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遥感学报 2009年第4期13卷 631-638页

作者： WANG Gui-ting, WANG You-liang, JIAO Li-cheng key laboratory of intelligent perception and image understanding of ministry of education of china, Institute of intelligent Information Processing, Xidian University, Shaanxi Xi’an 710071, china 西安电子科技大学智能信息处理研究所智能感知与图像理解教育部重点实验室陕西西安 710071

This paper proposes a novel automatic change detection approach for single band multi-temporal remote sensing images (MTRSI). First, the difference image is constructed by combining the spatial neighborhood information with the improved multiplying transform fusion (MTF) technique, which can well weaken noises and eliminate the effects caused by the registration error of multi-temporal images. In the segmentation processing of the difference image, the distributions of changed and unchanged classes are fitted by Rayleigh-Gauss models (RGM) and the probability densities of changed and unchanged pixels are estimated. Then the optimal change detection threshold is calculated automatically and effectively by the improved Kittler-Illingworth (KI) threshold selection algorithm. Finally, the changed regions are extracted. The experimental results obtained on the simulated MTRSI and the real MTRSI confirmed the effectiveness of the proposed approach. In particular, the results in terms of overall error and overall detected accuracy proved that the proposed generation approach of the difference image could have better performance than the MTF technique. In addition, as expected, the RGM was proved to be more suitable than the Gauss models (GM) and the Generalized-Gauss models (GGM) to fit the distributions of changed and unchanged classes. And the change detection experiments also confirmed that the proposed automatic threshold selection method based on RGM fitting technique could achieve the very similar performance to the optimal results exhibited by the supervised manual trial and error procedure (MTEP).

关键词： change detection spatial neighborhood analysis Rayleigh-Gauss models threshold selection

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Shearlet域非局部均值图像去噪

新型工业化 2011年第3期 63-71页

作者：张小华张强西安电子科技大学智能感知与图像理解教育部重点实验室

该文提出了一种基于主分量分析的shearlet域非局部均值图像去噪算法。该算法将主分量分析方法引入到shearlet域的非局部均值算法中,具体的在利用非局部均值算法处理shearlet分解得到的图像分量时通过主分量分析的方法降低图像分量的相... 详细信息

该文提出了一种基于主分量分析的shearlet域非局部均值图像去噪算法。该算法将主分量分析方法引入到shearlet域的非局部均值算法中,具体的在利用非局部均值算法处理shearlet分解得到的图像分量时通过主分量分析的方法降低图像分量的相似窗的维数,提高估计的准确度,然后利用广义高斯模型非局部均值的思想完成图像分量的去噪处理,最终完成图像分量去噪结果的重构。对图像的实验验证表明,噪声比较大的情况下该算法能够有效地降低图像的噪声及划痕效应,较完整的保持图像的细节信息。

关键词：图像去噪主成分分析离散shearlet变换非局部均值

杂波环境下基于meanshift的多目标数据关联

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系统仿真学报 2009年第11期21卷 3351-3355页

作者：韩红智建纬焦李成陈兆平西安电子科技大学智能信息处理研究所智能感知与图像理解教育部重点实验室西安710071

针对杂波背景下多目标的数据关联问题,提出了一种基于meanshift的多目标数据关联算法。该算法首次将meanshift用于多目标的数据关联问题中,首先对接收到的量测数据通过meanshift算法进行聚类处理,然后结合最近邻思想完成量测-航迹的关联... 详细信息

针对杂波背景下多目标的数据关联问题,提出了一种基于meanshift的多目标数据关联算法。该算法首次将meanshift用于多目标的数据关联问题中,首先对接收到的量测数据通过meanshift算法进行聚类处理,然后结合最近邻思想完成量测-航迹的关联,在目标密集或交叉的情况下,引入关联度的概念,与PDA相比,在提高关联精度的同时,也降低了计算量。蒙特卡罗仿真结果验证了该算法的可行性和有效性。

关键词：多目标数据关联杂波 meanshift 关联度

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一种多尺度和聚类分析的变化检测

新型工业化 2011年第3期 72-79页

作者：张小华王乐西安电子科技大学智能感知与图像理解教育部重点实验室

针对多时相遥感影像变化检测问题,提出了一种多尺度和聚类分析的变化检测方法。该方法在差异影像的基础上,利用均值平移算法对差值法构造的差异影像进行平滑,结合平稳小波变换对平滑后的差异图像做两层的小波分解,由此构造由平滑后的差... 详细信息

