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Deep learning for change detection in remote sensing:a review

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Geo-Spatial Information Science 2023年第3期26卷 262-288页

作者： Ting Bai le wang Dameng Yin Kaimin Sun Yepei Chen Wenzhuo Li Deren Li Project Planning Department Wuhan Land Arranging Storage CenterWuhanChina Department of Geography University at BuffaloThe State University of New YorkBuffaloUSA Institute of Crop Sciences Chinese Academy of Agricultural SciencesBeijingChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina School of Computer Science Hubei University of TechnologyWuhanChina Collaborative Innovation Center of Geospatial Technology Wuhan UniversityWuhanChina

A large number of publications have incorporated deep learning in the process of remote sensing change *** these Deep learning Change Detection(DLCD)publications,deep learning methods have demonstrated their superiority over conventional change detection ***,the theoretical underpinnings of why deep learning improves the performance of change detection remain *** of today,few in-depth reviews have investigated the mechanisms of *** such a review,five critical questions remain *** DLCD provide improved information representation for change detection?If so,how?How to select an appropriate DLCD method and why?How much does each type of change benefits from DLCD in terms of its performance?What are the major limitations of existing DLCD methods and what are the prospects for DLCD?To address these five questions,we reviewed according to the following *** grouped the DLCD information assemblages into the four unique dimensions of remote sensing:spectral,spatial,temporal,and *** the extraction of information in each dimension,the difference between DLCD and conventional change detection methods was *** proposed a taxonomy of existing DLCD methods by dividing them into two distinctive pools:separate and coupled *** advantages,limitations,applicability,and performance were thoroughly investigated and explicitly *** examined the variations in performance between DLCD and conventional change *** depicted two limitations of DLCD,*** sample and hardware and software *** on these analyses,we identified directions for future *** a result of our review,we found that DLCD’s advantages over conventional change detection can be attributed to three factors:improved information representation;improved change detection methods;and performance *** has to surpass the limitations with regard to training samples and computing infrastructure.

关键词： Deep learning change detection remote sensing review information representation

leaching of lead from zinc leach residue in acidic calcium chloride aqueous solution

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International Journal of Minerals,Metallurgy and Materials 2015年第5期22卷 460-466页

作者： le wang Wen-ning Mu Hong-tao Shen Shao-ming Liu Yu-chun Zhai School of Materials and Metallurgy Northeastern University School of Resources and Materials Northeastern University at Qinghuangdao

A process with potentially reduced environmental impacts and occupational hazards of lead-bearing zinc plant residue was studied to achieve a higher recovery of lead via a cost-effective and environmentally friendly process. This paper describes an optimization study on the leaching of lead from zinc leach residue using acidic calcium chloride aqueous solution. Six main process conditions, i.e., the solution pH value, stirring rate, concentration of CaC12 aqueous solution, liquid-to-solid （L/S） ratio, leaching temperature, and leaching time, were inves- tigated. The microstructure and components of the residue and tailing were characterized using scanning electron microscopy （SEM） and X-ray diffraction （XRD）. On the basis of experimental results, the optimum reaction conditions were determined to be a solution pH value of 1, a stirring rate of 500 r·min-1, a CaC12 aqueous solution concentration of 400 g·L-1, a liquid-to-solid mass ratio of 7：1, a leaching tempera- ture of 80℃, and a leaching time of 45 min. The leaching rate of lead under these conditions reached 93.79%, with an iron dissolution rate of 19.28%. Silica did not take part in the chemical reaction during the leaching process and was accumulated in the residue.

关键词： lead metallurgy hydrometaUurgy leach residue zinc calcium chloride leaching rate

Pile Running in Layered Soils

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China Ocean Engineering 2023年第5期37卷 829-841页

作者： ZHAO Huan wang le SUN Li-qiang TIAN Ying-hui Oliver REUL CHEN Quan-zhen State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation Tianjin UniversityTianjin 300072China Department of Infrastructure Engineering The University of MelbourneParkvilleVictoria 3010Australia Department of Geotechnical Engineering University of KasselKassel 34109Germany

This paper presents a case study on incidents of offshore pile running in layered *** study provides a detailed description of the seabed soil data,pile driving records,and field surveillance video ***-dimensional large deformation finite element(LDFE)analyses were conducted to retrospectively analyze the incidents,considering the remoulding of seabed soil and degradation of the pile-soil interface in the LDFE *** comparing the field observations with the LDFE analysis,the mechanism of pile running was discussed,with a focus on investigating the pile penetration resistance in each *** study revealed that pile running in layered soils primarily resulted from a significant reduction in pile base resistance when transitioning from a strong layer to an adjacent weak *** further investigate the pile running mechanism in layered soils,a parametric study on the strength variation of adjacent soil layers and its influence on pile base resistance was ***,a simplified prediction model of pile base resistance,suitable for assessing the risk of pile running in layered soils,was proposed.

