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A survey on hyperspectral image restoration: from the view of low-rank tensor approximation

Science China(information Sciences) 2023年第4期66卷 33-63页

作者： Na LIU Wei LI Yinjian WANG Ran TAO Qian DU Jocelyn CHANUSSOT School of Information and Electronics and Beijing Key Laboratory of Fractional Signals and Systems Beijing Institute of Technology Department of Electrical and Computer Engineering Mississippi State University GIPSA-Lab University of Grenoble Alpes Aerospace Information Research Institute Chinese Academy of Sciences

The ability to capture fine spectral discriminative information enables hyperspectral images(HSIs) to observe, detect and identify objects with subtle spectral discrepancy. However, the captured HSIs may not represent the true distribution of ground objects and the received reflectance at imaging instruments may be degraded, owing to environmental disturbances, atmospheric effects, and sensors' hardware limitations. These degradations include but are not limited to complex noise, heavy stripes, deadlines,cloud/shadow occlusion, blurring and spatial-resolution degradation, etc. These degradations dramatically reduce the quality and usefulness of HSIs. Low-rank tensor approximation(LRTA) is such an emerging technique, having gained much attention in the HSI restoration community, with an ever-growing theoretical foundation and pivotal technological innovation. Compared to low-rank matrix approximation(LRMA),LRTA characterizes more complex intrinsic structures of high-order data and owns more efficient learning abilities, being established to address convex and non-convex inverse optimization problems induced by HSI restoration. This survey mainly attempts to present a sophisticated, cutting-edge, and comprehensive technical survey of LRTA toward HSI restoration, specifically focusing on the following six topics: denoising, fusion,destriping, inpainting, deblurring, and super-resolution. For each topic, state-of-the-art restoration methods are introduced, with quantitative and visual performance assessments. Open issues and challenges are also presented, including model formulation, algorithm design, prior exploration, and application concerning the interpretation requirements.

关键词： hyperspectral image image restoration low-rank tensor approximation multisource fusion remote sensing

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Non-Hermitian polarization quantized by time-reversal symmetry

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Science China(Physics,Mechanics & Astronomy) 2024年第12期67卷 141-147页

作者： Jing Cheng Jinbing Hu Zhigao Hu Lin Chen Minghui Lu Songlin Zhuang Technical Center for Multifunctional Magneto-Optical Spectroscopy(Shanghai) Engineering Research Center of Nanophotonics&Advanced Instrument(Ministry of Education)Department of Physics and Electronic ScienceEast of China Normal UniversityShanghai200241China College of Optical-Electrical Information and Computer Engineering University of Shanghai for Science and TechnologyShanghai200093China Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan430074China National Laboratory of Solid State Microstructures Science and Engineering Nanjing UniversityNanjing210093China

It is well known that in one-dimensional(1D) crystalline insulators,the electric polarization is a manifestation of Berry phase,which can not be quantized by time-reversal symmetry(TRS) as in Hermitian physics TRS does not induce any topological phase in one *** this paper we report that even though associated with complex eigenenergies a 1D non-Hermitian insulator obeying only TRS is capable of presenting quantized bulk *** underlying physical reason is unveiled:TRS guarantees the complex energies to come in pair(E,E*),and the corresponding decaying and amplifying wave functions also come in pair and have the same variation rate,hence,giving rise to a stable wannier *** electron transport is performed by means of charge pumping process,which verifies the physical mechanism *** last,we discuss the possible experimental implementation of the proposed model by means of twisted-π gauge flux.

关键词： non-Hermitian polarization time-reversal symmetry complex hopping

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CPL-SLAM: Centralized Collaborative Multirobot Visual-Inertial SLAM Using Point-and-Line Features

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IEEE Internet of Things Journal 2025年第12期12卷 21866-21875页

作者： Liu, Xin Wen, Shuhuan Liu, Huaping Richard Yu, F. Yanshan University Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Key Laboratory of Intelligent Rehabilitation and Neuroregulation in Hebei Province Department of Key Laboratory of Industrial Computer Control Engineering of Hebei Province Qinhuangdao066004 China Tsinghua University Department of Computer Science and Technology Beijing100084 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China Carleton University School of Information Technology Department of Systems and Computer Engineering OttawaONK1S 5B6 Canada

