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5th International Conference on Electronic Communication and Artificial Intelligence, ICECAI 2024

作者： Zhang, Yulong Chen, Huafeng School of Information Engineering Huzhou University Huzhou China School of Information Science and Technology Zhejiang Shuren University Hangzhou China Remote Sensing Image Processing and Application International Science and Technology Cooperation Base of Zhejiang Province Hangzhou China

ISBN: (纸本)9798350386943

We proposed a detection framework that utilizes dynamic upsampling operators inattention-scale sequence fusion and applied to multi-object pedestrian tracking tasks. For small objects, we employed the Channel and Spatial Attention Combiner (CSAC) module to combines the Multi-scale Feature Fusion (MSFF) module and the Multiple Feature Concatenation Encoder (MFCE) module to enhance the information extraction capability of the network. Additionally, in the feature extraction stage, we use lightweight and efficient dynamic upsampling operators. Experiments on two mainstream multi-object pedestrian tracking datasets (MOT17, MOT20) demonstrate that combining various mainstream trackers with the proposed model improves the accuracy of multi-object pedestrian tracking. © 2024 IEEE.

关键词： Network coding

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Adaptive sliding mode control of modular self-reconfigurable spacecraft with time-delay estimation

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Defence technology（防务技术） 2022年第12期18卷 2170-2180页

作者： Xin-hong Li Zhi-bin Zhang Ji-ping An Xin Zhou Gang-xuan Hu Guo-hui Zhang Wan-xin Man Department of Aerospace Science and Technology Space Engineering UniversityNo.1 BaYi RoadHuaiRou DistrictBeijing101416China Beijing Institute of Remote Sensing Information Beijing100192China

The reconstruction control of modular self-reconfigurable spacecraft (MSRS) is addressed using an adaptive sliding mode control (ASMC) scheme based on time-delay estimation (TDE) technology. In contrast to the ground, the base of the MSRS is floating when assembled in orbit, resulting in a strong dynamic coupling effect. A TED-based ASMC technique with exponential reaching law is designed to achieve high-precision coordinated control between the spacecraft base and the robotic arm. TDE technology is used by the controller to compensate for coupling terms and uncertainties, while ASMC can augment and improve TDE’s robustness. To suppress TDE errors and eliminate chattering, a new adaptive law is created to modify gain parameters online, ensuring quick dynamic response and high tracking accuracy. The Lyapunov approach shows that the tracking errors are uniformly ultimately bounded (UUB). Finally, the on-orbit assembly process of MSRS is simulated to validate the efficacy of the proposed control scheme. The simulation results show that the proposed control method can accurately complete the target module’s on-orbit assembly, with minimal perturbations to the spacecraft’s attitude. Meanwhile, it has a high level of robustness and can effectively eliminate chattering.

关键词： Adaptive sliding mode control(ASMC) Time delay control Time delay estimation Modular self-reconfigurable spacecraft Uncertainty Coordinated control

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Superior Mechanical Behavior and Flame Retardancy FRP via a Distribution Controllable 1D/2D Hybrid Nanoclay Synergistic Toughening Strategy

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Engineering 2024年第9期40卷 166-178页

作者： Zixuan Chen Tianyu Yu Zetian Yang Zhibiao Wei Yan Li Weidong Yang Tao Yu School of Aerospace Engineering and Applied Mechanics Tongji UniversityShanghai 200092China School of Mechanical Engineering University of Shanghai for Science and TechnologyShanghai 200093China Shanghai Suochen Information Technology Co. Ltd.Shanghai 200030China Shanghai Key Laboratory of Space Mapping and Remote Sensing for Planetary Exploration Tongji UniversityShanghai 200092China

The incorporation of commercial flame retardants into fiber-reinforced polymer(FRP)composites has been proposed as a potential solution to improve the latter’s poor flame ***,this approach often poses a challenge,as it can adversely affect the mechanical properties of the ***,balancing the need for improved flame resistance with the preservation of mechanical integrity remains a complex issue in FRP *** this critical concern,this study introduces a novel additive system featuring a combination of one-dimensional(1D)hollow tubular structured halloysite nanotubes(HNTs)and two-dimensional(2D)polygonal flake-shaped nano kaolinite(NKN).By employing a 1D/2D hybrid kaolinite nanoclay system,this research aims to simultaneously improve the flame retardancy and mechanical *** innovative approach offers several *** combustion and pyrolysis processes,the 1D/2D hybrid kaolinite nanoclay system proves effective in reducing heat release and volatile ***,the system facilitates the formation of reinforcing skeletons through a crosslinking mechanism during pyrolysis,resulting in the development of a compact char *** char layer acts as a protective barrier,enhancing the material’s resistance to heat and *** terms of mechanical properties,the multilayered polygonal flake-shaped 2D NKN plays a crucial role by impeding the formation of cracks that typically arise from vulnerable areas,such as adhesive phase ***,the 1D HNT bridges these cracks within the matrix,ensuring the structural integrity of the composite *** an optimal scenario,the homogeneously distributed 1D/2D hybrid kaolinite nanoclays exhibit remarkable results,with a 51.0%improvement in mode II fracture toughness(GIIC),indicating increased resistance to crack *** addition,there is a 34.5%reduction in total heat release,signifying improved flame *** study represents a significant step