关键词： pile running coupled Eulerian−Lagrangian method layered soil penetration resistance pile−soil interaction

Corporate Board Structure and Corporate Performance:Empirical Analysis of Listed Companies in China

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Fudan Journal of the Humanities and Social Sciences 2019年第1期12卷 137-175页

作者： le wang Qun Liu Masaharu Hanazaki Graduate School of Commerce and Management Hitotsubashi UniversityKunitachiJapan Research Center for East Asia Policy Hitotsubashi UniversityKunitachiJapan

Using cross section data of 3 years 2000,2007,and 2014 for non-financial listed firms in China,this study quantitatively analyzes the relationship between government-affiliated corporate executives and corporate *** classify the sample firms into two groups,based on whether their chief executive officers(CEOs)and independent directors are prior government officials or ***,we empirically examine the difference in corporate performance between the two *** find that the appointment of CEOs and directors of listed companies in China is significantly affected by government *** results also suggest that prior to 2000 government-affiliated CEOs impaired corporate *** with the establishment of State-owned Assets Supervision and Administration Committee and the completion of the Split-Share Structure Reform in 2006,government as a shareholder began to give priority to corporate value maximization,and government-affiliated CEOs began to help improve corporate ***,due to the slowdown of economic growth after 2012,problems such as inefficiency and corruption brought by government-affiliated executives manifested again,and therefore,corporate performance ***,government-affiliated independent directors have limited influence on these factors.

关键词： Corporate governance Socialist market economy Board of directors Government officials

Failure probability estimation of overhead transmission lines considering spatial and temporal variation in severe weather

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Journal of Modern Power Systems and Clean Energy 2019年第1期7卷 131-138页

作者： Shuai YANG Wenjun ZHOU Shiyang ZHU le wang Lisha YE Xuezhi XIA Han LI School of Electrical Engineering Wuhan University Electric Power Research Institute Guangxi Power Grid Co.Ltd Hubei Electric Engineering Corporation

Estimation for weather-related failure probability of overhead transmission lines is essential in the reliability assessment of a power *** paper analyzes the outage and weather data of 110 kV overhead transmission lines in the Guangxi Zhuang Autonomous Region of China during 2011–*** result reveals obvious uneven distributions of outage events for time and space due to the spatial and temporal variation of severe *** on the results, an estimation method is proposed in this *** and aggregation is used to smooth the outage and weather *** poisson model is adopted in our method to investigate the statistic characteristics of transmission line outage *** analysis is applied to obtain the correlation between the weather intensity and history failure *** the method proposed is validated against the empirical outage data.

关键词： Severe weather Transmission line Poisson model Failure probability Regression analysis

Special Vehicle Target Detection and Tracking Based on Virtual Simulation Environment and YOLOv5-Block+DeepSort Algorithm

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Computers, Materials & Continua 2024年第11期81卷 3241-3260页

作者： Mingyuan Zhai Hanquan Zhang le wang Dong Xiao Zhengmin Gu Zhenni Li College of Information Science and Engineering Northeastern UniversityShenyang110819China Flight Control Department Shenyang Aircraft Design and Research InstituteShenyang110035China Department of Information Center The First Hospital of China Medical UniversityShenyang110001China

In the process of dense vehicles traveling fast,there will be mutual occlusion between vehicles,which will lead to the problem of deterioration of the tracking effect of different vehicles,so this paper proposes a research method of virtual simulation video vehicle target tracking based on you only look once(YOLO)v5s and deep simple online and realtime tracking(DeepSort).Given that the DeepSort algorithm is currently the most effective tracking method,this paper merges the YOLOv5 algorithm with the DeepSort *** it adds the efficient channel attention networks(ECA-Net)focusing mechanism at the back for the cross-stage partial bottleneck with 3 convolutions(C3)modules about the YOLOv5 backbone network and before the up-sampling of the Neck feature *** YOLOv5 algorithm adopts expected intersection over union(EIOU)instead of complete intersection over union(CIOU)as the loss function of the target frame *** improved YOLOv5 algorithm is named *** experimental results show that in the special vehicle target detection(TD)and tracking in the virtual simulation environment,The YOLOv5-Block algorithm has an average accuracy(AP)of 99.5%,which significantly improves the target recognition correctness for typical occlusion cases,and is 1.48 times better than the baseline *** the virtual simulation video sequence test,multiple objects tracking accuracy(MOTA)and various objects tracking precision(MOTP)improved by 10.7 and 1.75 percentage points,respectively,and the number of vehicle target identity document(ID)switches *** with recent mainstream vehicle detection and tracking models,the YOLOv5-Block+Deepsort algorithm can accurately and continuously complete the detection and tracking tasks of special vehicle targets in different scenes.