针对多时相遥感影像变化检测问题,提出了一种多尺度和聚类分析的变化检测方法。该方法在差异影像的基础上,利用均值平移算法对差值法构造的差异影像进行平滑,结合平稳小波变换对平滑后的差异图像做两层的小波分解,由此构造由平滑后的差异图像以及提取的小波系数组成的特征向量,用K均值聚类对特征向量分类,通过区域生长将各类合并得到变化检测结果。仿真结果说明:该方法能够有效的克服环境因素和配准误差造成的噪声干扰,提高变化信息的检测率。

关键词：变化检测差异影像均值平移平稳小波变换(SWT) K均值聚类区域生长

Finite-Time Stability of Stochastic Systems via Vector Lyapunov Functions

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Finite-Time Stability of Stochastic Systems via Vector Lyapu...

Consensus-Based Adaptive Control for Systems with Different Tracking Tasks

第三十届中国控制会议

作者： CHEN Weisheng~(1,2),SHAO Jingping~1 1.Department of Mathematics,Xidian Univerisy,Xi’an 710071,P.R.china 2.key laboratory of intelligent perception and image understanding of ministry of education of china,Xidian University,Xi’an, 710071,P.R.china

This paper addresses stochastic flnite-time stability based on vector Lyapunov *** sufficient conditions are given to verify the stochastic flnite-time stability of stochastic *** example is provided to demonstrate th... 详细信息

关键词： Stochastic Finite-Time Stability Stochastic Systems Vector Lyapunov Function

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Consensus-Based Adaptive Control for Systems with Different ...

Fully sprayed MXene-based high-performance flexible piezoresistive sensor for image recognition

第三十届中国控制会议

作者： CHEN Weisheng~(1,2),WU Jian~1 1.Department of Mathematics,Xidian Univerisy,Xi''an,710071,P.R.china 2.key laboratory of intelligent perception and image understanding of ministry of education of china,Xidian University,Xi''an 710071, P.R.china

＜正＞This paper focuses on applying the existing consensus idea to adaptive control design.A novel adaptive control approach,called consensus-based adaptive control（CBAC）,is proposed for parametric large-scale *** is assumed that in each subsystems the unknown parameter vectors are same,but the tracking tasks are *** subsystems can use communication networks to exchange their learning information instead of their *** cases of communication topologies are investigated in this *** is proved in each case that the estimate of unknown parameters in all subsystems can converge to a common constant vector and all subsystems can asymptotically achieve the tracking tasks.A simulation example is provided to illustrate the effectiveness of the control scheme proposed in this paper.

关键词： Consensus-based adaptive control parameterized large-scale systems communication topology Lyapunov function

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Nano Materials Science 2024年第1期6卷 77-85页

作者： Zhi-Dong zhang Xue-Feng Zhao Qing-Chao zhang Jie Liang Hui-Nan zhang Tian-Sheng zhang Chen-Yang Xue key laboratory of Instrumentation Science&Dynamic Measurement of ministry of education North University of ChinaTaiyuan030051People's Republic of China State key laboratory of ASIC and System Shanghai Institute of Intelligent Electronics&SystemsSchool of MicroelectronicsFudan UniversityShanghai200433People's Republic of China Shanxi Hosipital of Acupuncture and Moxibustion Taiyuan030006People's Republic of China

High-performance flexible pressure sensors provide comprehensive tactile perception and are applied in human activity monitoring,soft robotics,medical treatment,and human-computer ***,these flexible pressure sensors require extensive nano-architectural design and complicated manufacturing and are ***,a highly sensitive,flexible piezoresistive tactile sensor is designed and fabricated,consisting of three main parts:the randomly distributed microstructure on T-ZnOw/PDMS film as a top substrate,multilayer Ti_(3)C_(2)-MXene film as an intermediate conductive filler,and the few-layer Ti_(3)C_(2)-MXene nanosheetbased interdigital electrodes as the bottom *** MXene-based piezoresistive sensor with randomly distributed microstructure exhibits a high sensitivity over a broad pressure range(less than 10 kPa for 175 kPa^(-1))and possesses an out-standing permanence of up to 5000 ***,a 16-pixel sensor array is designed,and its potential applications in visualizing pressure distribution and an example of tactile feedback are *** fully sprayed MXene-based pressure sensor,with high sensitivity and excellent durability,can be widely used in,electronic skin,intelligent robots,and many other emerging technologies.

