li Y.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：44/0 | 提交时间：2013/03/25

This paper proposed a new approach for the removal of mixed noise. There are many different ways in image denoising. Donoho et al have proposed a method for image de-noising by thresholding ambiguity is often resulted in determining the correspondence of a modulus maximum to a singularity. In the light and indeed we combine the merits of the two techniques to form a new approach for the removal of mixed noise. At first the application of their method to image denoising has been extremely successful. But the method of Donoho is based on the assumption that the type of noise is only additive Gaussian noise we used wavelet singularity detection (WSD) technique to analyze singularities of signal and noise. According to the characteristic that wavelet transform modulus maxima of impulse noise rapidly decreases as the scale increases in wavelet domain which is not successful for impulse noise. Mallat has also presented a method for signal denoising by discriminating the noise and the signal singularities through an analysis of their wavelet transform modulus maxima (WTMM). Nevertheless it can be accurately located with multiscale space by going through dyadic orthogonal wavelet transform and removed. Furthermore the Gaussian noise is also removed through a level-dependent thresholding algorithm the tracing of WTMM is not just tedious procedure computationally algorithm. The experimental results demonstrate that the proposed method can effectively detect impulse noise and remove almost all of the noise while preserve image details very well.

Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文 OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者: Wang X.; Yang H.-J.; Sui Y.-X.; Yan F.; Yan F.

收藏 | 浏览/下载：34/0 | 提交时间：2013/03/25

Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality symmetry compact support and vanishing moment which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First a decomposition step is taken with the DMWT. After the decomposition step a pyramid for each source image in each level can be obtained. Then an optimized coefficient fusion rule consisting of activity level measurement coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.