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Multi-sensor multispectral reconstruction framework based on projection and reconstruction

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Science China(information Sciences) 2024年第3期67卷 246-262页

作者： Tianshuai LI Tianzhu LIU Xian LI Yanfeng GU Yukun WANG Yushi CHEN School of Electronics and information Engineering Harbin Institute of Technology Heilongjiang Province Key laboratory of Space-Air-Ground Integrated intelligent Remote sensing

The scarcity and low spatial resolution of hyperspectral images(HSIs) have become a major problem limiting the application of the images. In recent years, spectral reconstruction(SR) has been applied to convert multispectral images(MSIs) with abundant quantities and high spatial resolution into HSIs. With the launch of several new multispectral(MS) satellites with a short repeat period, the simultaneous acquisition of images from multiple MS sensors in the same area is gradually becoming feasible. Unfortunately, existing SR methods only consider the reconstruction of the MSIs of a single sensor without considering using MSIs from different MS sensors to obtain a better construction effect through their complementary bands. However,multi-sensor SR is characterized by two problems: inconsistency in the amplitude information of real multisensor imaging and difficulty in the extraction of the complex correlations of bands from different *** solve these problems, this paper proposes a multi-sensor SR framework based on a two-step approach in which the problems of amplitude inconsistency and band information extraction are solved using an ideal projection network and an ideal multi-sensor SR network, respectively. The effectiveness of the proposed method is verified by experiments on three datasets.

关键词： spectral reconstruction spectral superresolution hyperspectral image multispectral image neural networks multi-sensor

Mutual aid instead of mutual restraint:interactive probing for topological charge and phase of a vortex beam of large aberrations

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Photonics Research 2024年第1期12卷 172-182页

作者： SHENGYANG WU BENLI YU LEI ZHANG Key laboratory of Opto-electronic information Acquisition and Manipulation Ministry of EducationAnhui UniversityHefei 230601China information Materials and intelligent sensing laboratory of Anhui Province Anhui UniversityHefei 230601China

An imperfect propagation environment or optical system would introduce wavefront aberrations to vortex *** phase aberrations and orbital angular momentum in a vortex beam are proved to be mutually restrictive in parameter *** make traditional topological charge(TC)probing methods ineffective while the phase singularity makes phase retrieval difficult due to the aliasing between the wrapped phase jump and the vortex phase *** interactive probing method is proposed to make measurements of the aberrated phase and orbital angular momentum in a vortex beam assist rather than hinder each *** phase unwrapping is liberated from the phase singularity by an annular shearing interference technique while the TC value is determined by a Moirétechnique immune to *** and experimental results proving the method effective are *** is of great significance to judge the characteristics of vortex beams passing through nonideal environments and optical systems.

关键词： vortex topological beam

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Modified NiFe-MOF with defects induced by-NH_(2)and-SH for enhanced adsorption and photocatalytic reduction of CO_(2)

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Journal of Materials Science & Technology 2024年第3期170卷 167-176页

作者： Ruting Huang Yeyin Zhang Wenqiang Li Wanxia Zhang Yong Fang Wenrui Zhang Anqi Cui Yu Ying Xianyang Shi information Materials and intelligent sensing laboratory of Anhui Province Anhui Province Key Laboratory of Wetland Ecosystem Protection and RestorationSchool of Resource and Environmental EngineeringAnhui UniversityHefei230601China Key laboratory of Nutrient Cycling Resources and Environment of Anhui Institute of Soil and FertilizerAnhui Academy of Agricultural SciencesHefei230001China

In this study,a Ni-Fe metal-organic framework modified by-NH_(2)and-SH was synthesized using a sim-ple hydrothermal process for enhancing photocatalytic CO_(2)*** expected,the N2S-NiFe(NH_(2)-BDC/H_(4)DSBDC,2:1)displayed excellent photocatalytic CO_(2)reduction activity and high CO selectivity(12,412.23μmol g^(−1)h^(−1))under visible light irradiation(λ≥420 nm),which is 5 times that of ***,the excellent photocatalytic performance of N2S-NiFe can benefit from the rich defect trap site caused by the introduction of amino and sulfhydryl groups,accelerating charge transfer and promoting space charge separation,as supported by the photo-electrochemical *** better understand the CO_(2)adsorption mechanism,density functional theory calculations were performed,which revealed that the Niov site has more negative adsorption energy compared with the Feov *** study provides a simple strategy to establish efficient photocatalysts for CO_(2)reduction through the modification of organic ligands.

