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2023 International Conference on remote sensing, Mapping, and Geographic Systems, RSMG 2023

作者： Xu, Yubin Li, Rong Wang, Chengrui Huang, Chuming Qin, Kun Xu, Kai China Academy of Civil Aviation Science and Technology Beijing China Faculty of Geographic Information Engineering China University of Geosciences Wuhan China School of Remote Sensing and Information Engineering Wuhan University Wuhan China

ISBN: (纸本)9781510668898

This paper proposes a shadow extraction method for GF-2 remote sensing images based on Stacking. The method uses Multiple Linear Regression Model as the second layer model to fuse the results of shadow extraction obtained by NDUI, NIS and C3 which are used as the first-layer base learners of the model. The comparison experiments demonstrate that the proposed method is superior to these traditional shadow operators such as NDUI, NSI and C3 in the accuracy of building shadow extraction. Finally, the height of the buildings is estimated using the shadow lengths and the imaging geometry method. The experimental results show that the average error of the building's height estimated is less than 1m. © 2023 SPIE.

关键词： Decision making

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An internally damped inertial platform for marine gravimetry and a test case in the South China Sea

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Journal of Oceanology and Limnology 2023年第2期41卷 816-829页

作者： Pengfei WU Lin WU Lifeng BAO Long WANG Bo WANG Danling TANG State Key Laboratory of Geodesy and Earth’s Dynamics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430077China University of Chinese Academy of Sciences Beijing 100049China Guangdong Remote Sensing Center for Marine Ecology and Environment(GDRS) Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)Guangzhou 511458China School of Geography and Information Engineering China University of GeosciencesWuhan 430074China

To dampen periodic off-levelling motions within an inertial platform while undergoing horizontal accelerations of the same period and to achieve a levelling accuracy of a few tens of arcseconds with that system,an internally damped inertial platform for a marine scalar gravity system was the *** for attenuating horizontal acceleration and reducing off-levelling error by a satisfactory gyro-levelling loop,which are fundamental to the internally damped inertial platform,were designed and *** addition,phase delays are introduced by the levelling *** resulting off-levelling gravity errors were analyzed and modeled.A series of tests on a motion simulator were performed in laboratory for a variety of simulated sea *** found that the motion of the platform is a function of the amplitude and period of the simulated ship motions and ranges between 10 and 40 *** addition,the phase lag between platform motion and ship motion is not constant but ranges 180°-270°,depending on the period and amplitude of the ***,the platform,on which a gravimeter was mounted,was installed on the R/V Shiyan 2 to conduct a gravity survey in the South China *** rough sea conditions,it was shown that in short periods of 2-30 s,the off-levelling angle was less than 30 arcseconds,and the phase lagged the horizontal acceleration by 230°-260°.From a repeated survey line and intersecting survey points,the estimated errors of gravity measurements were between 1.3 and 1.7 *** marine measurements results were compared with those of satellite altimetry data and show a mean value of 0.5 mGal in a standard deviation of 1.5 mGal.

关键词： internally damped platform gyro-levelling loop marine gravimetry

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Assessing the Impact of Physical Configuration and Lead Time on WRF Forecasting of an Extreme Wind Event

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Journal of Meteorological Research 2025年第1期39卷 154-171页

作者： Rocío OTERO Matías SUAREZ Edgardo PIEROBON Leandro MATURANO Ignacio MONTAMAT Juan Ezequiel SANCHEZ Lucia SANDALIO Andrés RODRIGUEZ Denis POFFO Hydrometeorology Laboratory Department of ExactPhysical and Natural SciencesNational University of CordobaCórdobaX5016GCAArgentina Institute for Advanced Studies in Engineering and Technology National Scientific and Technical Research CouncilCordobaX5016GCAArgentina Radar and Remote Sensing Laboratory Department of MathematicsAstronomyPhysics and Computer ScienceNational University of CordobaCordobaX5016HUAArgentina