关键词： YOLOv5 DeepSort virtual simulation attention mechanism

Phase-matching quantum key distribution with light source monitoring

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Chinese Physics B 2022年第5期31卷 165-172页

作者： Wen-Ting Li le wang Wei Li Sheng-Mei Zhao Institute of Signal Processing Transmission Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing 210003China

The transmission loss of photons during quantum key distribution(QKD)process leads to the linear key rate bound for practical QKD systems without quantum *** matching quantum key distribution(PM-QKD)protocol,an novel QKD protocol,can overcome the constraint with a measurement-device-independent structure,while it still requires the light source to be *** assumption is not guaranteed in practice,leading to practical secure *** this paper,we propose a modified PM-QKD protocol with a light source monitoring,named PM-QKD-LSM protocol,which can guarantee the security of the system under the non-ideal source *** results show that our proposed protocol performs almost the same as the ideal PM-QKD protocol even considering the imperfect factors in practical ***-LSM protocol has a better performance with source fluctuation,and it is robust in symmetric or asymmetric cases.

关键词： phase-matching quantum key distribution source fluctuation light source monitoring

In-depth urinary and exosome proteome profiling analysis identifies novel biomarkers for diabetic kidney disease

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Science China(Life Sciences) 2023年第11期66卷 2587-2603页

作者： Shichun Du Linhui Zhai Shu Ye le wang Muyin Liu Minjia Tan Department of Endocrinology Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200092China State Key Laboratory of Drug Research Shanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China Zhongshan Institute for Drug Discovery Shanghai Institute of Materia MedicaChinese Academy of SciencesGuangdong 528400China Department of Cardiology Shanghai Institute of Cardiovascular DiseasesZhongshan HospitalFudan UniversityShanghai 200032China

Diabetic kidney disease(DKD)is a major microvascular complication of type 2 diabetes mellitus(T2DM).Monitoring the early diagnostic period and disease progression plays a crucial role in treating *** this study,to comprehensively elucidate the molecular characteristics of urinary proteins and urinary exosome proteins in type 2 DKD,we performed large-scale urinary proteomics(n=144)and urinary exosome proteomics(n=44)analyses on T2DM patients with albuminuria in varying *** dynamics analysis of the urinary and exosome proteomes in our study provides a valuable resource for discovering potential urinary biomarkers in patients with DKD.A series of potential biomarkers,such as SERPINA1 and transferrin(TF),were detected and validated to be used for DKD diagnosis or disease *** results of our study comprehensively elucidated the changes in the urinary proteome and revealed several potential biomarkers reflecting the progression of DKD,which provide a reference for DKD biomarker screening.

关键词： diabetic kidney disease type 2 diabetes mellitus urinary proteome urinary exosome proteome biomarkers

Significantly reduced function of T cells in patients with acute arterial thrombosis

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Journal of Geriatric Cardiology 2015年第3期12卷 287-293页

作者： Wen-Wen YAN Kun-Shan ZHANG Qiang-Lin DUAN le-Min wang i University School of Medicine ShanghaL China

Objectives To explore the intrinsic factors related to the pathogenesis of acute arterial thrombosis （AAT） and to elucidate the patho- genesis of AAT on the basis of differentially expressed genes. Methods Patients with acute myocardial infarction （AMI）, stable angina （SA） and healthy controls （n = 20 per group） were recruited, and the whole human genome microarray analysis was performed to detect the differentially expressed genes among these subjects. Results Patients with AMI had disease-specific gene expression pattern. Biological functional analysis showed the function of T cells was significantly reduced, the mitochondrial metabolism significantly decreased, the ion metabolism was abnormal, the cell apoptosis and inflammatory reaction increased, the phagocytosis elevated, the neutrophil-mediated immunity increased and the post-traumatic repair of cells and tissues increased in AMI patients. The biological function in SA group and healthy controis remained stable and was comparable. Conclusions The reduced function ofT cell gene models in AAT showed the dysfunction of the immune system. The pathogenesis of AAT may be related to the inflammatory reaction after arterial intima infection caused by potential pathogenic microorganisms.

关键词： Acute arterial thrombosis Gene expression pattern Myocardial infarction Stable angina