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47th International Conference on Telecommunications and Signal Processing, TSP 2024

作者： Nikos, Economou Sobhi, Nasir Said, Al Abri Al Shaqsi, Bader Hamdan, Hamdan School of Mineral Resources Engineering Technical University of Crete Applied Geophysics Lab Chania Greece Sultan Qaboos University College of Science Department of Earth Sciences Muscat Oman Sharjah University Petroleum Geosciences and Remote Sensing Program Department of Applied Physics and Astronomy United Arab Emirates

ISBN: (纸本)9798350365597

Migration velocity of Ground Penetrating Radar (GPR) data is a low wavenumber attribute crucial for migration. Obtaining a migration velocity model, which is considered closer to a Root Mean Square (RMS) model, from zero-offset (ZO) data requires analysis of the available diffractions whose density and (x, t) coverage is random. Thus, accuracy and efficiency of such a velocity model either for migration or its usage for interval velocity model estimation is not guaranteed. Here, with the aid of an Artificiaal Intelligence (AI) algorithm, which detects diffractions and usage of their kinematic information, we generate a diffraction velocity model used for the assignment of 2D weights for weighted multipath summation. The scope is to efficiently focus the scattered energy within a GPR section. We describe this methodology and demonstrate its application in enhancing the lateral continuity of reflections. We compare it with the multipath summation using lD weights with simulated data and present its application on marble assessment GPR data for imaging cracks in the subsurface structure. © 2024 IEEE.

关键词： Diffraction

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Research on Optimization Method of Beam Shaping Based on Ultra High Sensitivity Magnetic Field Measurement

Research on Optimization Method of Beam Shaping Based on Ult...

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International Conference on Electronic Measurement and Instruments, ICEMI

作者： Xu Chen Wupeng Wang Jialin Mei Hongli Li Jingxuan Li Jiankun Sun Science and Technology on Millimeter-wave Laboratory Beijing Institute of Remote Sensing Equipment Beijing China

This article proposes a beam shaping optimization method based on ultra-high sensitivity magnetic field measurement, which is used to optimize the ultra-high sensitivity magnetic field measurement device for atomic spin effect. Based on the structure and working principle of an ultra-high sensitivity, as well as the laser beam covering the sensitive element alkali metal gas chamber of the entire device, it is inferred that a uniform beam has certain research significance for the sensitivity of magnetic field measurement devices. Analysis of ultra-high sensitivity magnetic field measurement devices based on atomic spin effect, sensitivity experiments were conducted. At a frequency of 30 Hz, the sensitivity of the magnetic field device without beam optimization was 30.12 fT/Hz 1/2 , while the sensitivity of the magnetic field device with beam optimization was 17.82 fT/Hz 1/2 . A comprehensive analysis of the experimental results shows that the method based on phase modulated uniform beam has certain research significance for the sensitivity of the device.

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Study of coexisting upstream solitary wave packet and downstream wakes induced by Diaoyu Dao and its affiliated islands detected by satellite sun glitter

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Acta Oceanologica Sinica 2023年第4期42卷 1-15页

作者： Lina Cai Xiaoqi Jiang Xiaojun Yan Yan Bai Jianqiang Liu Menghan Yu Rong Tang Jingjing Jiang Marine Science and Technology College Zhejiang Ocean UniversityZhoushan 316004China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China Key Laboratory of Space Ocean Remote Sensing and Application of Ministry of Natural Resources National Satellite Ocean Application ServiceBeijing 100081China

