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Microstructures and Key Properties of Mechanically Deposited Zn-Al Coatings

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Chinese Journal of Mechanical Engineering 2009年第4期22卷 608-613页

作者： WANG Shengmin he mingyi ZHAO Xiaojun PENG Zenghua LIU Li Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming 650093 China Faculty of Chemistry and Biotechnology Yunnan Nationalities University Kunming 650031 China

Zn-Al coatings can provide protection to exposed steel parts in most environments. For this reason, the investigation of Zn-Al coatings become very popular in recent years. In order to study the microstructures and properties of mechanically deposited Zn-Al coating, zinc powders and aluminum powders were used to deposit Zn-AI coating by mechanical plating. The microstruetures, phase constitutes and compositions of the coating were observed and analyzed with optical microscopy （OM）, scanning electron microscopy（SEM）, X-ray diffraction（XRD） and X-ray energy-dispersive spectroscopy（EDS）. The results of observation show that the coating consists of almost spherically shaped zinc particles point contacting with each other; the coatings are composed of zinc particles, aluminum particles, interstice, and tin; extra fine zinc powders and some smaller interspersed inclusions are positioned in the interstices. Porosity and thickness of the coating were tested by ferroxyl test and magnetic method. The corrosion resistance of coatings was studied by neutral salt spraying test（NSS）, immersion test and electrochemical polarization. It is found that the thickness of the coating dose lacks uniformity, with an uneven thickness distribution and an average variation of approximately 2-5gm; the coating can afford cathodic protection to the steel substrate; the corrosion resistance of Zn-Al coatings is better than that of the mechanically plated zinc coatings with same thickness. These conclusions can be applied to improve anti-corrosion performance by mechanically deposit Zn-Al coatings.

关键词： mechanical plating Zn-Al coatings microstructure porosity corrosion resistance

MULTI-SPECTRAL AND HYPERSPECTRAL IMAGE FUSION USING 3-D WAVELET TRANSFORM

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Journal of Electronics(China) 2007年第2期24卷 218-224页

作者： Zhang Yifan he mingyi School of Electronics and Information Shaanxi Key Laboratory of Information Acquisition and Processing Northwestern Polytechnical Univcrsity Xi＇an 710072 China

Image fusion is performed between one band of multi-spectral image and two bands of hyperspectral image to produce fused image with the same spatial resolution as source multi-spectral image and the same spectral resolution as source hyperspeetral image. According to the characteristics and 3-Dimensional （3-D） feature analysis of multi-spectral and hyperspectral image data volume, the new fusion approach using 3-D wavelet based method is proposed. This approach is composed of four major procedures： Spatial and spectral resampling, 3-D wavelet transform, wavelet coefficient integration and 3-D inverse wavelet transform. Especially, a novel method, Ratio Image Based Spectral Resampling （RIBSR）method, is proposed to accomplish data resampling in spectral domain by utilizing the property of ratio image. And a new fusion rule, Average and Substitution （A＆S） rule, is employed as the fusion rule to accomplish wavelet coefficient integration. Experimental results illustrate that the fusion approach using 3-D wavelet transform can utilize both spatial and spectral characteristics of source images more adequately and produce fused image with higher quality and fewer artifacts than fusion approach using 2-D wavelet transform. It is also revealed that RIBSR method is capable of interpolating the missing data more effectively and correctly, and A＆S rule can integrate coefficients of source images in 3-D wavelet domain to preserve both spatial and spectral features of source images more properly.

