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Combined adjustment project of national astronomical geodetic networks and 2000' national GPS control network

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Progress in Natural Science:Materials International 2005年第5期15卷 435-441页

作者： YANG Yuanxi1*, ZHA Ming2, SONG Lijie3. WEI Ziqing1, WANG Zhouping2, OUYANG Guichong2, XU Bilin2, WU Xiaoping3.and WANG Junqin4(1. Xi'an Research Institute of surveying and mapping, Xi'an 710054, china 2. Xi'an Informational and Technical Center of surveying and mapping, Xi'an 710054, china 3. Zhengzhou Institute of surveying and mapping, Zhengzhou 450052, china 4. The First surveying Team of Tianjin, Tianjin 3.0140, china) Xian Research Institute of surveying and mapping Xi''an 710054 China Xi''an Informational and Technical Center of surveying and mapping Xi''an 710054 China Zhengzhou Institute of surveying and mapping Zhengzhou 450052 China

The combined adjustment project of the nationwide astronomical geodetic networks and 2000' national GPS control network involve 48519 terrestrial observational stations and 2666 GPS observational stations. In the terrestrial network, 25107 stations are height fixed and 23.12 stations are in three dimensions. 440793.terrestrial observations and 183.68 unknowns are involved in the adjustment. The three-dimensional observational models for the adjustment have been established. The crustal deformation influences and corrections are researched. Fast methods of solving partitioned adjustment for super large-scale geodetic network have been studied. The standard deviations of three-dimensional coordinates for all stations are evaluated. As a result of the combined adjustment, a unified national geodetic network with nearly 50000 stations is established, the high accurate three-dimensional geocentric coordinates are obtained. The standard deviation for geoid is averagely 0.2 m, for vertical deflection is about 1.5″, for the horizontal position is about 0.12 m, for the geodetic height is about 0.14 m, and for the three-dimensional position is averagely 0.3.m.

关键词： astronomical geodetic network GPS network combined adjustment datum geocentric coordinates.

A new approach toward object-based change detection

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Science china(Technological Sciences) 2010年第S1期53卷 105-110页

作者： ZHANG Guo1,2,LI Yang1 & LI ZhiJiang3.1 State Key Laboratory of Information Engineering in surveying,mapping and Remote Sensing,Wuhan University,Wuhan 43.079,china 2 Satellite of surveying and mapping Application center,State Bureau of surveying and mapping,beijing 10083.,china 3.School of Printing and Packaging,Wuhan University,Wuhan 43.079,china Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China State Bur surveying & mapping Satellite Surveying & Mapping Applicat Ctr Beijing 100830 Peoples R China Wuhan Univ Sch Printing & Packaging Wuhan 430079 Peoples R China

Object-based change detection has been the hotspot in remote sensing image processing.A new approach toward object-based change detection is *** two different temporal images are unitedly segmented using the mean shift procedure to obtain corresponding *** change detection is implemented based on the integration of corresponding objects’ intensity and texture *** are conducted on both panchromatic images and multispectral images and the results show that the integrated measure is robust with respect to illumination changes and *** color detection is conducted to determine whether the color of the unchanged objects changes or not when dealing with multispectral *** verification work is carried out to show the accuracy of the proposed approach.

关键词： mean shift united segmentation change detection object-based intensity texture integration

Conceptual design,data model and key techniques of“3. Assistant”

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中国有色金属学会会刊：英文版 2011年第S3期21卷 692-698页

作者： LI Qing-yuan1, ZHANG Xuan2, JIN Yang2, ZHOU Hui3. WANG Qian-jin3.WEI Zhan-yin1 1. Key Laboratory of Geo-Informatics, Chinese Academy of surveying and mapping, beijing 10083.,{3. 2. School of Geo-Science and surveying Engineering,{3. University of Mining and Technology, beijing 100083.{3. 3. School of Geomatics, Liaoning Technical University, Fuxin 123.00,{3. [a] Key Laboratory of Geo-Informatics Chinese Academy of Surveying and Mapping Beijing 100830 China [b] School of Geo-Science and surveying Engineering China University of Mining and Technology Beijing 100083 China [c] School of Geomatics Liaoning Technical University Fuxin 123000 China