The central region of Argentina is known to be a source of some most extreme weather events in the world,which are partially associated with the passage of cold fronts accompanied often by extreme wind *** may cause severe property damage and even loss of human ***,there is a lack of studies that evaluate the performance of the numerical weather prediction(NWP)models such as weather research and forecasting(WRF)model in anticipating this type of weather in the *** study compares the performance of the operational WRF in Argentina using four combinations of various planetary boundary layer(PBL)and microphysics parameterization schemes under varied lead times in predicting an extreme wind event(gusts>30 m s^(-1))in Central *** results demonstrate that the WRF model is capable of providing an acceptable prediction of wind speed during an extreme *** is found that no single combination outperforms the others,although there is a slight tendency for Combination A,which utilizes the Mellor-Yamada-Janjic(MYJ)parameterization for the PBL and the Eta similarity parameterization for the surface layer,to more accurately capture the extreme wind *** with wind gust observations at five weather stations,the wind gust parameterization predicted the intensity and occurrence time of the peak wind,with an acceptable bias(time of peak<±1 h).Analysis of grid configurations(resolutions of 4 vs 9/3/1 km)revealed that higher resolution does not imply an improvement in the wind gust forecast for this particular *** regard to lead time,a shorter lead time does not necessarily result in more accurate ***,it is beneficial to conduct multiple sensitivity runs in order to obtain and understand the dispersion of forecasted wind speeds.

关键词： extreme wind wind event weather research and forecasting(WRF)model wind gust forecast cold front lead time

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Assessing teleconnection influences on the spatial and temporal patterns of meteorological drought in Northwest China

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Big Earth Data 2024年第4期8卷 703-731页

作者： Akinwale T.Ogunrinde Xue Xian Paul Adigun Ifeoluwa S.Adawa Dan Zhao Zhanghong Xing Igbekoyi J.Temitope Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouGansuChina Department of Engineering Mechanics and Energy University of TsukubaTsukubaJapan Department of Space Environment Institute of Basic and Applied SciencesEgypt-Japan University of Science and Technology(E-JUST)New Borg El-Arab CityAlexandriaEgypt Department of Remote Sensing and GIS Federal University of TechnologyAkureNigeria

This study delves into the complex relationship between teleconnection patterns and meteorological drought in Northwest China,highlighting the crucial influence of global circulation indices on regional drought *** analyzing precipitation and temperature data from 1962 to 2022 using the CN05.1 datasets and incorporating various global circulation indices,the study employs the Standardized Precipitation Evapotranspiration Index(SPEI)to delineate drought *** the Modified Mann-Kendall test and segmented models for trend and change point detection,along with cross wavelet transforms(XWT)and wavelet coherence(WTC)analysis to examine the impact of 15 global circulation indices,the study uncovers significant spatial and temporal climatic *** indicate a significant increase in temperature and precipitation,with March-April-May(MAM)season showing pronounced drought severity mainly due to a significant temperature rise with a value of 0.0420℃/*** point analysis reveals pivotal shifts in climate,highlighting the region’s susceptibility to climate *** study identified strong correlations between drought occurrences and global circulation indices like the Artic Oscillation(AO),Atlantic Multidecadal Oscillation(AMO),Pacific Decadal Oscillation(PDO)and the Southern Oscillation Index(SOI),especially within a 4-8 year timeframe,pointing to the significant role of teleconnections in affecting local drought *** insights are vital for formulating effective drought management and climate adaptation strategies in arid and semi-arid regions,offering valuable guidance for policymakers and researchers focused on improving water resource management and enhancing climate resilience in such vulnerable environments.

关键词： Trend analysis wavelet analysis global climate indices drought index change point detection

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EnMAP Operations in Light of Data Product Statistics 14

EnMAP Operations in Light of Data Product Statistics

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14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in remote sensing, WHISPERS 2024

作者： Habermeyer, M. Baumann, S. Carmona, E. Chabrillat, S. Krieger, V. Porta, L. La Pinnel, N. Pato, M. Wirth, K. German Remote Sensing Data Center DLR Wessling82234 Germany Remote Sensing Technology Institute DLR Wessling82234 Germany Helmholtz Center Potsdam GFZ German Research Center for Geosciences Potsdam14473 Germany Leibniz University Hannover Institute of soil science Hannover30419 Germany Space Administration DLR Bonn53227 Germany German Space Operations Center DLR Wessling82234 Germany

ISBN: (纸本)9798331513139

The hyperspectral mission EnMAP has been launched in April 2022 delivering data products with a quality exceeding the expectations. Still, there were challenges in the context of planning and processing the data, especially serving the demand over regions with many acquisition requests. The EnMAP Ground Segment (GS) provides the infrastructure responsible for the operation of the mission and it acts as the interface between the users and the satellite. In this contribution we present the up-to-date status of EnMAP mission operations when the system has been in operation for over two and a half years. The latest updates that have been introduced in the tasking of the instrument such as the background and the foreground missions accompanied by the enabling of back-to-back imaging are presented. The result of the incorporation of the additional ground station is shown as well as the status of the reprocessing. © 2024 IEEE.

