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IET International Radar Conference 2023, IRC 2023

作者： Wang, Zehua Wang, Zezhong Qiu, Xiaolan Zhang, Zhe Key Laboratory of Intelligent Aerospace Big Data Application Technology Suzhou China Suzhou Aerospace Information Research Institute Suzhou China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781839539954

Deep neural networks have demonstrated impressive performance in PolSAR image classification. However, the lack of labelled data and the complexity of land boundaries hindering the model's ability to achieve high-quality classification results. In order to address these inherent challenges, this paper introduces an augmentation method designed to maximize the utility of available labelled data. Furthermore, we present an end-to-end PolSAR image classification network, which we refer to as PolSARMixer. Our experimental results indicate that our proposed methodology significantly streamlines the classification process for PolSAR images when compared to traditional methods. Moreover, our proposed network exhibits superior performance in terms of classification accuracy and efficiency. © The Institution of Engineering & technology 2023.

关键词： Image classification

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The application of the Alternate Descent Conditional Gradient Method in Tomographic SAR Off-grid Imaging

The Application of the Alternate Descent Conditional Gradien...

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IET International Radar Conference 2023, IRC 2023

作者： Shao, Mingxiao Su, Cikang Zhang, Zhe Zhang, Bingchen The Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China Suzhou Key Laboratory of Microwave Imaging Processing and Application Technology Suzhou Aerospace Information Research Institute Jiangsu Suzhou China Aerospace Information Research Institute Chinese Academy of Sciences Chinese Academy of Sciences Beijing China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781839539954

Compressed sensing (CS) technology has been applied to topographic synthetic aperture radar (TomoSAR) imaging due to the sparsity of elevation signals. The traditional CS algorithms discretize the elevation into many grids and assume that the scatterers are located on grids, therefore, the accuracy of the traditional CS algorithms is limited by the off-grid effect. Although there are currently methods to address the off-grid effect, such as atomic norm minimization (ANM), its application is limited by the baseline distribution form of TomoSAR, which only applies to uniformly observed scenarios. Alternating Descent Conditional Gradient (ADCG) has been applied in many fields as a gridless imaging algorithm. In this paper, we apply ADCG to TomoSAR imaging for the first time, achieving the reconstruction of non-uniform baseline observation scenes. The effectiveness of ADCG in TomoSAR imaging was verified by comparing it with iterative soft thresholding (IST) and orthogonal matching pursuit (OMP) through simulation experiments. © The Institution of Engineering & technology 2023.

关键词： Compressed sensing

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Research and application of low-carbon economic dispatch of urban building integrated energy system

Research and application of low-carbon economic dispatch of ...

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2024 International Conference on Renewable Energy technology and Electrical Engineering, RETEE 2024

作者： Tong, Zhu Songli, Fan Yulong, Pan Mingxuan, Li Yunhao, Fan School of Electronics and Information Engineering Suzhou University of Science and Technology jiangsu Suzhou215009 China Suzhou Key Laboratory of Intelligent Low-carbon Technology and Application Jiangsu Industrial Low-carbon Technology Engineering Research Center Jiangsu Suzhou 215009 Jiangsu Suzhou215009 China Jiangsu Province Industrial Low-carbon Technology Engineering Research Center jiangsu Suzhou215009 China

Global warming is a serious threat common to all countries. The technological revolution and sustainable development of energy have become the international consensus. While ensuring economic benefits, promoting low carbon environmental protection of comprehensive energy system has become a top priority. Therefore, this paper designs a low-carbon economic scheduling system based on consistency theory. First, the importance of user demand response should be considered in the integrated energy system to ensure the economy of scheduling. Secondly, the improved step-step carbon trading mechanism is used in the algorithm to improve the low carbon performance of scheduling. Then, the distributed consistency algorithm is used to schedule the integrated energy system to realize the most energy output of each unit. In addition, a noise function is added to the algorithm for encryption and desensitization to prevent user privacy leakage. Finally, the effectiveness of the proposed economic scheduling method. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Carbon sequestration

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A DERAMP DOPPLER PARAMETER ESTIMATION METHOD FOR SPACEBORNE SLIDING SPOTLIGHT SAR

A DERAMP DOPPLER PARAMETER ESTIMATION METHOD FOR SPACEBORNE ...

