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Unsupervised change detection of man-made objects using coherent and incoherent features of multi-temporal SAR images

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Journal of Systems Engineering and Electronics 2022年第4期33卷 896-906页

作者： FENG Hao WU Jianzhong ZHANG Lu liao mingsheng State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhan 430079China Key Laboratory of Land Subsidence Monitoring and Prevention Ministry of Land and ResourcesShanghai 200072China Shanghai Engineering Research Center of Land Subsidence Shanghai 200072China Shanghai Institute of Geological Survey Shanghai 200072China

Constrained by complex imaging mechanism and extraordinary visual appearance,change detection with synthetic aperture radar(SAR)images has been a difficult research topic,especially in urban areas.Although existing studies have extended from bi-temporal data pair to multi-temporal datasets to derive more plentiful information,there are still two problems to be solved in practical applications.First,change indicators constructed from incoherent feature only cannot characterize the change objects accurately.Second,the results of pixel-level methods are usually presented in the form of the noisy binary map,making the spatial change not intuitive and the temporal change of a single pixel meaningless.In this study,we propose an unsupervised man-made objects change detection framework using both coherent and incoherent features derived from multi-temporal SAR images.The coefficients of variation in timeseries incoherent features and the man-made object index(MOI)defined with coherent features are first combined to identify the initial change pixels.Afterwards,an improved spatiotemporal clustering algorithm is developed based on density-based spatial clustering of applications with noise(DBSCAN)and dynamic time warping(DTW),which can transform the initial results into noiseless object-level patches,and take the cluster center as a representative of the man-made object to determine the change pattern of each patch.An experiment with a stack of 10 TerraSAR-X images in Stripmap mode demonstrated that this method is effective in urban scenes and has the potential applicability to wide area change detection.

关键词： change detection multi-temporal synthetic aperture radar(SAR)data coherent and incoherent features clustering

Taiyuan City Subsidence Observed with Persistent Scatterer InSAR

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Wuhan University Journal of Natural Sciences 2014年第6期19卷 526-534页

作者： TANG Wei liao mingsheng State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University

C- and X-bands Synthetic Aperture Radar（SAR） images acquired from February 2009 to September 2010 were processed with Persistent Scatterer Interferometry（PS-InSAR） algorithm to investigate spatial and temporal variations in deformation over Taiyuan City, China. The spatial pattern of subsidence and the magnitude of subsidence rate are similar in the velocity field maps achieved by the algorithm from these two data sets. It shows that there are four primary subsidence centers in Taiyuan City：Xiayuan, Wujiabao, Xiaodian, Sunjiazhai, which are near the groundwater extraction wells. The maximum subsidence rate is up to 70 mm/year at Sunjiazhai. The locus of maximum subsidence has shifted from its historical location in the north to the south. In view of the severe shortage of water resources and presented features of subsidence over Taiyuan City, we inferred that excessive pumping of groundwater was the dominant reason of land subsidence.

关键词： ground subsidence Synthetic Aperture Radar interferometry persistent scatterer

THE COHERENCE COEFFICIENT MAP AND RESIDUE GUIDED LEAST SQUARE PHASE UNWRAPPING ALGORITHM

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Geo-Spatial Information Science 1999年第1期2卷 55-62页

作者： Zhang Li liao mingsheng Zhang Zuxun Zhang Yong National Laboratory for Information Engineering in Surveying Mapping and Remote Sensing WTUSM Wuhan China

The generation of high-resolution DEM from interferometric SAR has resulted in the need for accurate and efficient methods of 2-dimensional phase unwrapping. In this paper, we give a brief description of the mathematical base of phase unwrapping, and a detailed description of the unweighted and weighted least square phase unwrapping algorithm.Then our algorithm combining with the weighted least square phase unwrapping guided by the branch-cuts derived from Goldstein’ s algorithm and coherence coefficient map derived from the INSAR data is provided. In our experiment we write subroutines of the Goldstein’s branch-cut algorithm,unweighted and weighted least square phase unwrapping algorithm as well as our algorithm,and construct a small experiment system to resolve the phase unwrapping problem. Finally we test our algorithm on some INSAR data. The result shows that our approach can obtain unwrapped phase correctly and efficiently.

关键词： 2-dimensional phase unwrapping interferometric SAR coherence coefficient map weighted least square phase unwrapping branch-cuts

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基于移动机器人的树木识别与冠层信息测量

中国农机化学报 2024年第5期45卷 232-238页

作者：廖舒怀王凯宋健解福祥王名声龚中良中南林业科技大学机电工程学院长沙市410004 潍坊学院机械与自动化学院山东潍坊261061

针对人工测量苗圃冠层参数费时费力,无法快速提取果树冠层参数的问题,提出一种基于环境点云识别算法的树木冠层信息提取方法。首先利用LiDAR-IMU紧耦合里程计进行点云矫正和特征点提取,在建图中使用旋转约束解决Z轴偏移问题,完成测量区... 详细信息

