MULTI-SPECTRAL

作品数:32被引量:56H指数:4
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相关领域:自动化与计算机技术更多>>
相关作者:王令超樊鹏杨建锋马军成张泽更多>>
相关机构:中国农业大学河南省科学院中国航天科技集团公司八院八部云南师范大学更多>>
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相关基金:国家自然科学基金国家教育部博士点基金国家重点基础研究发展计划国家高技术研究发展计划更多>>
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In Situ Atomic Reconstruction Engineering Modulating Graphene-Like MXene-Based Multifunctional Electromagnetic Devices Covering Multi-Spectrum被引量:2
《Nano-Micro Letters》2024年第9期247-261,共15页Ting‑Ting Liu Qi Zheng Wen‑Qiang Cao Yu‑Ze Wang Min Zhang Quan‑Liang Zhao Mao‑Sheng Cao 
supported by the National Natural Science Foundation of China(Grant Nos.52373280,52177014,51977009,52273257).
With the diversified development of big data,detection and precision guidance technologies,electromagnetic(EM)functional materials and devices serving multiple spectrums have become a hot topic.Exploring the multispec...
关键词:Graphene-like MXene hybrids Multi-spectral response Multi-function antenna Ultra-wideband bandpass filter Electromagnetic device 
Multispectral image compression and encryption method based on tensor decomposition in wavelet domain
《High Technology Letters》2024年第3期244-251,共8页XU Dongdong DU Limin DU Yunlong 
the National Natural Science Foundation of China(No.11803036);Climbing Program of Changchun University(No.ZKP202114).
Multispectral image compression and encryption algorithms commonly suffer from issues such as low compression efficiency,lack of synchronization between the compression and encryption proces-ses,and degradation of int...
关键词:multi-spectral image compression encryption Lorenz three-dimensional chaotic mapping Arnold scrambling transform fast Tucker decomposition 
Degradation properties of fulvic acid and its microbially driven mechanism from a partial nitritation bioreactor through multi-spectral and bioinformatic analysis被引量:1
《Journal of Environmental Sciences》2024年第1期318-331,共14页Quanhao Dou Li Zhang Tingjun Dong Zixuan Song Xuepeng Fan Yongzhen Peng Xiayan Wang Jiachun Yang 
supported by the Key Research and Development Project of Shandong (Nos.2021CXGC011202,2020CXGC011404,and 2022CXGC021002);the National Natural Science Foundation of China (No.22276006)。
This study employed multispectral techniques to evaluate fulvic acid(FA)compositional characteristic and elucidate its biodegradation mechanisms during partial nitritation(PN)process.Results showed that FA removal eff...
关键词:Partial nitritation Fulvic acid 3DEEM-PARAFAC UV/Vis Microbially driven mechanism 
Machine learning-based spectral and spatial analysis of hyper-and multi-spectral leaf images for Dutch elm disease detection and resistance screening
《Artificial Intelligence in Agriculture》2023年第4期26-34,共9页Xing Wei Jinnuo Zhang Anna O.Conrad Charles E.Flower Cornelia C.Pinchot Nancy Hayes-Plazolles Ziling Chen Zhihang Song Songlin Fei Jian Jin 
Diseases caused by invasive pathogens are an increasing threat to forest health,and early and accurate disease detection is essential for timely and precision forest management.The recent technological advancements in...
关键词:American elm Dutch elm disease Hyperspectral imaging Multispectral imaging Support vector machine Convolution neural network Disease phenotyping Digital forestry 
Aerial multi-spectral AI-based detection system for unexploded ordnance被引量:3
《Defence Technology(防务技术)》2023年第9期24-37,共14页Seungwan Cho Jungmok Ma Oleg A.Yakimenko 
the Office of Naval Research for supporting this effort through the Consortium for Robotics and Unmanned Systems Education and Research。
Unexploded ordnance(UXO)poses a threat to soldiers operating in mission areas,but current UXO detection systems do not necessarily provide the required safety and efficiency to protect soldiers from this hazard.Recent...