关键词： Image fusion 3-Dimensional (3-D) wavelet transform Multi-spectral Hyperspectral

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自适应分割的动态网格生成算法

计算机辅助设计与图形学学报 2005年第7期17卷 1434-1439页

作者：王健何明一西北工业大学陕西省信息获取与处理重点实验室西安710072

提出一种基于半边数据结构的动态网格自适应分割生成算法·根据曲面尖锐特征对网格模型自适应分割;为满足分割边界的简化要求,提出一种利用半边数据结构的分割边界独立处理算法;并利用边界自适应加权函数,较好地保持了模型边界特征·应... 详细信息

提出一种基于半边数据结构的动态网格自适应分割生成算法·根据曲面尖锐特征对网格模型自适应分割;为满足分割边界的简化要求,提出一种利用半边数据结构的分割边界独立处理算法;并利用边界自适应加权函数,较好地保持了模型边界特征·应用实例表明,该算法高效、可靠,既保持模型细节特征,又减少了模型简化误差·

关键词：网格简化二次误差测度细节层次尖锐特征自适应分割

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最低敏感度滤波器的四端口参数设计法

西北工业大学学报 1986年第4期4卷 457-467页

作者：何明一西北工业大学

仅含两个储能元件的双二阶电路(Biquad Circuits)足以实现各种滤波器[5],本文把它们归纳为L—R—C、C—R—C及L—R—L三类,从降低敏感度S_x~p出发,使用四端口线性电阻网络G的直流参数对其进行了分析、设计。研究结果表明:传递函数H(S)... 详细信息

仅含两个储能元件的双二阶电路(Biquad Circuits)足以实现各种滤波器[5],本文把它们归纳为L—R—C、C—R—C及L—R—L三类,从降低敏感度S_x~p出发,使用四端口线性电阻网络G的直流参数对其进行了分析、设计。研究结果表明:传递函数H(S)和敏感度S_x~p可用G的7个直流四端口参数准确表示,同时把对H(s)的设计转化成对G的设计,而后者十分容易;当网络的两个等效时间常数相等时,S_x~p取得最小值。文中给出了高通、低通、带通、带阻及全通滤波器的最低敏感度设计公式、步骤,这不但是关于ω、Q的一种最优设计,还免除了广泛寻优的麻烦。此外,这种四端口法还可用于某些四端口“黑箱”的分析之中。

关键词：敏感度传递函数转移函数电子设备滤波器端口

一种基于对应分析的WorldView-2遥感图像融合算法

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西北工业大学学报 2012年第6期30卷 926-930页

作者：李旭何明一西北工业大学电子信息学院陕西西安710129

文章针对新型WorldView-2遥感图像提出了一种基于对应分析的全色光与多光谱图像融合新算法。该算法利用对应分析将八波段多光谱图像变换至成分空间,然后通过成分图像将全色光图像的空间细节信息注入成分空间,经反变换后得到融合结果。... 详细信息

文章针对新型WorldView-2遥感图像提出了一种基于对应分析的全色光与多光谱图像融合新算法。该算法利用对应分析将八波段多光谱图像变换至成分空间,然后通过成分图像将全色光图像的空间细节信息注入成分空间,经反变换后得到融合结果。实验结果表明,该算法在融合World-View-2遥感图像时能够在提高空间分辨率和保持光谱信息方面达到较好的平衡,优于现有的几种融合算法。

关键词：图像融合对应分析多光谱图像全色光图像

GENERALIZED INVERSE GROUP OF SIGNAL AND ITS IMPLEMENTATION WITH NEURAL NETWORKS

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Journal of Electronics(China) 1994年第1期11卷 1-10页

作者：何明一 Neural Network Research Laboratory Northwestern Polytechnic University Xi'an 710072

A new concept, the generalized inverse group (GIG) of signal, is firstly proposed and its properties, leaking coefficients and implementation with neural networks are presented. Theoretical analysis and computational simulation have shown that (1) there is a group of finite length of generalized inverse signals for any given finite signal, which forms the GIG; (2) each inverse group has different leaking coefficients, thus different abnormal states; (3) each GIG can be implemented by a grouped and improved single-layer perceptron which appears with fast convergence. When used in deconvolution, the proposed GIG can form a new parallel finite length of filtering deconvolution method. On off-line processing, the computational time is reduced to O(N) from O(N2). And the less the leaking coefficient is, the more reliable the deconvolution will be.