关键词： Piezoresistive sensor Ti_(3)C_(2)-MXene T-ZnOw/PDMS film Randomly distributed microstructure

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Exploring the Cation Regulation Mechanism for Interfacial Water Involved in the Hydrogen Evolution Reaction by In Situ Raman Spectroscopy

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Nano-Micro Letters 2024年第3期16卷 303-312页

作者： Xueqiu You Dongao zhang Xia‑Guang zhang Xiangyu Li Jing‑Hua Tian Yao‑Hui Wang Jian‑Feng Li School of Ocean Information Engineering Fujian Provincial Key Laboratory of Oceanic Information Perception and Intelligent ProcessingJimei UniversityXiamen 361021People’s Republic of China State key laboratory of Physical Chemistry of Solid Surfaces MOE Key Laboratory of Spectrochemical Analysis and InstrumentationiChEMCollege of Chemistry and Chemical EngineeringCollege of MaterialsCollege of EnergyXiamen UniversityXiamen 361005People’s Republic of China key laboratory of Green Chemical Media and Reactions Ministry of EducationCollaborative Innovation Center of Henan Province for Green Manufacturing of Fine ChemicalsCollege of Chemistry and Chemical EngineeringHenan Normal UniversityXinxiang 453007People’s Republic of China Innovation laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM) Xiamen 361005People’s Republic of China

Interfacial water molecules are the most important participants in the hydrogen evolution reaction(HER).Hence,understanding the behavior and role that interfacial water plays will ultimately reveal the HER ***,investigating interfacial water is extremely challenging owing to the interference caused by bulk water molecules and complexity of the interfacial ***,the behaviors of interfacial water in different cationic electrolytes on Pd surfaces were investigated by the electrochemistry,in situ core-shell nanostructure enhanced Raman spectroscopy and theoretical simulation *** spectral evidence reveals a red shift in the frequency and a decrease in the intensity of interfacial water as the potential is shifted in the positively *** comparing the different cation electrolyte systems at a given potential,the frequency of the interfacial water peak increases in the specified order:Li+

关键词： In situ Raman Interfacial water Hydrogen evolution reaction Cations

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CVTD: A Robust Car-Mounted Video Text Detector

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Computers, Materials & Continua 2024年第2期78卷 1821-1842页

作者： Di Zhou Jianxun zhang Chao Li Yifan Guo Bowen Li Department of Computer Science and Engineering Chongqing University of TechnologyChongqingChina College of Information and Engineering Jingdezhen Ceramic UniversityJingdezhenChina

Text perception is crucial for understanding the semantics of outdoor scenes,making it a key requirement for building intelligent systems for driver assistance or autonomous *** information in car-mounted videos can assist drivers in making ***,Car-mounted video text images pose challenges such as complex backgrounds,small fonts,and the need for real-time *** proposed a robust Car-mounted Video Text Detector(CVTD).It is a lightweight text detection model based on ResNet18 for feature extraction,capable of detecting text in arbitrary *** model efficiently extracted global text positions through the Coordinate Attention Threshold Activation(CATA)and enhanced the representation capability through stacking two Feature Pyramid Enhancement Fusion Modules(FPEFM),strengthening feature representation,and integrating text local features and global position information,reinforcing the representation capability of the CVTD *** enhanced feature maps,when acted upon by Text Activation Maps(TAM),effectively distinguished text foreground from non-text ***,we collected and annotated a dataset containing 2200 images of Car-mounted Video Text(CVT)under various road conditions for training and evaluating our model’s *** further tested our model on four other challenging public natural scene text detection benchmark datasets,demonstrating its strong generalization ability and real-time detection *** model holds potential for practical applications in real-world scenarios.

关键词： Deep learning text detection Car-mounted video text detector intelligent driving assistance arbitrary shape text detector