Taking the advantage of sun glitter(SG)observed from high-resolution satellites Gaofen-1(GF-1)and Gaofen-6(GF-6),a new method named Shield and Vortex 1-2(SAV1-2)for extracting spatial texture information from sun glitter was *** surface texture detail information around Diaoyu Dao and its affiliated islands was extracted using ***,the dynamic characteristics of the water environment were analyzed by combining the water color,temperature and dynamic *** results show the following information.(1)Stable westward shield effect and eastward Karman vortex streets,extracted from SG,appear upstream(westward)and downstream(eastward)of the Diaoyu Dao and its affiliated islands respectively.(2)The dominant direction of the Kuroshio Current in the Diaoyu Dao and its affiliated islands area is east,the Diaoyu Dao and its affiliated islands interacting with Kuroshio,inducing western shield and eastern shelter and ***,wave intervals of the shield in front of the island range from hundreds to thousands of metres,and extend wider than the island itself.(3)Combining with high-resolution sea surface temperature(SST)and chlorophyll a(Chl a)concentration,the directional changes of water color elements are mutually supported and proved with the stable shield(wave packet)effect in the west and vortex street effect in the *** change of SST upstream of the island(western shield area)is not significant,the temperature in the downstream shelter area decreases slightly,and the SST in the downstream wake area shows a general trend of obvious *** wake area is dominated by Karman vortex streets in shape,supplementing by *** concentration of Chl a in the west shield of island is as low as that in downstream shelter area,while it increases significantly in the downstream wake area with shape in eddy or ribbon.(4)The SAV methods of extracting sea surface texture detail using SG can be widely used in different sea areas and water quali

关键词： sun glitter westward shield Diaoyu Dao and its affiliated islands GF-1/6

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Formation and growth of nanophase iron particles on the surface of Mercury revealed by experimental study

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Acta Geochimica 2024年第4期43卷 774-784页

作者： Ronghua Pang Yang Li Chen Li Pengfei Zhang Zhuang Guo Sizhe Zhao Han Yu Li Wang Chenxi Zhu Shuangyu Wang Kairui Tai Qinwei Zhang Yuanyun Wen Rui Li Center for Lunar and Planetary Sciences Institute of GeochemistryChinese Academy of SciencesGuiyangChina University of Chinese Academy of Sciences BeijingChina Center for Excellence in Comparative Planetology Chinese Academy of SciencesHefeiChina Institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijingChina State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacaoChina Faculty of Metallurgical and Energy Engineering Kunming University of Science and TechnologyKunmingChina State Key Laboratory of High Performance Ceramics and Superfi ne Microstructures Shanghai Institute of CeramicsChinese Academy of SciencesShanghaiChina Laboratory for Space Environment and Physical Sciences Harbin Institute of TechnologyHarbinChina Research Center for Planetary Science College of Earth ScienceChengdu University of TechnologyChengduChina Key Laboratory of Planetary Sciences Purple Mountain ObservatoryChinese Academy of SciencesNanjingChina

Space weathering is a primary factor in altering the composition and spectral characteristics of surface materials on airless ***,current research on space weathering focuses mainly on the Moon and certain types of *** particular,the impacts of meteoroids and micrometeoroids,radiation from solar wind/solar flares/cosmic rays,and thermal fatigue due to temperature variations are being *** weathering produces various transformation products such as melted glass,amorphous layers,iron particles,vesicles,and solar wind *** in turn lead to soil maturation,changes in visible and near-infrared reflectance spectra(weakening of characteristic absorption peaks,decreased reflectance,increased near-infrared slope),and alterations in magnetism(related to small iron particles),collectively termed the“lunar model”of space weathering *** to the Moon and asteroids,Mercury has unique spatial environmental characteristics,including more intense meteoroid impacts and solar thermal radiation,as well as a weaker particle radiation environment due to the global distribution of its magnetic ***,the lunar model of space weathering may not apply to *** studies have extensively explored the eff ects of micrometeoroid ***,this work focuses on the eff ects of solar-wind particle radiation in global magnetic-field distribution and on the weathering transformation of surface materials on Mercury under prolonged intense solar *** the utilization of highvalence state,heavy ion implantation,and vacuum heating simulation experiments,this paper primarily investigates the weathering transformation characteristics of the major mineral components such as anorthite,pyroxene,and olivine on Mercury’s surface and compares them to the weathering transformation model of the *** experimental results indicate that ion implantation at room temperature is insufficient to generate np-Fe^(0)directly but

关键词： Mercury Space weathering Np-Fe^(0) Solar thermal radiation Solar wind

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Research for Bridge Deformation Monitoring Based on High Frequency and Multi-System GNSS 10

Research for Bridge Deformation Monitoring Based on High Fre...