Conceptual design, data model and key techniques of "Geo-engineer 3. assistant", an underground 3. GIS oriented to geology and mine application, were discussed. In particular, the importance of high-order smoothing triangular pieces to surface's fine expression in geological modeling was emphasized. The contour mode is the most favorite mode of the three modes about surface expression: DEM, TIN and contour. Topology in underground 3. modeling with CAGD was compared. From the view of boundary and coboundary, which is soul of IS 19107 (Geographic information spatial schema), 3. underground topology was re-examined.

关键词： 3. assistant true 3. GIS fine expression of surface contour mode 3. topology

The trend of the APRGP velocity field and plates movement derived from GPS data

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Science china(Physics,Mechanics & Astronomy) 2010年第4期53卷 767-772页

作者： CHENG PengFei , WANG Hua, CHENG YingYan, WEN HanJiang & CAI YanHui Chinese Academy of surveying and mapping, beijing 10003.,{3. 1. Chinese Academy of surveying and mapping Beijing 100039 China

High-precision data processing theories and methods for the wide area GPS network–––Asia Pacific Regional Geodesy Project (APRGP), are systematically discussed in this article. With the software bernese5.0 update, the annual results of APRGP coordinate, velocity field and the trend of plate movement are reestimated, and the corresponding accuracy of adjustment with different constraints, also the velocity field of APRGP, are presented and analyzed. Conclusions could be drawn that Eurasian plate (EURA) rotates clockwise, the Australian plate (AUST) and the Indian plate (INDI) move from southwest to northeast, while the Pacific plate (PCFC) is drifting to northwest, which shows agreement with those of IGS results.

关键词： APRGP Bernese5.0 GPS Data processing velocity field plate movement

RESEARCH AND APPLICATION OF REMOTE SENSING IN THE FIELDS OF surveying AND mapping

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遥感信息 1990年第A2期12卷 28-29页

作者： Chu Liangcai (Research Institute of surveying and mapping, beijing)

The technique of aerial photography has been used in the surveying and mapping for more than fifty years. Along with the development of space technolongy, the satellite images are more and more widely applied to solve the survey problems. Recent years, the surveying and mapping community has conducted more deeply investigation into the remote sensing and carried out extensive applications.

关键词： surveying photography deeply aerial fifty mapping hasbeen Tianjin requirement carry

A new learning statistic for adaptive filter based on predicted residuals

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Progress in Natural Science:Materials International 2006年第8期16卷 833-837页

作者： YANG Yuanxi and GAO Weiguang (Xi'an Research Institute of surveying and mapping, Xi'an710054, china Institute of surveying and mapping, University of Information Engineering, Zhengzhou 450052, china) [a]Xi' an Research Institute of surveying and mapping Xi' an China [b]Institute of surveying mapping University of Information Engineering Zhengzhou China

A key problem for an adaptive filter is to establish a suitable adaptive factor for balancing the contributions of the measurements and the predicted state information from some kinematic models. The reasonable adaptive factor needs a reliable learning statistics to judge the state kinematic model errors. After analyzing the existing two kinds of learning statistics based on the state discrepancy and variance component ratio, a new learning statistic based on predicted residuals is set up, which is different from the exiting learning statistics. The new learning statistic does not need to estimate the kinemetic state parameters before the filtering process, Of course, it does not need necessary measurements to estimate state parameters for all observation epochs. The new learning statistic can be applied together with the learning factor constructed by the state discrepancy. The advantages and shortcomings of the new learning factor are analyzed, and an example is given.

关键词： adaptive factor adaptive filter kinematic model predicted residual.