关键词： NiFe-MOF CO_(2)reduction Defect structure Photocatalytic

Implantable Electrochemical Microsensors for In Vivo Monitoring of Animal Physiological information

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Nano-Micro Letters 2024年第3期16卷 183-211页

作者： Jin Zhou Shenghan Zhou Peidi Fan Xunjia Li Yibin Ying Jianfeng Ping Yuxiang Pan laboratory of agricultural information intelligent sensing College of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhou 310058People’s Republic of China ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang UniversityHangzhou 311200People’s Republic of China

In vivo monitoring of animal physiological information plays a crucial role in promptly alerting humans to potential diseases in animals and aiding in the exploration of mechanisms underlying human ***,implantable electrochemical microsensors have emerged as a prominent area of *** microsensors not only fulfill the technical requirements for monitoring animal physiological information but also offer an ideal platform for *** have been extensively studied for their ability to monitor animal physiological information in a minimally invasive manner,characterized by their bloodless,painless features,and exceptional *** development of implantable electrochemical microsensors for in vivo monitoring of animal physiological information has witnessed significant scientific and technological advancements through dedicated *** review commenced with a comprehensive discussion of the construction of microsensors,including the materials utilized and the methods employed for *** this,we proceeded to explore the various implantation technologies employed for electrochemical *** addition,a comprehensive overview was provided of the various applications of implantable electrochemical microsensors,specifically in the monitoring of diseases and the investigation of disease ***,a concise conclusion was conducted on the recent advancements and significant obstacles pertaining to the practical implementation of implantable electrochemical microsensors.

关键词： Electrochemical microsensors Implantable sensors In vivo monitoring Animal physiological information

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Circularly polarized lasing from chiral metal-organic frameworks

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Photonics Research 2024年第8期12卷 1654-1664页

作者： DEXIANG ZHU ZHOUYUANHANG WANG XIANGYU XU WENYU DU WEI HUANG YAN KUAI BENLI YU JIANZHONG ZHENG ZHIJIA HU SIQI LI information Materials and intelligent sensing laboratory of Anhui Province School of Physics and Optoelectronic Engineering Anhui University Key laboratory of Opto-Electronic information Acquisition and Manipulation of Ministry of Education School of Environmental Science and Engineering Nanjing Tech University

Circularly polarized lasers play a pivotal role in classical optics, nanophotonics, and quantum optical information processing, while their fabrication remains complex. This article begins with examining the interactions between stimulated emission and chiral matter, outlining a simple strategy for producing circularly polarized lasing from chiral metal-organic frameworks(MOFs), such as the zeolitic imidazolate framework(ZIF), embedded with achiral laser dyes(L∕D-ZIF?dyes). It is found that the stimulated emission threshold and intensity are influenced by the interplay between the chiral polarization of the pump light and the inherent chirality of the MOF nanoparticles. We further present the design of a chiral vertical-cavity surface-emitting laser(VCSEL), comprising an L∕D-ZIF?dyes solid-state film sandwiched between a high-reflectivity distributed Bragg reflector(DBR) mirror and a silver film. The cavity-based lasing exhibits higher asymmetry between emitting left-handed and right-handed polarized light compared to chiral spontaneous emission(SE) and amplified spontaneous emission(ASE), with an asymmetry value glum of approximately ±0.31. This value is nearly four-fold greater than that of SE and twice that of ASE. Our findings reveal a new approach to amplify chiral signals, promoting the comprehension and application of chiral–matter interactions, and offering a simple yet effective strategy to fabricate chiral lasers.

关键词： Bragg reflectors Circular polarization Green fluorescent protein Laser dyes Optical materials Vertical cavity surface emitting lasers

YOLO-CRD:A Lightweight Model for the Detection of Rice Diseases in Natural Environments

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Phyton-International Journal of Experimental Botany 2024年第6期93卷 1275-1296页

作者： Rui Zhang Tonghai Liu Wenzheng Liu Chaungchuang Yuan Xiaoyue Seng Tiantian Guo Xue Wang Tianjin Key laboratory of intelligent Breeding of Major Crops Tianjin Agricultural UniversityTianjin300392China College of Computer and information Engineering Tianjin Agricultural UniversityTianjin300392China

Rice diseases can adversely affect both the yield and quality of rice crops,leading to the increased use of pesticides and environmental *** detection of rice diseases in natural environments is crucial for both operational efﬁciency and quality *** learning-based disease identiﬁcation technologies have shown promise in automatically discerning disease ***,effectively extracting early disease features in natural environments remains a challenging *** address this issue,this study proposes the YOLO-CRD *** research selected images of common rice diseases,primarily bakanae disease,bacterial brown spot,leaf rice fever,and dry tip nematode disease,from Tianjin *** proposed YOLO-CRD model enhanced the YOLOv5s network architecture with a Convolutional Channel Attention Module,Spatial Pyramid Pooling Cross-Stage Partial Channel module,and Ghost *** former module improves attention across image channels and spatial dimensions,the middle module enhances model generalization,and the latter module reduces model *** validate the feasibility and robustness of this method,the detection model achieved the following metrics on the test set:mean average precision of 90.2%,accuracy of 90.4%,F1-score of 88.0,and GFLOPS of *** the speciﬁc diseases,the mean average precision scores were 85.8%for bakanae disease,93.5%for bacterial brown spot,94%for leaf rice fever,and 87.4%for dry tip nematode *** studies and comparative analyses veriﬁed the effectiveness and superiority of the proposed *** researchﬁnd-ings can be applied to rice disease detection,laying the groundwork for the development of automated rice disease detection equipment.