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10th Academic Conference of Geology Resource Management and Sustainable Development 2022

作者： Jiang, Xiuwei Shi, Yun Yang, Ruibin Collage of Surveying and Mapping Science and Technology Xi'an University of Science and Technology Shaanxi Xi’an710054 China China Coal Aerial Survey Remote Sensing Group Co. Ltd. Shaanxi Xi’an710199 China

ISBN: (纸本)9781713867821

The rapid development and improvement of GNSS and the improvement of receiver sampling rate will undoubtedly be of great benefit to improving the data processing efficiency and deformation monitoring accuracy in the field of deformation monitoring. However, the relevant research on how to use the two effects in detail is not yet in-depth. Through the GNSS deformation monitoring of a bridge, this paper uses related software to analyze the quality of the monitoring data and calculate the data, expounds the relevant indicators for evaluating the data quality, and demonstrates the accuracy difference of the data under various sampling rates;further explains the internal mechanism and deep advantages of multi-system fusion to provide guarantee for high-precision positioning. Through the comparative study, it is explained that the 50Hz high-frequency data can monitor the internal mechanism and reason of the small systematic error than the lower sampling rate data. Although the above analysis results have limitations, they provide theoretical support for the analysis of factors affecting bridge vibration and provide experience and reference for the subsequent deformation monitoring of large buildings and processing related high-frequency multi-system data. © Geology Resource Management and Sustainable Development *** rights reserved.

关键词： Factor analysis

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Invariant learning as a pathway to robust potato yield prediction 26

Invariant learning as a pathway to robust potato yield predi...

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remote sensing for Agriculture, Ecosystems, and Hydrology XXVI Conference 2024

作者： Neophytides, Stelios P. Tsoumas, Ilias Tsalakou, Andria Christoforou, Michalakis Mavrovouniotis, Michalis Eliades, Marinos Papoutsa, Christiana Kontoes, Charalampos Hadjimitsis, Diofantos G. ERATOSTHENES Centre of Excellence 82 Franklinou Roosvelt Limassol Cyprus Beyond Centre of EO Research & Satellite Remote Sensing National Observatory of Athens 6 Karystou Athens Greece Department of Civil Engineering and Geomatics Cyprus University of Technology Limassol Cyprus Department of Agricultural Science Biotechnology and Food Science Cyprus University of Technology Limassol Cyprus Wagenigen University & Research 4 Droevendaalsesteeg Wagenigen Netherlands

ISBN: (纸本)9781510680906

Yield prediction is an essential task to sustain the food market and to ensure the food for the world in the upcoming decades. Potatoes (Solanum tuberosum L.) are a vital staple food for many countries in the world and the advancement of accurate yield prediction will aid in promoting the agricultural industry. Potato is one of the most exportable agricultural products in Cyprus. Artificial Intelligence (AI) and remote sensing (RS) based agriculture monitoring has showed a massive impact in yield estimation in recent years. Monitoring vegetation indices like Normalized Difference Vegetation Index during the phenological stages of potatoes can provide identical insights into crop growth and yield. In this study, our focus lies on robust yield prediction across varied spatial and temporal dimensions. Specifically, we explore two distinct regions in Cyprus (i.e seaside and interior), each characterized by unique local agroclimatic conditions. The dataset encompasses potato yield data, in-situ meteorological data and vegetation indices derived by Sentinel-2 for a 7-years period (2017-2023). Thus, we test invariant learning against traditional ML methods in terms of spatial robustness and data drift issues. © 2024 SPIE.

关键词： Agri-food

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Advances in Atmospheric Radiation:Theories,Models,and Their ***Ⅱ:Radiative Transfer Models and Related Applications

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Journal of Meteorological Research 2024年第2期38卷 183-208页

作者： Hua ZHANG Feng ZHANG Lei LIU Yuzhi LIU Husi LETU Yuanjian YANG Zhengqiang LI Kun WU Shuai HU Ming LI Tie DAI Fei WANG Zhili WANG Yuxiang LING Yining SHI Chao LIU State Key Laboratory of Severe Weather and Institute of Climate System Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyNanjing 210044 Department of Atmospheric and Oceanic Sciences&Institute of Atmospheric Sciences Fudan UniversityShanghai 200438 College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073 College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000 State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101 School of Atmospheric Physics Nanjing University of Information Science&TechnologyNanjing 210044 School of Atmospheric Sciences Nanjing University of Information Science&TechnologyNanjing 210044 Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029 CMA Earth System Modeling and Prediction Centre China Meteorological Administration(CMA)Beijing 100081