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IET International Radar Conference 2023, IRC 2023

作者： Chen, Min Shang, Mingyang Qiu, Xiaolan Wen, Xuejiao Suzhou Key Laboratory of Microwave Imaging Processing and Application Technology Suzhou215123 China Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems Chinese Academy of Sciences Beijing100190 China Suzhou Aerospace Information Research Institute Suzhou215123 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9781839539954

Sliding spotlight mode is a widely used working mode for spaceborne synthetic aperture radar (SAR) systems. It can realize a higher azimuth resolution than the stripmap mode and a wider observation swath than the spotlight mode. For sliding spotlight SAR, due to the higher azimuth resolution, the accuracy of the Doppler parameters is of great importance since it affects the construction of the azimuth matching filters and further impacts the focusing quality of the final image. While most of the existing Doppler estimation methods are not applicable for sliding spotlight mode since they do not consider the azimuth spectrum aliasing problem. In this paper, we conduct a detailed analysis of the variation of azimuth time-frequency relationship during the azimuth preprocessing of the two-step focusing process for spaceborne sliding spotlight SAR. Based on the analysis, we propose a new Doppler parameter estimation method dedicated to azimuth preprocessing. We also present our experimental results of real data which can verify the effectiveness of our proposed method. © The Institution of Engineering & technology 2023.

关键词： Doppler radar

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Advances and prospects in SAR microwave vision three-dimensional imaging

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National Science Open 2024年第5期3卷 53-83页

作者： Xiaolan Qiu Zekun Jiao Zhe Zhang Qiancheng Yan Chibiao Ding National Key Laboratory of Microwave Imaging Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100190China School of Electronic Electrical and Communication EngineeringUniversity of Chinese Academy of SciencesBeijing 100094China Key Laboratory of Intelligent Aerospace Big Data Application Technology Suzhou 215123China

Synthetic Aperture Radar three-dimensional(3D)imaging enables the acquisition of more comprehensive information,making it a recent hotspot in radar *** 3D imaging methods have evolved from 2D and interferometric imaging,combining elevation aperture extension with signal processing *** such as long acquisition or complex system from its imaging mechanism restrict its *** recent years,rapid development of artificial intelligence has led to a swift advancement in radar,injecting new vitality into SAR 3D *** microwave vision 3D imaging theory,which is built upon advanced technologies,has emerged as a new interdisciplinary field for radar *** paper reviews SAR 3D imaging’s history and present situation,and introduces SAR microwave *** establish a theoretical framework covering representation models,computational models,processing paradigms and evaluation ***,our research progress in this area is discussed,along with future prospects for SAR microwave vision 3D imaging.

关键词： SAR microwave vision 3D imaging visual semantics scattering mechanism

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Distributed Low-Carbon Economic Dispatching for Power Systems with Arbitrary Directed Communication Topologies

Distributed Low-Carbon Economic Dispatching for Power System...

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第43届中国控制会议

作者： Jiawen Zhi Zhenping Chen Songli Fan Tong Zhu School of Electronic and Information Engineering Suzhou University of Science Technology Suzhou Key Laboratory of Intelligent Low-carbon Technology Application

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Considering the directional characteristics of communication topology due to heterogeneity in distance, power, and so on, a fully distributed consensus-based low-carbon economic dispatch method with directed topology is investigated in this paper. First, a low-carbon economic dispatching model is established with the consideration of dual goals of maximizing economic benefits and reducing carbon emissions, which employs quadratic functions to calculate operation and maintenance costs of subsystems along with carbon trading costs and introduces the Lagrange multiplier method to solve the optimization ***, a fully distributed dispatching algorithm is proposed for large-scale and complex power networks. Our proposed algorithm treats incremental costs as consensus variables based on consensus theory, which realizes distributed dispatching through iterative computation. Third, the algorithm's applicability under random directed communication topology is thoroughly investigated. With the introduction of a surplus variable, the effectiveness and convergence of the algorithm have been confirmed through the analysis of communication topology and adjacency weights. Finally, some numerical experiments under the IEEE-14 power system are carried out to show the effectiveness of our proposed method.