Traditional visual-inertial Simultaneous Localization and Mapping (SLAM) systems predominantly rely on feature point matching from a single robot to realize the robot pose estimation and environment map construction. However, in complex scenarios, these traditional systems struggle with issues, such as tracking failures due to illumination changes, rapid movements, and low-texture environments, and they perform poorly in terms of mapping efficiency and global consistency. To address these challenges, we propose a centralized collaborative SLAM system that employs both point and line features for tracking in the robot and map fusion in the cloud. The proposed system leverages the fusion of point and line features across all instances in the process, which allows our method to achieve higher localization accuracy in structured, low-texture scenes. With the aid of classifying gravity-aligned vertical lines and spatial parallel lines, the proposed system can deliver faster and more accurate odometry in complex scenes. Furthermore, we developed intrarobot and interrobot loop closure detection methods based on point and line features, generating a globally consistent sparse point cloud and structured scene map in the cloud. Our method is able to build richer maps while improving accuracy compared to existing methods. Experimental results on public datasets and in real-world environments show that, compared to existing advanced methods, our approach demonstrates better performance. © 2014 IEEE.

关键词： SLAM robotics

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Spectrally resolved Franson interference

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Science China(Physics,Mechanics & Astronomy) 2024年第5期67卷 11-17页

作者： Rui-Bo Jin Zi-Qi Zeng Dan Xu Chen-Zhi Yuan Bai-Hong Li You Wang Ryosuke Shimizu Masahiro Takeoka Mikio Fujiwara Masahide Sasaki Pei-Xiang Lu Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of TechnologyWuhan 430205China School of Physics and Information Science Shaanxi University of Science and TechnologyXi'an 710021China Southwest Institute of Technical Physics Chengdu 610041China Graduate School of Informatics and Engineering University of Electro-CommunicationsTokyo 182-8585Japan Department of Electronics and Electrical Engineering Keio UniversityKanagawa 223-8522Japan National Institute of Information and Communications Technology Tokyo 184-8795Japan

Franson interference can be used to test the nonlocal features of energy-time entanglement and has become a standard in quantum ***,most of the previous Franson interference experiments were demonstrated in the time domain,and the spectral properties of Franson interference have not been fully ***,we theoretically and experimentally demonstrate spectrally resolved Franson interference using biphotons with different correlations,including positive correlation,negative correlation,and *** is found that the joint spectral intensities of the biphotons can be modulated along both the signal and idler directions,which has potential applications in generating high-dimensional frequency entanglement and time-frequency grid *** work may provide a new perspective for understanding the spectral-temporal properties of the Franson interferometer.

关键词： resolved correlation spectral

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Synthesis of lignite-derived carbon materials for fast sodium-ion storage in a wide temperature range by ultrafast Joule heating

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Progress in Natural Science:Materials International 2024年第6期34卷 1281-1294页

作者： Ru Wang Yiming Fan Jiaqi Wang Yuyang Li Xiangyang Li Feng Jin Xiaofei Hu School of Chemistry Engineering Research Center of Energy Storage Materials and Devices Ministry of Education State Key Laboratory for Mechanical Behavior of Materials.Xi'an Jiaotong University State Key Laboratory for Strength and Vibration of Mechanical Structures Xi'an Jiaotong University Department of Chemistry and Biochemistry.Northern Illinois University State Key Laboratory of Electrical Insulation and Power Equipment School of Electrical Engineering Xi'an Jiaotong University Xi'an Institute of Electromechanical Information Technology

The advancement of sodium-ion batteries is hindered by the imperative to reconcile extreme environmental conditions and high-rate demands, posing challenges in the synthesis of cost-effective and high-performance anode materials. Among the potential candidates, lignite-based soft carbon materials stand out due to their abundant resources and low cost. An ultrafast approach using high-temperature thermal shock pulses is reported for the synthesis of soft carbon anode from lignite, and the mechanism of “adsorption-intercalation-pore filling” is proposed. Based on structure analysis, in/ex-situ electrochemically characterization, and calculation/simulation,high concentration of defects and C=O contents, along with abundant closed pore structures, contribute to enhancing the sodium storage capabilities of the material. The optimized sample demonstrates a substantial reversible capacity of 300.6 m Ah g-1at 0.1C and outstanding high-rate capability at 10.0C, which also maintains proper functionality in a wide temperature range（-40～80°C）. This performance surpasses that of previously reported lignite-based soft carbon materials. Additionally, the assembled full-cell maintains a high-energy density of 235.8 Wh kg-1. This work provides valuable insights into developing anode materials for coal-based SIBs at high-rate current densities in a wide range of temperatures.