The subject of“atmospheric radiation”includes not only fundamental theories on atmospheric gaseous absorption and the scattering and radiative transfer of particles(molecules,cloud,and aerosols),but also their applications in weather,climate,and atmospheric remote sensing,and is an essential part of the atmospheric *** review includes two parts(Part I and PartⅡ);following the first part on gaseous absorption and particle scattering,this part(PartⅡ)reports the progress that has been made in radiative transfer theories,models,and their common applications,focusing particularly on the contributions from Chinese *** recent achievements on radiative transfer models and methods developed for weather and climate studies and for atmospheric remote sensing are firstly ***,the associated applications,such as surface radiation estimation,satellite remote sensing algorithms,radiative parameterization for climate models,and radiative-forcing related climate change studies are summarized,which further reveals the importance of radiative transfer theories and models.

关键词： atmospheric radiation radiative transfer remote sensing radiative forcing climate change

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Dynamic range design and on orbit evaluation of the Polarized Scanning Atmospheric Corrector (PSAC) onboard HJ-2 A/B Satellites

Dynamic range design and on orbit evaluation of the Polarize...

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2022 Applied Optics and Photonics China: Optical sensing, Imaging, and Display technology, AOPC 2022

作者： Hao, Dong Zhenhai, Liu Lili, Qie Xuefeng, Lei Yun, Wang Wen, Ge Xinxin, Zhao Peng, Zou Maoxin, Song Jin, Hong Anhui Institute of Optics and Fine Mechanics Hefei Institutes of Physical Science Chinese Academy of Sciences Anhui Hefei230031 China University of Science and Technology of China Anhui Hefei230026 China Key Laboratory of Optical Calibration and Characterization of Chinese Academy of Sciences Anhui Hefei230031 China State Environmental Protection Key Laboratory of Satellite Remote Sensing Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing100101 China

ISBN: (纸本)9781510662285

The reasonable design of the dynamic range of spaceborne remote sensor is the basic guarantee for its effective observation in-orbit, but the complex radiation characteristics of the earth-atmosphere system and other factors have brought some challenges to its design. Aiming at the Polarized Scanning Atmospheric Corrector (PSAC) on board Huanjing-2A/B(HJ-2A/B) satellite, the dynamic range of apparent radiance observed by PSAC is analyzed and obtained according to its detection target and band setting, based on the method of statistics of historical data of remote sensors such as Moderate-resolution Imaging Spectroradiometer (MODIS), considering the complex radiation characteristics of earth atmosphere system and scale effect. In order to meet the requirements of dynamic range design and ensure better radiation resolution, PSAC designed four gear adjustable electronic gain (relative gain is 1, 2, 3, 4), and carried out the system radiation response gain adjustment and dynamic range test under laboratory conditions. The statistical results of on orbit observation data of PSAC show that the design results of its dynamic range meet the needs of on-orbit observation application, and lay a foundation for the retrieval of atmospheric and aerosol parameters and the realization of atmospheric correction objectives. © 2023 SPIE.

关键词： remote sensing

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Reconciled estimation of Antarctic ice sheet mass balance and contribution to global sea level change from 1996 to 2021

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science China Earth sciences 2024年第11期67卷 3562-3578页

作者： Rongxing LI Guojun LI Gang HAI Huan XIE Yuan CHENG Wei CHEN Xiangbin CUI Minghu DING Chunchun GAO Tong HAO Changqing KE Chuanjin LI Jin LI Yan LIU Jiangjun RAN Jiawen REN Qiang SHEN Yunzhong SHEN Hongling SHI Songyun WANG Zemin WANG Jingang ZHAN Baojun ZHANG Min ZHONG Chunxia ZHOU Center for Spatial Information Science and Sustainable Development Applications Tongji UniversityShanghai 200092China College of Surveying and Geo-informatics Tongji UniversityShanghai 200092China Institute for the Conservation of Cultural Heritage School of Cultural Heritage and Information ManagementShanghai UniversityShanghai 200444China College of Resource Environment and Tourism Hubei University of Arts and ScienceXiangyang 441053China Polar Research Institute of China Shanghai 200136China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China College of Geodesy and Geomatics Shandong University of Science and TechnologyQingdao 266590China School of Geography and Ocean Science Nanjing UniversityNanjing 210023China State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China State Key Laboratory of Remote Sensing Science Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Department of Earth and Space Sciences Southern University of Science and TechnologyShenzhen 518055China State Key Laboratory of Geodesy and Earth’s Dynamics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430077China Center for Space Research University of Texas at AustinAustin TX 78759USA Chinese Antarctic Center of Surveying and Mapping Wuhan UniversityWuhan 430079China School of Geospatial Engineering and Science Sun Yat-sen UniversityZhuhai 519082China