关键词： Low-carbon economic dispatching Power system average consensus arbitrary directed topology Carbon emissions

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通过激光/分散系耦合增强氧化石墨烯的还原效果:实现大规模、低缺陷的石墨烯用于无折痕散热膜在先进柔性电子器件中的应用

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Science Bulletin 2024年第11期69卷 1716-1727页

作者：孙佳惟熊雨薇贾海洋韩龙祥叶雯孙立涛 College of Electronic and Information Engineering Suzhou University of Science and TechnologySuzhou 215009China SEU-FEI Nano-Pico Center Key Laboratory of MEMS of Ministry of EducationSoutheast UniversityNanjing 210096China School of Physics and New Energy Xuzhou University of TechnologyXuzhou 221018China Jiangsu Industrial Intelligent and Low-carbon Technology Engineering Center Suzhou 215000China Suzhou Key Laboratory of Intelligent Low-carbon Technology Application Suzhou 215000China College of Chemistry and Life Sciences Suzhou University of Science and TechnologySuzhou 215009China

The advancement of flexible electronics demands improved components,necessitating heat dissipation membranes(HDMs)to exhibit high thermal conductivity while maintaining structural integrity and performance stability even after extensive ***,we have devised a laser-modulated reduction technique for graphene oxide(GO),enabling the fabrication of high-quality,large-scale,lowdefect graphene,which yields high-performance HDMs after orderly *** work underscores the crucial role of the laser wavelength and dispersion liquid's coupling intensity in influencing the morphology and properties of *** coupling effect and energy conversion are realized when a laser of 1064 nm wavelength irradiates a triethylene glycol(TEG)/N,N-Dimethylformamide(DMF)*** unique synergy generates high transient energy,which facilitates the deprotonation process and ensures a swift,comprehensive GO *** contrast to conventional water-based laser reduction methods,the accelerated reaction magnifies the size of the graphene sheets by mitigating the ablation *** membrane construction with an ordered structure,the corresponding membrane exhibits a high thermal conductivity of 1632 W m^(-1)K^(-1),requiring only~1/10 of the total preparation time required by other reported ***,the resulting HDM demonstrates superior resilience against creasing and folding,maintaining excellent smoothness and negligible reduction in thermal conductivity after violent *** combination of exceptional flexibility and thermal conductivity in HDMs paves the way for long-term practical use in the flexible electronics industry.

关键词： Laser-irradiation technology System coupling Graphene-based Heat dissipation membranes Crease-free

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Improved S2ANet based on attention mechanism for small target detection in remote sensing images

Improved S2ANet based on attention mechanism for small targe...

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2021 CIE International Conference on Radar, Radar 2021

作者： Lu, Dongdong Tie, Wenjie Lei, Songlin Qiu, Xiaolan Suzhou Aerospace Information Research Institute Laboratory of Spatial Information Intelligent Processing System Suzhou China Chinese Academy of Sciences Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems Beijing China

ISBN: (纸本)9781665498142

Deep learning has achieved remarkable results in the field of target detection and recognition. For small targets in images, image pyramid can be used to fuse multi-scale features to improve detection performance. However, when test on remote sensing images, it is found that some important small goals will still be missed. Aiming at the problems of small target detection in remote sensing images, this paper proposes two S2ANet improved network variants based on the attention mechanism for synthetic aperture radar(SAR) payload and optical payload: for SAR images, CBAM(Convolutional Block Attention Module) attention is added to the backbone network to increase the attention of the feature extraction network for small targets in the channel and space dimensions;For optical images, firstly increase the CBAM channel attention and spatial attention in the backbone, secondly, the SE(Squeeze And Excitation) channel attention is added to the input features before the channel dimension fusion of the pyramid structure, then the attention-enhanced targets are fully integrated through up-sampling and horizontal splicing operations to improve the missed alarm rate and recall rate of small remote sensing targets. Finally, a comparative verification was carried out on the constructed airborne KU-band SAR data set and the optical remote sensing aircraft data set composed of some DOTA1.5 and FAIR1M data sets. The experimental results proved that the designed two variant networks can be used for small remote sensing. There have been certain improvements in the missed alarm rate, accuracy rate, and recall rate of the target. © 2021 IEEE.