关键词： 1D/2D nanoclays Hierarchical distribution Flame retardancy Fiber-reinforced polymer Damage mechanism

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Long-term analysis of land use dynamics and scenario simulation for photovoltaic power stations in Ordos

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National remote sensing Bulletin 2025年第4期29卷 926-944页

作者： Guo, Qiyu Li, Kangning Chen, Yunhao Jiang, Jinbao Inner Mongolia Research Institute of China University of Mining and Technology-Beijing Ordos010300 China State Key Laboratory of Remote Sensing Science Faculty of Geographical Science Beijing Normal University Beijing100875 China

Photovoltaic power stations, which generate electricity using solar radiation, are an important form of clean energy. However, current research generally lacks in-depth investigation into the long-term land use evolution of photovoltaic power stations and has not systematically predicted photovoltaic construction under different policy scenarios. Therefore, thoroughly exploring the changes in area, type conversion, and spatial distribution characteristics of photovoltaic power stations in Ordos from 2000 to 2023, and on this basis, predicting future land use types under different policy scenarios are of remarkable scientific importance. To achieve these objectives, this study utilized visual interpretation techniques on satellite imagery from Landsat 5 and GF-2, covering the years 2000—2023. From these images, land use type maps were generated, which enabled us to track changes in land use over time. Specifically, we examined the spatiotemporal characteristics of photovoltaic power stations, conducting an analysis every five years to determine shifts in spatial patterns. This analysis was conducted using Gaussian projection ellipses, a method that allowed us to capture the spatial distribution trends of these stations. In addition to this spatial analysis, we employed the Patch-generating Land Use Simulation (PLUS) model, which integrates natural and socioeconomic driving factors to predict future land use patterns under different policy conditions. Key driving factors included population growth, surface temperature, soil heat flux, precipitation, and changes in policy, which are critical elements in understanding the evolution of photovoltaic stations over time and their future development. The findings of this study are multifaceted and provide valuable insights into the evolution of photovoltaic power stations in Ordos. (1) The overall spatial pattern of land use remained relatively consistent between 2000 and 2011 and between 2011 and 2023. However, a noticeable

关键词： Photointerpretation

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Data Augmentation of Linear Frequency Modulation Radar Signal and Active Jamming Signal Based on CGAN

Data Augmentation of Linear Frequency Modulation Radar Signa...

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2024 Conference on Spectral technology and Applications, CSTA 2024

作者： Cao, Tong Qi, Jin Su, Hongyan Liu, Yujing Fan, Rundong School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China Beijing Institute of Remote Sensing Equipment Beijing100854 China

ISBN: (纸本)9781510683082

Radar signals are difficult to obtain due to their secrecy and complexity, which to some extent limits the development of deep learning in the field of radar. Conditional Generative Adversarial Networks (CGAN) have made great achievements in the field of image generation, but there are very few researches on the application of CGAN to radar signal augmentation. In this paper, a one-dimensional convolution-based CGAN is proposed for radar signal augmentation. We use MATLAB to simulate linear frequency modulation (LFM) signals and their corresponding jamming signals. Then, the proposed CGAN is used to augment this simulated radar signal dataset. The experimental results show that our augmented radar signal is similar with the simulated radar signal in terms of visual appearance and objective similarity metrics. The similarity of augmented signals with simulated signals is also verified by means of time-domain comparison, frequency-domain comparison, and pulse compression. © 2024 SPIE.

关键词： Jamming

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UCDFormer: Unsupervised Change Detection Using Real-time Transformers

UCDFormer: Unsupervised Change Detection Using Real-time Tra...

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2023 Joint Urban remote sensing Event, JURSE 2023

作者： Xu, Qingsong Shi, Yilei Zhu, Xiao Xiang Technical University of Munich Data Science in Earth Observation Munich Germany Technical University of Munich Remote Sensing Technology Munich Germany