关键词： Signal processing Neural networks Generalized inverse group Deconvolution

Salient Object Detection from Multi-spectral Remote Sensing Images with Deep Residual Network

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Journal of Geodesy and Geoinformation Science 2019年第2期2卷 101-110页

作者： Yuchao DAI Jing ZHANG mingyi he Fatih PORIKLI Bowen LIU School of Electronics and Information NorthwesternPolytechnical University Shaanxi Key Lab of Information Acquisition and Processing Xi’an 710129 China Research School of Engineering the Australian National University Canberra 2601 Australia

alient object detection aims at identifying the visually interesting object regions that are consistent with human perception. Multispectral remote sensing images provide rich radiometric information in revealing the physical properties of the observed objects, which leads to great potential to perform salient object detection for remote sensing images. Conventional salient object detection methods often employ handcrafted features to predict saliency by evaluating the pixel-wise or superpixel-wise contrast. With the recent use of deep learning framework, in particular, fully convolutional neural networks, there has been profound progress in visual saliency detection. However, this success has not been extended to multispectral remote sensing images, and existing multispectral salient object detection methods are still mainly based on handcrafted features, essentially due to the difficulties in image acquisition and labeling. In this paper, we propose a novel deep residual network based on a top-down model, which is trained in an end-to-end manner to tackle the above issues in multispectral salient object detection. Our model effectively exploits the saliency cues at different levels of the deep residual network. To overcome the limited availability of remote sensing images in training of our deep residual network, we also introduce a new spectral image reconstruction model that can generate multispectral images from RGB images. Our extensive experimental results using both multispectral and RGB salient object detection datasets demonstrate a significant performance improvement of more than 10% improvement compared with the state-of-the-art methods.

关键词： deep residual network salient object detection top-down model remote sensing image processing

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机械镀锌快速活化工艺

金属热处理 2000年第6期25卷 21-23页

作者：刘丽何明奕云南民族学院化学系云南昆明650031 昆明理工大学材料保护研究所云南昆明650093

机械镀锌工艺中起关键作用的是锌粉团在工件上的吸附、强化和稳定这一过程可以提高沉积速度。采用表面活性剂复合成新的活化剂 ,使得被镀表面与锌粉团之间始终保持吸附电位差 ,形成金属粉快速而稳定地沉积 ;采用非锡类金属盐和无机酸式... 详细信息

机械镀锌工艺中起关键作用的是锌粉团在工件上的吸附、强化和稳定这一过程可以提高沉积速度。采用表面活性剂复合成新的活化剂 ,使得被镀表面与锌粉团之间始终保持吸附电位差 ,形成金属粉快速而稳定地沉积 ;采用非锡类金属盐和无机酸式氨盐复合成沉积剂 ,利用金属离子还原的引导作用和氨基的络合作用使镀层细化 ,结合强度提高。

关键词：机械镀锌表面活性剂快速活化工业

基于局部空间线性恢复模型的多光谱与全色图像融合算法

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西北工业大学学报 2008年第1期26卷 57-63页

作者：张易凡何明一西北工业大学电子信息学院陕西西安710072

建立了同一场景不同空间分辨率图像间的局部空间线性恢复模型(LSLRM),并将其应用于多光谱(MS)和全色(Pan)图像的融合,提出了基于LSLRM的MS和Pan图像融合算法。该算法以HIS变换和冗余小波变换为分析工具对参与融合的源图像的光谱和空间... 详细信息

建立了同一场景不同空间分辨率图像间的局部空间线性恢复模型(LSLRM),并将其应用于多光谱(MS)和全色(Pan)图像的融合,提出了基于LSLRM的MS和Pan图像融合算法。该算法以HIS变换和冗余小波变换为分析工具对参与融合的源图像的光谱和空间信息以及空间高、低频信息进行分离,并在相应的图像分量之间建立LSLRM,从而完成融合步骤。实验结果表明,该融合算法能够以较为合理的时间开销有效地保留MS和Pan图像中的光谱和空间特征,引起较小的光谱畸变,还能够根据实际需要设定软/硬阈值,以获得更合适的融合图像。

关键词：多光谱图像全色图像图像融合局部空间线性恢复模型