Spatiotemporal model of open-pit based on 3.D deposit model

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中国有色金属学会会刊：英文版 2011年第S3期21卷 616-620页

作者： XIA Chun-lin1, ZHOU Hui1, LI Qing-yuan2, MA Zhen-li3.1. School of Geomatics, Liaoning Technical University, Fuxin 123.00, china 2. State Key Laboratory for GIS Engineering, Chinese Academy of surveying and mapping, {3. 10083., china 3. Yinchuan College, china University of Mining and Technology, Yinchuan 750011, china [a] School of Geomatics Liaoning Technical University Fuxin 123000 China [b] State Key Laboratory for GIS Engineering Chinese Academy of Surveying and Mapping Beijing 100830 China [c] Yinchuan College China University of Mining and Technology Yinchuan 750011 China

A new method was put forward to make up the three-dimensional deposit model, and the spatiotemporal models of open-pit with temporal dynamics were also studied combined with the corrected models of multilevel ground states so as to bring the three-dimensional open-pit model at different time and its model serial formed from the evolvement into the management of temporal dimension in order to realize the spatial three-dimension and temporal dynamic for the mining management in open-pits,which makes this model easy to query and analyze 3.D information, also help surface mining replaying and stope evolution forecasting. Finally, the time-spatial model was established to show the dynamic mining on some open-pit under the windows XP and VC++ environment.

关键词： 3. model of deposit three-dimensional model mixed model temporal model open-pit

Adaptively robust filtering with classified adaptive factors

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Progress in Natural Science:Materials International 2006年第8期16卷 846-851页

作者： CUI Xianqiang and YANG Yuanxi (Xi’an Research Institute of surveying and mapping, Xi’an 710054, china) [a]Xi' an Research Institute of surveying and mapping Xi' an China

The key problems in applying the adaptively robust filtering to navigation are to establish an equivalent weight matrix for the measurements and a suitable adaptive factor for balancing the contributions of the measurements and the predicted state information to the state parameter estimates. In this paper, an adaptively robust filtering with classified adaptive factors was proposed, based on the principles of the adaptively robust filtering and bi-factor robust estimation for correlated observations. According to the constant velocity model of Kalman filtering, the state parameter vector was divided into two groups, namely position and velocity. The estimator of the adaptively robust filtering with classified adaptive factors was derived, and the calculation expressions of the classified adaptive factors were presented. Test results show that the adaptively robust filtering with classified adaptive factors is not only robust in controlling the measurement outliers and the kinematic state disturbing but also reasonable in balancing the contributions of the predicted position and velocity, respectively, and its filtering accuracy is superior to the adaptively robust filter with single adaptive factor based on the discrepancy of the predicted position or the predicted velocity.

关键词： Kalman filtering adaptive filtering robust estimation adaptive factor.

Analysis and application of automatic deformation monitoring data for buildings and structures of mining area

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中国有色金属学会会刊：英文版 2011年第S3期21卷 516-522页

作者： XIAO Jie1, 2, 3. ZHANG Jin4 1. Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 43.077, china 2. Key Laboratory of Dynamic Geodesy, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 43.077, china 3. Graduate School of Chinese Academy of Sciences, beijing 100049, china 4. Department of surveying and mapping, Taiyuan University of Technology, Taiyuan 03.024, china Taiyuan Univ Technol Dept Surveying & Mapping Taiyuan 030024 Peoples R China Chinese Acad Sci Inst Geodesy & Geophys Key Lab Dynam Geodesy Wuhan 430077 Peoples R China Chinese Acad Sci Grad Sch Beijing 100049 Peoples R China

The buildings and structures of mines were monitored automatically using modern surveying technology. Through the analysis of the monitoring data, the deformation characteristics were found out from three aspects containing points, lines and regions, which play an important role in understanding the stable state of buildings and structures. The stability and deformation of monitoring points were analysed, and time-series data of monitoring points were denoised with wavelet analysis and Kalman filtering, and exponent function and periodic function were used to get the ideal deformation trend model of monitoring points. Through calculating the monitoring data obtained, analyzing the deformation trend, and cognizing the deformation regularity, it can better service mine safety production and decision-making.

关键词： wavelet analysis Kalman filtering deformation monitoring data analysis mine