关键词:Unexploded ordnance(UXO) Multispectral imaging Small unmanned aerial systems(sUAS) Object detection Deep learning convolutional neural network(DLCNN) 
Convolutional Neural Networks of Whole Jujube Fruits Prediction Model Based on Multi-Spectral Imaging Method
《Chinese Journal of Electronics》2023年第3期655-662,共8页WANG Jing FAN Xiaofei SHI Nan ZHAO Zhihui SUN Lei SUO Xuesong 
supported by Hebei Talent Support Foundation(E2019100006);Key Research and Development Program of Hebei Province(20327403D);the National Natural Science Foundation of China(32072572),Talent Recruiting Program of Hebei Agricultural University(YJ201847);University Science and Technology Research Project of Hebei Province(QN2020444).
Soluble sugar is an important index to determine the quality of jujube,and also an important factor to influence the taste of jujube.The acquisition of the soluble sugar content of jujube mainly relies on manual chemi...
关键词:JUJUBE Multi-spectral imaging Convolutional neural networks. 
Assessing a novel modelling approach with high resolution UAV imagery for monitoring health status in priority riparian forests
《Forest Ecosystems》2021年第4期810-830,共21页Juan Guerra-Hernandez Ramon A.Diaz-Varela Juan Gabriel Avarez-Gonzalez Patricia Maria Rodriguez-Gonzalez 
co-funded by the European Commission LIFE program-Project LIFE FLUVIAL,LIFE16 NAT/ES/000771;supported by the Portuguese Foundation for Science and Technology(FCT)through FCT the Investigador FCT Programme(IF/00059/2015);through the CEEC Individual Programme(2020.03356.CEECIND);CEF was supported through the FCT UIDB/00239/2020;supported by the‘National Programme for the Promotion of Talent and Its Employability’of the Ministry of Economy,Industry,and Competitiveness(Torres-Quevedo program)through a postdoctoral grant(PTQ2018-010043).
Background:Black alder(Alnus glutinosa)forests are in severe decline across their area of distribution due to a disease caused by the soil-borne pathogenic Phytophthora alni species complex(class Oomycetes),“alder Ph...
关键词:ALDER RPAS MULTI-SPECTRAL DEFOLIATION Texture variables 3D point cloud Tree health monitoring 
A practical method utilizing multi-spectral LiDAR to aid points cloud matching in SLAM被引量:3
《Satellite Navigation》2020年第1期317-327,共11页Changhui Jiang Yuwei Chen Wenxin Tian Ziyi Feng Wei Li Chunchen Zhou Hui Shao Eetu Puttonen Juha Hyyppä 
Academy of Finland projects“Centre of Excellence in Laser Scanning Research(CoE-LaSR)(307362)”;Strategic Research Council project“Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization,Robotics,Geospatial Information and Image Processing/Computing-Point Cloud Ecosystem(314312);Additionally,Chinese Academy of Science(181811KYSB20160113,XDA22030202);Beijing Municipal Science and Technology Commission(Z181100001018036);Shanghai Science and Technology Foundations(18590712600);Jihua lab(X190211TE190)are acknowledged.
Light Detection and Ranging(LiDAR)sensors are popular in Simultaneous Localization and Mapping(SLAM)owing to their capability of obtaining ranging information actively.Researchers have attempted to use the intensity i...
关键词:SLAM Laser intensity LIDAR CALIBRATION 
Application of cloud multi-spectral radiances in revealing cloud physical structures
《Earth and Planetary Physics》2019年第2期126-135,共10页Juan Huo DaRen Lu WenJing Xu 
supported by the National Natural Science Foundation of China (Grant 41775032);Key Research Program of Frontier Sciences, Chinese Academy of Sciences (Grant QYZDY-SSW-DQC027)
The radiances scattered or emitted by clouds demonstrate diverse features at different wavelengths due to different cloud physical structures. This paper presents a method(the smallest-radiance-distance method, SRaDM)...
关键词:CLOUD physical structure RADIANCE RADAR 
Chlorophyll Content Retrieval of Rice Canopy with Multi-spectral Inversion Based on LS-SVR Algorithm被引量:2
《Journal of Northeast Agricultural University(English Edition)》2019年第1期53-63,共11页Jin Si-yu Su Zhong-bin Xu Zhe-nan Jia Yin-jiang Yan Yu-guang Jiang Tao 
Supported by the National Key R&D Program of China(2016YFD0300610)
To monitor growth and predict the yield of rice over a large area, the chlorophyll contents in the rice canopy were estimated using the unmanned aerial vehicle(UAV) remote sensing technology. In this work, multi-spect...
关键词:remote sensing CHLOROPHYLL rice UAV MULTI-SPECTRAL INVERSION LS-SVR 
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