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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Chen, Yue Liu, Peng Wang, Feng Zhao, Bing-Ji Zhang, Qing-Jun Jin, Ya-Qiu Ministry of Education Fudan University Key Laboratory for Information Science of Electromagnetic Waves Shanghai China Institute of Remote Sensing Satellite China Academy of Space Technology Beijing China

ISBN: (纸本)9781733509657

To simulate the MGC parameters of GEO SAR, this paper first demonstrate the trajectory and satellite-ground relationship, then, the scattering characteristics of typical natural scenes are established by using the real Digital Elevation Model (DEM) and the physical optics algorithm. The MGC parameters are obtained by the radar equation, the MGC parameters of GEO SAR are finally designed based on the simulation results © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Synthetic aperture radar

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Spatial and Temporal Distribution of Near-Surface Methane Concentration in Northwest China Based on GOSAT Satellite Data 2

Spatial and Temporal Distribution of Near-Surface Methane Co...

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2022 2nd International Conference on Mechatronics technology and Aerospace Engineering, ICMTAE 2022

作者： Lian, Haotian Shi, Xiaoqi Shen, Yufei Wang, Chuyu Reading Academy Nanjing University of Information Science and Technology Nanjing Jiangsu210044 China School of Geography and Remote Sensing Sciences Xinjiang University Urumqi Xinjiang830046 China

Methane (CH4) is a common greenhouse gas that plays an important role in global warming and affects people's production and life. In order to study the temporal and spatial distribution situation of methane concentration in northwest China (Shaanxi, Gansu, Ningxia, Xinjiang, Qinghai), this article used L4B level data products monitored by GOSAT satellite from 2009 to 2019 to study the temporal and spatial distribution characteristics of near-surface methane concentration in northwest China. The results of the analysis were as follows. Firstly, the annual average concentration of near-surface methane in northwest China was in a rising state, and the maximum annual average concentration increment was in 2016. Secondly, seasonal variation of methane concentration: Autumn>Summer>Spring>Winter. Finally, spatial variation of the annual average methane concentration: Shaanxi, Ningxia, and southern Gansu>northwest Xinjiang>other northwest China regions. The methane concentration decreased from the bottom to the top gradually. © Published under licence by IOP Publishing Ltd.

关键词： Methane

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A new approach of initial localization for planetary lander with the Bag of Visual Words model

A new approach of initial localization for planetary lander ...

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2024 International Conference on remote sensing, Mapping, and Geographic Information Systems, RSMG 2024

作者： Feng, Yaxuan Xu, Xiong Xie, Huan Feng, Yongjiu Ye, Zhen Wang, Chao Tong, Xiaohua College of Surveying and Geo-informatics Tongji University Shanghai China Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration Shanghai China Shanghai Institute of Intelligent Science and Technology Shanghai China

ISBN: (纸本)9781510685826

Precise localization of a planetary lander during descent phase is crucial for ensuring a safe landing. Terrain Relative Navigation (TRN) is a critical technology for achieving precise localization in hazardous terrains. Initial localization which aligns the descent image from lander camera with the reference map, is essential for TRN to generate precise localization results. This paper introduces a novel initial localization method utilizing the Bag of Visual Words (BoVW) model to pinpoint the descent image on the global map. This method enhances localization efficiency by narrowing the search range for image-map matching. This approach was validated with both synthesized and actual descent image data from the Mars 2020 mission. © 2024 SPIE.

关键词： Planetary landers

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A review of federated learning in renewable energy applications:Potential,challenges,and future directions

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Energy and AI 2024年第3期17卷 444-457页

作者： Albin Grataloup Stefan Jonas Angela Meyer Bern University of Applied Sciences School of Engineering and Computer ScienceQuellgasse 21Biel2501Switzerland Universitàdella Svizzera italiana Faculty of InformaticsVia la Santa 1Lugano-Viganello6962Switzerland Delft University of Technology Department of Geoscience and Remote SensingStevinweg 1Delft2628The Netherlands

Federated learning has recently emerged as a privacy-preserving distributed machine learning *** learning enables collaborative training of multiple clients and entire fleets without sharing the involved training *** preserving data privacy,federated learning has the potential to overcome the lack of data sharing in the renewable energy sector which is inhibiting innovation,research and *** paper provides an overview of federated learning in renewable energy *** discuss federated learning algorithms and survey their applications and case studies in renewable energy generation and *** also evaluate the potential and the challenges associated with federated learning applied in power and energy ***,we outline promising future research directions in federated learning for applications in renewable energy.