关键词： Convolutional neural network one stage training rice disease deep learning

Study on Image Recognition Algorithm for Residual Snow and Ice on Photovoltaic Modules

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Energy Engineering 2024年第4期121卷 895-911页

作者： Yongcan Zhu JiawenWang Ye Zhang Long Zhao Botao Jiang Xinbo Huang College of Electronics and information Xi’an Polytechnic UniversityXi’an710048China Xi’an Key laboratory of Interconnected sensing and intelligent Diagnosis for Electrical Equipment Xi’an710048China

The accumulation of snow and ice on PV modules can have a detrimental impact on power generation,leading to reduced efficiency for prolonged ***,it becomes imperative to develop an intelligent system capable of accurately assessing the extent of snow and ice coverage on PV *** address this issue,the article proposes an innovative ice and snow recognition algorithm that effectively segments the ice and snow areas within the collected ***,the algorithm incorporates an analysis of the morphological characteristics of ice and snow coverage on PV modules,allowing for the establishment of a residual ice and snow recognition *** process utilizes both the external ellipse method and the pixel statistical method to refine the identification *** effectiveness of the proposed algorithm is validated through extensive testing with isolated and continuous snow area *** results demonstrate the algorithm’s accuracy and reliability in identifying and quantifying residual snow and ice on PV *** conclusion,this research presents a valuable method for accurately detecting and quantifying snow and ice coverage on PV *** breakthrough is of utmost significance for PV power plants,as it enables predictions of power generation efficiency and facilitates efficient PV maintenance during the challenging winter conditions characterized by snow and *** proactively managing snow and ice coverage,PV power plants can optimize energy production and minimize downtime,ensuring a sustainable and reliable renewable energy supply.

关键词： Photovoltaic(PV)module residual snow and ice snow detection feature extraction image processing

Video caching and scheduling with edge cooperation

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Digital Communications and Networks 2024年第2期10卷 450-460页

作者： Zhidu Li Fuxiang Li Tong Tang Hong Zhang Jin Yang School of Communication and information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China Advanced Network and intelligent Connection Technology Key laboratory of Chongqing Education Commission of China Chongqing400065China Key laboratory of Ubiquitous sensing and Networking in Chongqing Chongqing400065China

In this paper,we explore a distributed collaborative caching and computing model to support the distribution of adaptive bit rate video *** aim is to reduce the average initial buffer delay and improve the quality of user *** the difference between global and local video popularities and the time-varying characteristics of video popularity,a two-stage caching scheme is proposed to push popular videos closer to users and minimize the average initial buffer *** on both long-term content popularity and short-term content popularity,the proposed caching solution is decouple into the proactive cache stage and the cache update *** the proactive cache stage,we develop a proactive cache placement algorithm that can be executed in an off-peak *** the cache update stage,we propose a reactive cache update algorithm to update the existing cache policy to minimize the buffer *** results verify that the proposed caching algorithms can reduce the initial buffer delay efficiently.

关键词： Video service Distributed and collaborative caching Long-term popularity Short-term popularity

Quantifying trapping stability of optical tweezers with an external flow

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Photonics Research 2024年第8期12卷 1741-1749页

作者： FENG XU YARONG YU YANG LIU YAO CHANG WENXIANG JIAO LIN WANG HOPUI HO BEI WU FEI XU YANQING LU YUANJIE PANG GUANGHUI WANG College of Engineering and Applied Sciences Nanjing University Key laboratory of intelligent Optical sensing and Integration of the Ministry of Education Nanjing University School of Optical and Electronic information Wuhan National Laboratory of Optoelectronics Huazhong University of Science and Technology Department of Biomedical Engineering The Chinese University of Hong Kong

Optical tweezers(OTs) can immobilize and manipulate objects with sizes that span between nano-and micrometer scales. The manipulating ability of OTs is traditionally characterized by stability factor(S), which can only indicate an empirical “hit-or-miss” process. Additionally, the current quantitative models for trapping stability rarely consider the influence of external flow. In this paper, a comprehensive analysis to quantify the optical trapping stability in a perturbed asymmetric potential well is presented from the perspective of statistics, especially for weak trapping scenarios. Our analytical formulation takes experimentally measurable parameters including particle size, optical power, and spot width as inputs and precisely outputs a statistically relevant mean trapping time. Importantly, this formulation takes into account general and realistic cases including fluidic flow velocity and other perturbations. To verify the model, a back-focal-plane-interferometer-monitored trapping experiment in a flow is set up and the statistical characteristics of trapping time demonstrate good agreement with theoretical predictions. In total, the model quantitatively reveals the effects of external disturbance on trapping time, which will find applications where optical trapping stability is challenged by external perturbations in weak trapping conditions.

关键词： Finite-difference time-domain method Gaussian beams Numerical simulation Optical trapping Optical tweezers Systems design