关键词： Satellite ground stations

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Near-Field High-Speed Target InISAR Imaging Based on Wavenumber Domain Interpolation

Near-Field High-Speed Target InISAR Imaging Based on Wavenum...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Chen, Yijiang Wei, Guohua Li, Yuzhao Wang, Xu Chen, Jichi Beijing Institute of Technology School of Information and Electronics Beijing China Beijing Institute of Remote Sensing Equipment Science and Technology on Electromechanical Dynamic Control Laboratory Beijing China

ISBN: (纸本)9781665452366

In this paper, a near-field high-speed target InISAR imaging method based on wavenumber domain interpolation is proposed. The focusing of the ISAR image is accomplished by performing Stolt interpolation on the echo signal in the wavenumber domain. Three-dimensional imaging is achieved by interferometric imaging algorithms. The algorithm simulation is carried out using the scattering point model generated by the electromagnetic simulation software, and the validity and stability of the algorithm are verified. © 2022 IEEE.

关键词： Interpolation

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Layout graph model for semantic façade reconstruction using laser point clouds

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Geo-Spatial Information science 2021年第3期24卷 403-421页

作者： Hongchao Fan Yuefeng Wang Jianya Gong Department of Civil and Environmental Engineering Norwegian University of Science and TechnologyTrondheimNorway State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina

Building façades can feature different patterns depending on the architectural style,function-ality,and size of the buildings;therefore,reconstructing these façades can be *** particular,when semantic façades are reconstructed from point cloud data,uneven point density and noise make it difficult to accurately determine the façade *** inves-tigating façade layouts,Gestalt principles can be applied to cluster visually similar floors and façade elements,allowing for a more intuitive interpretation of façade *** propose a novel model for describing façade structures,namely the layout graph model,which involves a compound graph with two structure *** the proposed model,similar façade elements such as windows are first grouped into clusters.A down-layout graph is then formed using this cluster as a node and by combining intra-and inter-cluster spacings as the ***,a top-layout graph is formed by clustering similar *** extracting relevant parameters from this model,we transform semantic façade reconstruction to an optimization strategy using simulated annealing coupled with Gibbs *** façade point cloud data with different features were selected from three datasets to verify the effectiveness of this *** experimental results show that the proposed method achieves an average accuracy of 86.35%.Owing to its flexibility,the proposed layout graph model can deal with different types of façades and qualities of point cloud data,enabling a more robust and accurate reconstruc-tion of façade models.

关键词： Building façade semantic reconstruction point cloud compound graph model stochastic process

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SwinUCDNet: A UNet-like Network With Union Attention for Cropland Change Detection of Aerial Images 30

SwinUCDNet: A UNet-like Network With Union Attention for Cro...

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30th International Conference on Geoinformatics, Geoinformatics 2023

作者： Wu, Zehua Chen, Ying Meng, Xiaoliang Huang, Yiwen Li, Tinghao Sun, Jieyan Wuhan University School of Remote Sensing and Information Engineering Wuhan China Guangxi Taihui Information Technology Co. Ltd Guilin China Hubei University School of Resources and Environmental Science Wuhan China

ISBN: (纸本)9798350344240

Cropland conversion disrupt local agricultural production systems and pose a serious threat to global food security. The use of remote sensing for change detection (CD) can detect and prevent such events in a timely manner. However, existing CD methods struggle to produce change detection results efficiently and accurately. Additionally, the limited receptive field of the convolution process prevents CNN-based approaches from catching long-range relationships. The Vision Transformer, on the other hand, excels in a variety of vision-related tasks, including picture classification, object detection, and semantic segmentation, and has significant promise for modeling long-range relationships. Because of this, in this research we suggest a UNet-like network with union attention for detecting changes in cropland using aerial remote sensing images. We utilize a Swin Transformer backbone as the encoder and an effective union-attention Transformer block to build the decoder in a Transformer-based encoder-decoder structure. The application of a multibranch prediction head with two CNN classifiers yields change maps and enhances deep layer supervision. The effectiveness and advantages of the SwinUCDNet have been demonstrated through comparative experiments with several CD methods. © 2023 IEEE.