关键词： Federated learning Renewable energy Dis tributed learning Data heterogeneity Privacy Data sharing Wind energy Solar energy Buildings Review

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Inversion of soil moisture in Duolun County, Inner Mongolia, China using Sentinel-1 data

Inversion of soil moisture in Duolun County, Inner Mongolia,...

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2023 International Conference on ENTERprise Information Systems, CENTERIS 2023 - International Conference on Project MANagement, ProjMAN 2023 - International Conference on Health and Social Care Information Systems and Technologies, HCist 2023

作者： Zhao, Hongli Wang, Yuxuan Fan, Jinghui Wang, Chuan Ji, Xinyang Jin, Dingjian Chen, Jianping Sousa, Joaquim J. China Natural Resources Aerogeophysical and Remote Sensing Center Beijing100083 China Beijing100083 China Twenty First Century Aerospace Technology Co. Ltd. Beijing100096 China School of Science and Technology University of Tras-os-Montes e Alto Douro Vila Real Portugal INESC Technology and Science Porto Portugal

Soil moisture is an important physical quantity that reflects the surface conditions. Soil moisture retrieval from remote sensing satellite monitoring data is a common method at present and the crucial issue is how to eliminate the influence of other surface and reflect soil parameters like roughness and soil bulk density, and the interference of vegetated areas to electromagnetic wave. In this paper, the Sentinel-1 SAR data, optical data and other auxiliary data such as the Land Surface Data Assimilation System (CLDAS) of the China Meteorological Administration are used as data sources. By coupling the Advanced Integral equation (AIEM) model, a method suitable for the inversion of soil moisture content in the Duolun area is established, and the inverted soil moisture map is analyzed. © 2024 The Author(s). Published by Elsevier B.V.

关键词： Soil moisture

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Multi-Attention Fusion and Fine-Grained Alignment for Bidirectional Image-Sentence Retrieval in remote sensing

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IEEE/CAA Journal of Automatica Sinica 2022年第8期9卷 1532-1535页

作者： Qimin Cheng Yuzhuo Zhou Haiyan Huang Zhongyuan Wang School of Electronic Information and Communications Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhan 430079China School of Computer Science Wuhan UniversityWuhan 430079China

Dear editor,Cross-modal retrieval in remote sensing(RS) data has inspired increasing enthusiasm due to its merit in flexible input and efficient query. In this letter, we address to establish semantic relationship bet... 详细信息

关键词： editor remote Image

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Thermospheric density responses to Martian dust storm in autumn based on MAVEN data

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Geodesy and Geodynamics 2022年第6期13卷 595-601页

作者： Peng Han Shuanggen Jin Jiandong Liu Yawen Li School of Remote Sensing and Geomatics Engineering Nanjing University of Information Science and TechnologyNanjing 210044China School of Surveying and Land Information Engineering Henan Polytechnic UniversityJiaozuo 454000China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China Nanjing University of Science and Technology Nanjing 210094

The unique seasonal surface dust storms on Mars have a significant impact on the Martian ***,due to the lack of observations,semi-empirical models are difficult to simulate the density changes in the thermosphere with the existence of dust storms in *** from multiple Mars probes now offer new opportunities to study the detailed response of Martian dust storms to the upper *** this paper,we use MAVEN accelerometer and mass spectrometer to study the variations of the Martian thermosphere density in autumn between MY32 and MY34(The corresponding Earth dates:February 11,2015 to February 28,2019),and use the seasonal model with dust storm index to fit the annual data of the above three Martian *** results show that the thermosphere density has a clear response to the surface dust storm ***,the spatial distribution of measured data in autumn(northern hemisphere)is compared with the atmospheric density distribution simulated by the general circulation model(GCM)under specific initial *** model simulation results agree well with the thermospheric density distribution characteristics of each Martian year under the initial strong dust storm *** proves the important role of global dust storm in changing the structure of the Martian thermospheric atmosphere.

关键词： Mars Thermospheric atmosphere Dust storm GCM simulation

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Full-scale semantic segmentation of hyperspectral imaging based on spatial spatial-spectral joint network

Full-scale semantic segmentation of hyperspectral imaging ba...