关键词： Sodium-ion batteries High-rate Lignite High-temperature thermal shock pulse A wide temperature range

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Snowball Effect in Federated Learning: An Approach of Exponentially Expanding Structures for Optimizing the Training Efficiency

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IEEE Transactions on Cognitive Communications and Networking 2025年第3期11卷 1803-1817页

作者： Cheng, Guoliang Li, Peichun Tan, Beihai Yu, Rong Wu, Yuan Pan, Miao Guangdong University of Technology School of Automation Guangdong Key Laboratory of IoT Information Technology Guangzhou510006 China University of Macau State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science China Guangdong University of Technology School of Integrated Circuits Guangzhou510006 China University of Houston Department of Electrical and Computer Engineering Houston77204 United States

Efficient federated learning (FL) in mobile edge networks faces challenges due to energy-consuming on-device training and wireless transmission. Optimizing the neural network structures is an effective approach to achieving energy savings. In this paper, we present a Snowball FL training with expanding neural network structure, which starts with a small-sized submodel and gradually progresses to a full-sized model. To achieve this, we first design the submodel and embedding extraction schemes for fine-grained model structure expansion. We then investigate the joint minimization problem of the global training loss and system-wise energy consumption. After that, we decompose the optimization problem into a long-term model structure expansion subproblem and a single-round local resource allocation subproblem. Specifically, the former subproblem is transformed into a variational calculus problem by leveraging theoretical analysis of the convergence bound. The Euler-Lagrange method is used to derive the solution, where the optimal evolution strategy for the model structure exponentially increases with the global round (i.e., the Snowball effect). Meanwhile, the latter subproblem is solved by convex optimization to acquire the optimal computing frequency and transmission power. Experiments indicate that the proposed framework can save about 50% of energy consumption to achieve on-par accuracy against state-of-the-art algorithms. © 2015 IEEE.

关键词： Resource allocation

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A flexible pressure sensor with highly customizable sensitivity and linearity via positive design of microhierarchical structures with a hyperelastic model

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Microsystems & Nanoengineering 2023年第1期9卷 103-114页

作者： Zhenjin Xu Dezhi Wu Zhiwen Chen Zhongbao Wang Cong Cao Xiangyu Shao Gang Zhou Shaohua Zhang Lingyun Wang Daoheng Sun Department of Mechanical and Electrical Engineering Xiamen UniversityXiamen361005China Shenzhen Research Institute of Xiamen University Shenzhen518057China Beijing Key Laboratory of Long-Life Technology of Precise Rotation and Transmission Mechanisms Beijing Institute of Control EngineeringBeijing100094China

The tactile pressure sensor is of great significance in flexible electronics,but sensitivity customization over the required working range with high linearity still remains a critical *** numerous efforts to achieve high sensitivity and a wide working range,most sensitive microstructures tend to be obtained only by inverting naturally existing templates without rational design based on fundamental contact principles or models for piezoresistive pressure ***,a positive design strategy with a hyperelastic model and a Hertzian contact model for comparison was proposed to develop a flexible pressure sensor with highly customizable linear sensitivity and linearity,in which the microstructure distribution was precalculated according to the desired requirement prior to *** a proof of concept,three flexible pressure sensors exhibited sensitivities of 0.7,1.0,and 1.3 kPa−1 over a linear region of up to 200 kPa,with a low sensitivity error(<5%)and high linearity(~0.99),as *** on the superior electromechanical performance of these sensors,potential applications in physiological signal recognition are demonstrated as well,and such a strategy could shed more light on demand-oriented scenarios,including designable working ranges and linear sensitivity for next-generation wearable devices.

关键词： hierarchical template custom

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IoT-based green-smart photovoltaic system under extreme climatic conditions for sustainable energy development

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Global Energy Interconnection 2024年第6期7卷 836-856页

作者： Yufei Wang Jia-Wei Zhang Kaiji Qiang Runze Han Xing Zhou Chen Song Bin Zhang Chatchai Putson Fouad Belhora Hajjaji Abdelowahed School of Electrical Engineering Xi’an University of TechnologyXi’an 710048P.R.China School of Electrical Engineering Xi'an Jiaotong UniversityXi'an 710049P.R.China Faculty of Printing Packing Engineering and Digital Media TechnologyXi’an University of TechnologyXi’an 710054P.R.China School of Mechanical Electrical and Information EngineeringShandong UniversityWeihai 264209P.R.China Materials Physics Laboratory Department of PhysicsFaculty of SciencePrince of Songkla University(PSU)Songkhla 90112Thailand Laboratory of Engineering Sciences for Energy(LabSIPE) National School of Applied SciencesChouaib Doukkali UniversityEl Jadida 24000Morocco