ISBN: (纸本)9781665493734

Change detection (CD) by comparing two bitemporal images is one of the most challenging tasks in remote sensing. With the advantages of requiring no cumbersome labeled change information, unsupervised CD has attracted extensive attention from researchers. However, rarely existing unsupervised CD approaches consider the seasonal differences in multi-temporal images. To this end, we propose a change detection with a domain shift setting for remote sensing images. Furthermore, we propose a novel unsupervised CD method using a real-time transformer, called UCDFormer. Specifically, a transformer-driven image translation is first proposed to mitigate domain shift between two images with real-time efficiency. Importantly, to effectively reduce the translation strength of changed pixels and to increase the translation of unchanged pixels, a domain-specific affinity weight is computed in an unsupervised fashion for a weighted translation loss. After image translation, we can generate the difference map between the translated before-event image and the original after-event image. Then, classification maps from the difference map are obtained by fuzzy c-means (FCM) clustering and adaptive threshold. However, these detection results are not very reliable. Thus, a novel reliable pixel extraction module is proposed to select significantly changed/unchanged pixel positions by fusing the results of FCM clustering and adaptive threshold. These selected pixel pairs are used to learn a binary classifier, and the other pixel pairs will be classified by this classifier to obtain the final CD results. Experimental results on different unsupervised CD tasks with seasonal changes demonstrate the effectiveness of the proposed UCDFormer compared with several other related methods. © 2023 IEEE.

关键词： Pixels

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Pseudo Features Guided Self-training for Domain Adaptive Semantic Segmentation of Aerial Images

Pseudo Features Guided Self-training for Domain Adaptive Sem...

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2023 Joint Urban remote sensing Event, JURSE 2023

作者： Zhang, Fahong Shi, Yilei Xiong, Zhitong Zhu, Xiao Xiang Technical University of Munich Data Science in Earth Observation Munich Germany Technical University of Munich Remote Sensing Technology Munich Germany

ISBN: (纸本)9781665493734

Semantic segmentation of urban scenes is widely recognized as a fundamental and crucial task that is of great significance to the urban planning and urban management. When applying the semantic segmentation models to large-scale or unseen scenarios, a so-called "domain shift"generally exists between the source and the target domain, where we train and evaluate our models. To mitigate such a problem, domain adaptation leverages the unlabeled data in the target domain to align or fine tuned the model using the target statistics. In previous domain adaptation approaches based on self-training, only the output-level knowledge (e.g., pseudo labels) from the source model is used to guide the adaptation process. However, we notice that the "pseudo features"generated by the source model could be of greater potential for capturing the relationship between target domain samples. To this end, we seek to exploit feature-level relation among neighboring pixels in the target domain to structure the prediction of the domain adaptation model. Experiments on public ISPRS datasets verify that the proposed method can outperform previous unsupervised domain adaptation methods, and demonstrate the benefits of mining local feature relation. © 2023 IEEE.

关键词： Semantic Segmentation

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Post-disaster spatial reconstruction from the perspective of a rural settlement niche in the upper reaches of the Minjiang River

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Journal of Mountain science 2024年第5期21卷 1630-1646页

作者： LIU Yanguo WANG Li ZOU Qiang LI Jingji LU Yafeng LI Lin XU Binni WANG Lihui Tianfu Institute of Research and Innovation Southwest University of Science and TechnologyChengdu 610299China Mianyang Science and Technology City Division the National Remote Sensing Center of ChinaSouthwest University of Science and TechnologyMianyang 621010China Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu 610299China State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection(Chengdu University of Technology) Chengdu 610059China Tianfu New Area Park City Construction Bureau Chengdu Municipal Bureau of Planning and Nature ResourcesChengdu 610218China

Post-disaster recovery and reconstruction provide an effective way to reduce the disaster vulnerability of, and promote leapfrog development in, an affected area. To date, studies that have used administrative boundaries to investigate the reconstruction of settlement space have not been able to clearly define the real boundaries of land use changes or quantify the degree of response to the ‘Build-Back-Better’ initiative, and have lacked any consideration of the fourth reconstruction stage–development period(10 years). This study constructed a mountain settlement niche and analyzed the characteristics, spatial reconstruction, and drivers of rural settlements during 2009–2019 in the upper reaches of the Minjiang River, southwest China. The results showed the following:(1) Natural factors were the basis for the formation and development of mountain settlement niches. The scale of the settlement niche and its land use structure depended on the physical geography features and the ethnic farming and grazing traditions. The settlement niche provided a realistic boundary for the spatial reconstruction.(2) The layout of residential land around cropland was the common feature of the mountain settlement niche. Of all the land use types, the roads and rural residential lands showed the most change over the 10 years;13,860 residential patches increased in size and 4,742 patches were abandoned.(3) The area of orchards, planted to reconstruct the economy in the mountains, increased by nearly 2.5 times.(4) Collapses, landslides, and debris flow disasters and the ecological red line influenced the spatial reconstruction. While the main focus of post-disaster recovery is spatial reconstruction, initiatives should include economic and spiritual recovery, and should also achieve sustainable development of the region.