The Antarctic Ice Sheet(AIS)has been losing ice mass and contributing to global sea level rise(GSLR).Given its mass that is enough to cause~58 m of GSLR,accurate estimation of mass balance trend is critical for AIS mass loss monitoring and sea level rise ***,we present an improved approach to reconciled solutions of mass balance in AIS and its regions from multiple contributing solutions using the input-out,altimetric,and gravimetric *** comparison to previous methods,such as IMBIE 2018,this approach utilizes an adaptive data aggregation window to handle the heterogeneity of the contributing solutions,including the number of solutions,temporal distributions,uncertainties,and estimation *** improved the regression-based method by using a two-step procedure that establishes ensembled solutions within each method(input-output,altimetry,or gravimetry)and then estimates the method-independent reconciled *** the first time,16contributing solutions from 8 Chinese institutions are used to estimate the reconciled mass balance of AIS and its regions from1996 to *** results show that AIS has lost a total ice mass of~3213±253 Gt during the period,an equivalent of~8.9±0.7 mm of *** is a sustained mass loss acceleration since 2006,from 88.1±3.6 Gt yr^(-1)during 1996–2005 to 130.7±8.4 Gt yr^(-1)during 2006–2013 and further to 157.0±9.0 Gt yr^(-1)during 2014–*** mass loss signal in the West Antarctica and Antarctic Peninsula is dominant and clearly presented in the reconciled estimation and contributing solutions,regardless of estimation methods used and fluctuation of surface mass *** and challenges remain in mass balance estimation in East *** reconciled estimation approach can be extended and applied for improved mass balance estimation in the Greenland Ice Sheet and mountain glacier regions.

关键词： Antarctic Ice Sheet Ice mass loss acceleration Sea level rise Reconciled estimation

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Using Direct-Georeferencing with a MEMS-LiDAR to Classify Traffic Signs, an Automatic Approach

Using Direct-Georeferencing with a MEMS-LiDAR to Classify Tr...

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International Conference on Smart Sensors and Application (ICSSA)

作者： Xuanzhi Liu Ehsan Khoramshahi Ruochen Zhang Chen Chen Eetu Puttonen Yuwei Chen Department of Remote Sensing and Photogrammetry Finnish Geospatial Research Institute Espoo Finland Photogrammetry and remote-sensing section Visionium Oy Helsinki Finland School of Engineering Science Lappeenranta University of Technology Lahti Finland

ISBN: (数字)9798350354294

ISBN: (纸本)9798350354300

In this article, a micro-electromechanical systems light-detection and ranging (MEMS-LiDAR) based sampling method for traffic sign recognition is presented. MEMS-LiDAR is an emerging remote-sensing technology in the autopilot (AP) area. Existing published scientific reports have been less concerned with using point-cloud datasets sampled from MEMS-LiDAR, as the MEMS-LiDAR is a recently matured commercial technology. In this paper, we propose utilizing a MEMS-LiDAR system (Robosense-M1) for data acquisition in a mobile laser scanning (MLS) in an urban environment. Subsequently, two methods related to clustering and point-cloud 3D geometric feature extraction are introduced to segment and filter out plain-like objects. Finally, a support vector machine method (SVM) is investigated for the task of traffic-sign classification. Our results successfully demonstrate the effectiveness of the proposed method with K1-score based on the MEMS-LiDAR sampled data to be 83.33%. This result shows the effectiveness of the proposed method.

关键词： Support vector machines Three-dimensional displays Accuracy Urban areas Semantics Millimeter wave radar Feature extraction Sampling methods Robustness remote sensing

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