To realize carbon neutrality,there is an urgent need to develop sustainable,green energy systems(especially solar energy systems)owing to the environmental friendliness of solar energy,given the substantial greenhouse gas emissions from fossil fuel-based power *** it comes to the evolution of intelligent green energy systems,Internet of Things(IoT)-based green-smart photovoltaic(PV)systems have been brought into the spotlight owing to their cutting-edge sensing and data-processing *** review is focused on three critical segments of IoT-based green-smart PV ***,the climatic parameters and sensing technologies for IoT-based PV systems under extreme weather conditions are ***,the methods for processing data from smart sensors are discussed,in order to realize health monitoring of PV systems under extreme environmental ***,the smart materials applied to sensors and the insulation materials used in PV backsheets are susceptible to aging,and these materials and their aging phenomena are highlighted in this *** review also offers new perspectives for optimizing the current international standards for green energy systems using big data from IoT-based smart sensors.

关键词： Photovoltaic systems Extreme climatic conditions Data processing Condition monitoring Smart materials

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SnP entangled by carbon nanotube networks as anode for pseudocapacitive half/full battery

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Journal of Materiomics 2023年第2期9卷 362-369页

作者： Qian Zhao Dan Zhao Lan Feng Jian Yu Yi Liu Shouwu Guo School of Materials Science and Engineering Shaanxi Key Laboratory of Green Preparation and Functionalization for Inorganic MaterialsShaanxi University of Science and TechnologyXi'an710021China Department of Electronic Engineering School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai200240China

Due to the lower operating voltage and higher theoretical specific capacity,tin phosphide is considered a class of materials with prospects as an anode material for lithium-ion batteries(LIBs).Among them,tin monophosphide has attracted people's attention due to its unique layered ***,because of the challenging synthesis method and metastable nature,the application of SnP is *** this work,tin phosphide/carbon nanotubes(SnP/CNTs)are prepared by controlling the nucleation and adjusting the ratio of phosphorus/carbon using carbon nanotube as ***-MOF is used as a template to make the morphology of SnP more evenly,and carbon nanotubes can also be used as a conductive network to increase the speed of electron *** an anode material for LIBs,SnP/CNTs reveals superior rate performances(reversible capability of 610 mA·h·g^(-1)at 2000 mA·g^(-1)).The full-cell was assembled and tested,after 50 cycles at 0.1 C,the capacity can maintain 292 mA·h·g^(-1),and its capacity retention rate can reach 80.5%.After 230 cycles,its capacity can maintain at around 223 mA·h·g*** addition,SnP/CNTs materials exhibit 89%pseudocapacitance contribution upon cycling,which indicates the robust Lit storage and satisfactory fast-charging ***,SnP/CNTs suggests a promising anode material for energy storage system.

关键词： SnP Lithium-ion storage Carbon nanotubes Sn4P3 Pseudocapacitive

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Guidance of Agricultural Ground Robots Team with an Aerial Vehicle: A Cost-Effective Solution 56

Guidance of Agricultural Ground Robots Team with an Aerial V...

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56th International Symposium on Robotics, ISR Europe 2023

作者： Ugurlu, Halil Ibrahim Bardakci, Deniz Pham, Huy Xuan Kayacan, Erdal The Department of Electrical and Computer Engineering Aarhus University Aarhus C8000 Denmark Automatic Control Group Department of Electrical Engineering and Information Technology Paderborn University Paderborn Germany

ISBN: (纸本)9783800761418

Increasing the operational efficiency of agricultural machines is essential by the use of artificial intelligence (AI)-based navigation, planning, and control algorithms to handle the increasing demand for food production without compromising sustainability. In this study, an end-to-end path planning algorithm (AgroRL) is proposed for aerial-ground robots team collaboration. In the proposed solution, while main operations in the field are handled by the ground vehicle, the aerial robot is responsible for re-planning a collision-free trajectory for the ground robot when the robot faces an obstacle. Deep reinforcement learning is used for training the end-to-end policy for local re-planning of the aerial robot. The agent, informed by the global trajectory, generates local plans based on depth images. Variational autoencoders are also investigated for dimension reduction of the depth images in obstacle avoidance context to speed up deep reinforcement learning and alleviate the computational complexity of the policy network. The agriculture environment is developed in the Webots open-source robot simulator for training and testing purposes. The efficiency and efficacy of the end-to-end planner are evaluated over a number of cluttered field scenarios. The simulation experiments demonstrate a single aerial vehicle guiding multiple ground robots in agricultural operations. © VDE VERLAG GMBH Berlin Offenbach.

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