关键词： Rural settlements Spatial reconstruction Settlement niche Post-Wenchuan Earthquake Reconstruction Southwest China

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Unifying the Nepal height system and China height system based on gravity frequency shift approach

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Geodesy and Geodynamics 2025年第2期16卷 193-202页

作者： K.C.Shanker Ziyu Shen Wenbin Shen Time and Frequency Observation Center Department of GeophysicsSchool of Geodesy and GeomaticsWuhan UniversityWuhan 430079China School of Resource Environmental Science and EngineeringHubei University of Science and TechnologyXianning 437100China Geodetic Survey Division Survey DepartmentGovernment of NepalKathmanduNepal State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhan 430079China

Highly accurate international height reference frames with long-term stability,global consistency,and homogeneity are crucial for monitoring sea level variations,understanding climate change,managing disasters,and supporting other applications that benefit scientific research and societal ***,there are over 100 local height reference systems *** these systems is a pivotal step toward constructing international height reference *** method introduced in this study-the gravity frequency shift via Satellite Frequency Signal Transfer(SFST)-represents a groundbreaking relativistic geodetic approach,demonstrating its potential to surpass the constraints of conventional *** advent of high-precision optical atomic clocks(OAC)with an accuracy level of 1×10^(-18) has facilitated this method's *** International Association of Geodesy(IAG)has established the International Height Reference System(IHRS)and its practical realization,the International Height Reference Frame(IHRF).Our study focuses on two neighbouring height systems:the China Height System(CHS)and the Nepal Height System(NHS),separated by the Himalayas and the Xizang *** aim to unify these two systems by determining the geopotential and orthometric height differences between their respective height datum stations:the Qingdao Height Datum Station(QHDS)and the Madar Height Datum Station(MHDS)using a simulation experiment with the method mentioned *** an OAC with an accuracy of 1×10^(-18),we identified a geopotential difference of-8.348±0.464 m^(2)s^(-2) and an orthometric height difference of 0.786±0.047 m between QHDS and *** results suggest that the introduced method could unify any two height systems with fewcentimeter-level precision,emphasizing its significance in contributing to the construction of the IHRS/IHRF with today's required *** summary,the SFST technique is a novel geodetic method that offers an alternative f

关键词： Vertical reference system Gravity frequency shift SFST IHRF Height system unification

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Estimation of aboveground biomass of arboreal species in the semi-arid region of Brazil using SAR(synthetic aperture radar)images

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Journal of Arid Land 2023年第6期15卷 695-709页

作者： Janisson B de JESUS Tatiana M KUPLICH Íkaro D de C BARRETO Fernando L HILLEBRAND Cristiano N da ROSA Postgraduate Program in Remote Sensing Federal University of Rio Grande do SulCampus ValePorto Alegre 91501970Brazil National Institute for Space Research(INPE) COESU(Southern Spatial Coordination)Santa Maria 97105970Brazil Postgraduate Program Biometry and Applied Statistics Rural Federal University of PernambucoRecife 52171900Brazil Federal Institute of Education Science and Technology of Rio Grande do Sul(IFRS)Campus RolanteRolante 95690000Brazil Postgraduate Program in Remote Sensing Polar and Climate CenterFederal University of Rio Grande do SulPorto Alegre 91501970Brazil

The Caatinga biome is an important ecosystem in the semi-arid region of *** has significantly degraded due to human activities and is currently a region undergoing ***,monitoring the variation in the Caatinga biome has become essential for its sustainable ***,traditional methods for estimating aboveground biomass(AGB)are time-consuming and *** sensing,such as optical and radar imaging,can estimate and correlate with ***,radar imaging is still a novelty to be applied in estimating the AGB of this biome,which is an area with little ***,this study aimed to use Sentinel-1 images to estimate the AGB of the Caatinga biome in Sergipe State(northeastern Brazil)and to verify its influencing *** sample plots(30 m×30 m)were selected,and the stems of individuals with a circumference at breast height(1.3 m above the ground)equal to or greater than 6.0 cm were measured,and the AGB through an allometric equation was *** Sentinel-1 images from 3 different periods(green,intermediate,and dry periods)were used to consider the phenological conditions of the Caatinga *** the pre-processing and extraction of attributes(co-polarized VV(vertical transmit and vertical receive),cross-polarized VH(vertical transmit and horizontal receive),and band ratio VH/VV backscatter,radar vegetation index,dual polarization synthetic aperture radar(SAR)vegetation index(DPSVI),entropy(H),and alpha angle(α))were performed with Sentinel’s Application *** attributes were used to estimate the AGB through simple and multiple linear regressions and evaluated by the coefficients of determination(R2),correlation(r),and root mean squared error(RMSE).The results showed that the attributes individually had little ability to estimate the AGB of the Caatinga biome in the three *** with multiple regression,we found that the intermediate period presented the equation with the best

关键词： Caatinga tropical dry forest coherent and incoherent attributes C-band Sentinel-1

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