针对人工测量苗圃冠层参数费时费力,无法快速提取果树冠层参数的问题,提出一种基于环境点云识别算法的树木冠层信息提取方法。首先利用LiDAR-IMU紧耦合里程计进行点云矫正和特征点提取,在建图中使用旋转约束解决Z轴偏移问题,完成测量区域的环境重建;将点云地图传输至后台工作站后,使用欧式聚类和3D-FV-DNNs算法对树木点云进行分割与识别;最后在找到第一主枝后利用立方体素法实现冠层体积建模,采用二维栅格法提取冠层面积参数。试验表明:本文采用的建图算法能较高精度地重建完整果园环境,基于DNN深度学习分类器的苗圃识别方法获取的P-R曲线的Bet值比SVM与RF分类器所获取的数值高出0.064 1与0.099 9,此外树冠体积与面积的R^(2)与RMSE分别为0.746 77、0.697 8以及0.097 54、0.076 77。表明本文算法测得的冠层参数与人工测量值有强相关性,为果园精细化管理提供重要支撑。

关键词：移动机器人点云环境地图深度学习点云识别树冠参数

A PIECEWISE BASED HIGH-PRECISION REGISTRATION OF INSAR DATA

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Geo-Spatial Information Science 1999年第1期2卷 100-103,108页

作者： Yang Jie liao mingsheng Yang Wen Zhang Li National Laboratory for information Engineering in Surveying Mapping and Remote Sensing WTUSM Wuhan China

In Synthetic Aperture Radar (SAR) interferometry, the precise co-registration is a key problem to obtain the fine interferogram. Theoretically, 1/10 pixel accuracy is essential. Once the control points are determined, the relative rectification (pixel re-sampling)is also the important procedure. In this paper,a piecewise transformation algorithm based on Delaunay Tessellation algorithm is developed. The strategy is to 'anchor' geographically all control points and transform the imagery on the basis of triangle by triangle. The piecewise algorithm, the accuracy evaluation and the preliminary results are described. The experiment result shows that the piecewise transformation out-performes the traditional polynomial transformation.

关键词： rectification registration delaunay tessellation SAR

THE STUDY ON AUTOMATIC REGISTRATION OF INSAR IMAGES

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Geo-Spatial Information Science 1999年第1期2卷 30-34页

作者： liao mingsheng Zhang Zuxun Zhang Li Zhang Jianqing National Laboratory for Information Engineering in Surverying Mapping and Remote Sensing WTUSM Wuhan China

Interferometric Synthetic Aperture Radar (InSAR) allows production of high resolution DEM and detection of small earth motions using multiple pass SAR data sets obtained by remote sensing satellite. But the whole process has not yet reached sufficient robustness to warrant automated DEM production as commonly produced by stereovision with optical images. The automatic algorithm for precision registration is one of the bottlenecks in InSAR data processing. In this paper, an automatic approach with multi-step image matching algorithm is presented. All procedures are automatically implemented. The experiment is carried out successfully with SIR-C/L-band InSAR data. The triangular piecewise rectification is also advanced in reducing local distortion between the images and processing the large scene image. The primary result has prospect in the precision registration for the repeat-track InSAR data and reveals the potential of the presented automatic strategy.

关键词： interferometry radar registration image matching

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大白菜机械化收获技术研究现状与发展趋势

农机化研究 2024年第3期46卷 252-258页

作者：王名声龚中良解福祥宋健廖舒怀李崔建中南林业科技大学机电工程学院长沙410004 潍坊学院机械与自动化学院山东潍坊261061

随着现代农业技术的发展,大白菜机械化收获技术在我国越来越引起重视。目前,我国大白菜收获作业仍以人工为主,机械化收获水平较低。为了使大白菜收获跟上时代的步伐,满足大白菜的生产需要,结合国内外大白菜机械化收获技术,重点分析了大... 详细信息

随着现代农业技术的发展,大白菜机械化收获技术在我国越来越引起重视。目前,我国大白菜收获作业仍以人工为主,机械化收获水平较低。为了使大白菜收获跟上时代的步伐,满足大白菜的生产需要,结合国内外大白菜机械化收获技术,重点分析了大白菜机械化收获中拔取、切根、输送提升及转运收集等关键技术;然后,总结现有收获机及其关键部件所存在的问题;最后,针对我国现阶段的研究情况,对我国大白菜机械化收获方面的研究提出几点建议,旨在为我国大白菜机械化收获技术装备的研发与应用提供参考依据。

关键词：大白菜机械化收获结球叶菜

Decomposing and mapping different scales of land subsidence over Shanghai with X-and C-Band SAR data stacks

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International Journal of Digital Earth 2022年第1期15卷 478-502页

作者： Ru Wang Mengshi Yang Tianliang Yang Jinxin Lin mingsheng liao State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China School of Earth Sciences Yunnan UniversityKunmingPeople’s Republic of China Key Laboratory of Land Subsidence Monitoring and Prevention Ministry of Land and ResourcesShanghaiPeople’s Republic of China Shanghai Institute of Geological Survey ShanghaiPeople’s Republic of China