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2024 ISPRS Technical Commission I Mid-term Symposium on Intelligent sensing and remote sensing Application

作者： Wu, Hao Li, Canhai Li, Yongchang Liaoning Technical University Faculty of Mapping Science and Technology Fu Xin China Land Satellite Remote Sensing Application Center Mnr Beijing China Dfh Satellite Co. Ltd. Beijing China

Hyperspectral images contain dozens or even hundreds of spectral bands, which contain rich spectral information and help distinguish different ground objects. Hyperspectral images have a wide range of applications in urban planning, environmental monitoring, and other fields. The semantic segmentation of hyperspectral images is one of the current research hotspots. The difficulty lies in the rich spectral information and strong correlation of hyperspectral images. Traditional semantic segmentation methods cannot fully extract information, which affects the accuracy of classification. This article utilizes an encoding decoding structure to simultaneously extract deep and shallow features of images. A REGCS convolution module was constructed using the idea of group convolution to extract spectral and spatial features of images. We compared the Salinas Valley dataset and MUUFL dataset with various classification algorithms. The experimental results show that compared with other classification models, the RESSU model has achieved stable and excellent results in hyperspectral image classification experiments. Among them, in the classification experiment of the Salinas Valley dataset, the accuracy of single class classification reached over 92%. In the effectiveness analysis experiment, we calculated different model parameter quantities to verify the performance of our method, and ultimately achieved good results. © 2024 Hao Wu et al.

关键词： Convolution

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Local-Global Temporal Difference Learning for Satellite Video Super-Resolution

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IEEE Transactions on Circuits and Systems for Video technology 2024年第4期34卷 2789-2802页

作者： Xiao, Yi Yuan, Qiangqiang Jiang, Kui Jin, Xianyu He, Jiang Zhang, Liangpei Lin, Chia-Wen The School of Geodesy and Geomatics Wuhan University Wuhan430000 China The School of Computer Science and Technology Harbin Institute of Technology Harbin150000 China The State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan430000 China The Department of Electrical Engineering the Institute of Communications Engineering National Tsing Hua University Hsinchu30013 Taiwan

Optical-flow-based and kernel-based approaches have been extensively explored for temporal compensation in satellite Video Super-Resolution (VSR). However, these techniques are less generalized in large-scale or complex scenarios, especially in satellite videos. In this paper, we propose to exploit the well-defined temporal difference for efficient and effective temporal compensation. To fully utilize the local and global temporal information within frames, we systematically modeled the short-term and long-term temporal discrepancies since we observe that these discrepancies offer distinct and mutually complementary properties. Specifically, we devise a Short-term Temporal Difference Module (S-TDM) to extract local motion representations from RGB difference maps between adjacent frames, which yields more clues for accurate texture representation. To explore the global dependency in the entire frame sequence, a Long-term Temporal Difference Module (L-TDM) is proposed, where the differences between forward and backward segments are incorporated and activated to guide the modulation of the temporal feature, leading to a holistic global compensation. Moreover, we further propose a Difference Compensation Unit (DCU) to enrich the interaction between the spatial distribution of the target frame and temporal compensated results, which helps maintain spatial consistency while refining the features to avoid misalignment. Rigorous objective and subjective evaluations conducted across five mainstream video satellites demonstrate that our method performs favorably against state-of-the-art approaches. Code will be available at https://***/ XY-boy/LGTD. © 2023 IEEE.

关键词： Three dimensional displays

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Fast RCS Simulation of Target on the Sea Surface Based on the SBR and Advanced Two-scale Method

Fast RCS Simulation of Target on the Sea Surface Based on th...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Siyuan Wang Zi He Dazhi Ding Lin Liu Ying Zhou Nanjing University of Science and Technology Nanjing China Beijing Institute of Remote Sensing Equipment China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

Plenty of evidence show that the rough sea surface plays a leading role with regard to the composite electromagnetic scattering of the sea surface and the target. Shooting and Bouncing Ray (SBR) tracing mentioned in the related literature may encounter the following two problems. One is that the calculation time to consider the coupling between the two will be greatly increased under fine subdivision. The other is that the calculation accuracy is not high when the sea surface is simulated as a plane. In this paper, the hybrid calculation of Shooting and Bouncing Ray tracing and semi-deterministic complex sea surface with two-scale algorithm is used to predict the electromagnetic scattering. When a ray is irradiated to a surface element on the rough sea surface, a two-scale (KA+AIEM) algorithm is used to calculate the current scattering field. Using the two-scale algorithm, specifically, the scattering contribution of large scale rough surface is calculated by Kirchhoff approximation method and the improved integral equation method is used for the small scale, more accurate electromagnetic scattering calculation can be obtained. This algorithm can effectively shorten the time of sea surface calculation. When the ray is reflected between the target and the rough surface it is necessary to consider the Fresnel reflection coefficient to modify the reflection coefficient. Numerical results show that the scattering intensity of the incident wave is the largest in the mirror direction under different incident angles. Meanwhile, the side of the target and the sea surface form sometimes strong and sometimes weak coupling due to the change of the angle between the target and the sea surface, and the dominant of complex scattering will also change.

关键词： Couplings Sea surface Accuracy Surface waves Electromagnetic scattering Prediction algorithms Approximation algorithms

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