关键词： Antennas

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Optimal Consensus Control of Nonlinear Multi-Agent Systems Based on Multi-step Policy Iteration 4

Optimal Consensus Control of Nonlinear Multi-Agent Systems B...

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4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Zhu, Zekun Huang, Di School of Cyber Science and Engineering Wuhan University Wuhan China Institute of Aerospace Science and Technology School of Remote Sensing and Information Engineering Wuhan University Hubei Province Wuhan430072 China

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

A combination of multi-step technology and policy iteration approach is introduced into the consistency control of multi-agent systems in this article. The multi-step technique is improved and applied to a multi-agent systems, and a multi-step policy iteration based on Q-learning is put forward. Through a finite number of multi-step iterations in advance, the multi-agent system can converge faster and achieve the desired goal. The proof of algorithm convergence is also given later. The optimal Q-function together with optimal control law are estimated respectively by constructing approximators through an ActorCritic neural network framework. Finally, a simulation result verifies the superiority of the this approach. © 2022 IEEE.

关键词： Reinforcement learning

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Using machine learning and satellite data from multiple sources to analyze mining,water management,and preservation of cultural heritage

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地球空间信息科学学报（英文版） 2024年第3期27卷 552-571页

作者： Joaquim J.Sousa Jiahui Lin Qun Wang Guang Liu Jinghui Fan Shibiao Bai Hongli Zhao Hongyu Pan Wenjing Wei Vanessa Rittlinger Peter Mayrhofer Ruth Sonnenschein Stefan Steger Luís Paulo Reis School of Science and Technology University of Trás-Os-Montes E Alto DouroVila RealPortugal Centre for Robotics in Industry and Intelligent Systems(CRIIS) INESC Technology and SciencePortoPortugal Aerospace Information Research Institute Chinese Academy of SciencesBeijingChina International Research Center of Big Data for Sustainable Development Goals BeijingChina College of Resources and Environment University of Chinese Academy of SciencesBeijingChina Application system Department Ⅰ China Siwei Surveying and Mapping Technology Co.LtdBeijingChina China Aero Geophysical Survey and Remote Sensing Center for Natural Resources BeijingChina College of Marine Science and Engineering Nanjing Normal UniversityNanjingChina Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengduChina College of Marine Science and Engineering Nanjing Normal UniversityNanjingChina Institute for Earth Observation Eurac ResearchBolzanoItaly Faculty of Engineering University of PortoPortoPortugal

remote sensing,particularly satellite-based,can play a valuable role in monitoring areas prone to *** high spatial and temporal coverage provided by satellite data can be used to reconstruct past events and continuously monitor sensitive areas for potential *** paper presents a range of techniques and methods that were applied for in-depth analysis and utilization of Earth observation data,with a particular emphasis on:(1)detecting mining sub-sidence,where a novel approach is proposed by combining an improved U-Net model and Interferometry Synthetic Aperture Radar(InSAR)*** results showed that the Efficient Channel Attention(ECA)U-Net model performed better than the U-Net(baseline)model in terms of Mean Intersection over Union(MIoU)and Intersection over Union(loU)indicators;(2)monitor-ing water conservancy and hydropower *** Xiaolangdi multipurpose dam complex was monitored using Small BAsline Subsets(SBAS)InSAR method on Sentinel-1 time series data and four small regions with high deformation rates were identified on the slope of the reservoir bank on the north *** dam body also showed obvious deformation with a velocity exceeding 60 mm/a;(3)the evaluation of the potential of InSAR results to integrate monitoring and warning systems for valuable heritage and architectural *** overall outcome of these methods showed that the use of Artificial Intelligence(AI)techniques in combination with InSAR data leads to more efficient analysis and interpretation,resulting in improved accuracy and prompt identification of potential hazards;and(4)finally,this study also presents a method for detecting landslides in mountainous regions,using optical *** new temporal landslide detection method is evaluated over a 7-year analysis period and unlike conventional bi-temporal change detection methods,this approach does not depend on any prior-knowledge and can potentially detect landslides over extended periods of time

关键词： Landslide detection InSAR time series analysis machine learning heritage preservation mining subsidence water conservancy infrastructures

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