Land subsidence can be observed with time-series of Interferometric Synthetic Aperture Radar(InSAR)data.However,existing approaches only reveal subsidence signals that are multi-scale mixed,which is not conducive to the systematic analysis of subsidence of different mechanisms.A deformation signal decomposition(DSD)method based on spectral analysis is used to decompose the deformation extracted by time-series InSAR into three classes of deformation signals.They refer to large-scale deformation related to geological settings,medium-scale deformation caused more by group excavation,and small-scale deformation along linear infrastructures.TerraSAR-X datasets for Shanghai spanning April 2013 to September 2020,and Sentinel-1A datasets spanning January 2016 to September 2020 are used in this study.The results were cross-verified between the TerraSAR-X and Sentinel-1A datasets,and validated against levelling measurements.Subsidence signals caused by different mechanisms were automatically decomposed,which facilitates a systematic analysis for targeted diagnosis of land subsidence signals.A detailed analysis was conducted jointly at three scales of surface displacement,geological conditions,major construction activities,and subsidence mechanisms.It indicated that construction activities were the leading cause of land subsidence,and suggests that local authorities that wish to mitigate surface subsidence may benefit from primarily considering this process.

关键词： Deformation decomposition land subsidence time-series InSAR Shanghai

Two-dimensional materials for future information technology: status and prospects

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Science China(Information Sciences) 2024年第6期67卷 1-147页

作者： Hao QIU Zhihao YU Tiange ZHAO Qi ZHANG mingsheng XU Peifeng LI Taotao LI Wenzhong BAO Yang CHAI Shula CHEN Yiqi CHEN Hui-Ming CHENG Daoxin DAI Zengfeng DI Zhuo DONG Xidong DUAN Yuhan FENG Yu FU Jingshu GUO Pengwen GUO Yue HAO Jun HE Xiao HE Jingyi HU Weida HU Zehua HU Xinyue HUANG Ziyang HUANG Ali IMRAN Ziqiang KONG Jia LI Qian LI Weisheng LI Lei liao Bilu LIU Can LIU Chunsen LIU Guanyu LIU Kaihui LIU Liwei LIU Sheng LIU Yuan LIU Donglin LU Likuan MA Feng MIAO Zhenhua NI Jing NING Anlian PAN Tian-Ling REN Haowen SHU Litao SUN Yue SUN Quanyang TAO Zi-Ao TIAN Dong WANG Hao WANG Haomin WANG Jialong WANG Junyong WANG Wenhui WANG Xingjun WANG Yeliang WANG Yuwei WANG Zhenyu WANG Yao WE Department of Applied Physics The Hong Kong Polytechnic University Key Laboratory for Micro-Nano Physics and Technology of Hunan Province College of Materials Science and EngineeringHunan University College of Integrated Circuits Zhejiang University Shenzhen Geim Graphene Center Shenzhen Key Laboratory of Layered Materials for Value-Added ApplicationsTsinghua-Berkeley Shenzhen Institute & Institute of Materials ResearchTsinghua Shenzhen International Graduate SchoolTsinghua University State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringInternational Research Center for Advanced PhotonicsZijingang CampusZhejiang University National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences CAS Key Laboratory of Nanophotonic Materials and Devices & Key Laboratory of Nanodevices and Applications i-LabSuzhou Institute of Nano-Tech and Nano-Bionics (SINANO)Chinese Academy of Sciences College of Chemistry and Chemical Engineering Hunan University Key Laboratory of Quantum State Construction and Manipulation (Ministry of Education) Department of PhysicsRenmin University of China School of Integrated Circuits Beijing National Research Center for Information Science and Technology (BNRist)Tsinghua University School of Electronic Science and Engineering Nanjing University The State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology Shaanxi Joint Key Laboratory of GrapheneSchool of MicroelectronicsXidian University Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education School of Physics and TechnologyWuhan University School of Integrated Circuits Huazhong University of Science and Technology Center for Nanochemistry (CNC) Beijing Science and Engineering Center for NanocarbonsBeijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking University State Key Laboratory for Artificial Microstruct

Over the past 70 years, the semiconductor industry has undergone transformative changes,largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensional(2D) materials like transition metal dichalcogenides(TMDs) and graphene are pivotal in overcoming the limitations of silicon-based technologies, offering innovative approaches in transistor design and functionality, enabling atomic-thin channel transistors and monolithic 3D integration. We review the important progress in the application of 2D materials in future information technology, focusing in particular on microelectronics and optoelectronics. We comprehensively summarize the key advancements across material production, characterization metrology, electronic devices, optoelectronic devices, and heterogeneous integration on silicon. A strategic roadmap and key challenges for the transition of 2D materials from basic research to industrial development are outlined. To facilitate such a transition, key technologies and tools dedicated to 2D materials must be developed to meet industrial standards, and the employment of AI in material growth, characterizations, and circuit design will be essential. It is time for academia to actively engage with industry to drive the next 10 years of 2D material research.

关键词： two-dimensional (2D) materials information technology production technology standardization of characterization microelectronicdevices optoelectronic devices multi-functional integration