关键词： Radar remote sensing Radar detection Object detection Radar imaging Optical imaging Feature extraction Adaptive optics

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Extracting Named Entity Using Entity Labeling in Geological Text Using Deep Learning Approach

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Journal of Earth Science 2023年第5期34卷 1406-1417页

作者： Qinjun Qiu Miao Tian Zhong Xie Yongjian Tan Kai Ma Qingfang Wang Shengyong Pan Liufeng Tao State Key Laboratory of Geo-Information Engineering and Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR Chinese Academy of Surveying and MappingBeijing 100036China Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities MNRShanghai 20063China Key Laboratory of Geological Survey and Evaluation of Ministry of Education China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges UniversityYichang 443002China College of Computer and Information Technology China Three Gorges UniversityYichang 443002China Chengdu Geological Environment Monitoring Station Chengdu 610036China Wuhan Zondy Cyber Science&Technology Co. Ltd.Wuhan 430074China

Artificial intelligence(AI) is the key to mining and enhancing the value of big data, and knowledge graph is one of the important cornerstones of artificial intelligence, which is the core foundation for the integration of statistical and physical representations. Named entity recognition is a fundamental research task for building knowledge graphs, which needs to be supported by a high-quality corpus, and currently there is a lack of high-quality named entity recognition corpus in the field of geology, especially in Chinese. In this paper, based on the conceptual structure of geological ontology and the analysis of the characteristics of geological texts, a classification system of geological named entity types is designed with the guidance and participation of geological experts, a corresponding annotation specification is formulated, an annotation tool is developed, and the first named entity recognition corpus for the geological domain is annotated based on real geological reports. The total number of words annotated was 698 512 and the number of entities was 23 345. The paper also explores the feasibility of a model pre-annotation strategy and presents a statistical analysis of the distribution of technical and term categories across genres and the consistency of corpus annotation. Based on this corpus, a Lite Bidirectional Encoder Representations from Transformers(ALBERT)-Bi-directional Long Short-Term Memory(BiLSTM)-Conditional Random Fields(CRF) and ALBERT-BiLSTM models are selected for experiments, and the results show that the F1-scores of the recognition performance of the two models reach 0.75 and 0.65 respectively, providing a corpus basis and technical support for information extraction in the field of geology.

关键词： ontology geological reports named entity recognition geological corpus construction semi-automated annotation platforms deep learning

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Online Quality-Based Privacy-Preserving Task Allocation in Mobile Crowdsensing

SSRN

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SSRN 2024年

作者： Chen, Zhenping Xu, Miaomiao Su, Chunxia School of Electronic and Information Engineering Suzhou University of Science Technology Suzhou China Jiangsu Industrial Intelligent and Low-carbon Technology Engineering Center Suzhou China Suzhou Key Laboratory of Intelligent Low-carbon Technology Application Suzhou China

Aimed at the existing problems, such as the improving requirements on privacy, and the low quality of collected data in mobile crowd sensing, one online Quality-based Privacy-preserving Task Allocation (QPTA) mechanism is considered in this paper. First, a travel budget-related polynomial is designed to measure the influence of candidate tasks on the whole task quality, and an online task quality-based allocation model is designed to maximize the total task quality when both the budget and time constraints can be satisfied simultaneously. Second, when the perceived data of task participants and requesters are encrypted values, with the introduction of typical Paillier homomorphic encryption technology, the division, the square root, and the Euclidean distance calculations of the encrypted values are then designed. In this way, the encrypt calculations of the task allocation algorithm are solved, and the data privacy of the task allocation system is thus preserved. Then, the bilateral privacy analysis of the proposed method is illustrated, and some simulations are carried out to show the effectiveness of the proposed method. Simulation results show that the proposed method can allocate tasks effectively while guaranteeing the privacies of both the participants and requesters. It outperforms the most related methods in terms of average perceived quality. © 2024, The Authors. All rights reserved.

关键词： Budget control

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