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    20 March 2020, Volume 49 Issue 3
    Geodesy and Navigation
    BeiDou wide-area precise timing prototype system
    SHI Chuang, ZHANG Dong, SONG Wei, YU Jialiang, GUO Wenfei
    2020, 49(3):  269-277.  doi:10.11947/j.AGCS.2020.20180534
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    In recent years, the time transfer method based on precise point positioning (PPP) shows a superior performance in terms of accuracy and coverage, which has made it become one of the most popular GNSS time transfer methods. As the timeliness of wide-area differential products improves, real-time PPP time transfer has been applied to the study of precise timing. On the basis of PPP time transfer, this paper introduces a wide-area precise timing(WPT) system based on BeiDou satellite navigation system (BDS). We applied real-time PPP time transfer, time-frequency control and hardware delay calibration technology in this system, which could ensure that users can obtain accurate, stable and traceable time in real time.The WPT system consisted of time service platform and terminal. The platform introduced high-accuracy time as the reference time of the system. At the same time, it provided real-time wide-area differential correction data. The terminal obtained the difference between the local clock and the system time based on PPP method. Then steering clock technology was used to realize time synchronization between terminal and system. In order to verify the real-time timing performance of the system, this paper conducted performance testing and evaluation in zero baseline, short baseline and wide-area environments. The experimental results show that the accuracy of time synchronization in the condition of zero baseline and short baseline is better than 0.5 ns. And timing accuracy in a single day is better than 1 ns in a single day, which provide a reference for the development of precision timing technology based on BeiDou system.
    Rapid and precise solution of the whole network of thousands of stations in China based on PPP network solution by UPD fixed technology
    WANG Hu, DANG Yamin, HOU Yangfei, BEI Jinzhong, WANG Jiexian, BAI Guixia, CHENG Yingyan, ZHANG Shoujian
    2020, 49(3):  278-291.  doi:10.11947/j.AGCS.2020.20190326
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    Based on the PPP network solution by UPD (uncalibrated phase delay) ambiguity fixed technology, millimeter-level regional differential positioning without a base station and whole network disposable rapid precise solution can be achieved using GNSS data from the first phase of the National Datum Engineering of China and thousands of national CORS stations in each province or municipality.This is of great practical significance to enhance the ability of national survey to meet the urgent need, to realize the rapid establishment of benchmark in the disaster area and to quickly reconstruct the national unified coordinate frame and its service. Firstly, the UPD of wide-lane and narrow-lane are estimated using national GNSS data of 198 continuously operating reference stations during August in 2015. Then, the float carrier phase ambiguities from each GNSS station are fixed using the UPD of wide-lane and narrow-lane until those from all the GNSS stations are completed. The results indicate that there are 193 stations where average successfully fixed rate of wide-lane ambiguities is above 80% and 165 stations where that of narrow-lane ambiguities is above 60%. In addition, the root mean square of whole network solution in North, East and Up direction are 2.8, 3.9 and 5.3 mm, respectively; the standard deviation of whole network solution in North, East and Up direction are 2.1, 3.2 and 6.7 mm, respectively. Compared with single day solutions by SOPAC under the ITRF2008, the external errors in horizontal and vertical direction are both at millimeter level. Finally, we can obtain the accurately phase observations without ambiguities, which are fixed using the UPD of wide-lane and narrow-lane, from 1195 GNSS stations during August in 2015. The whole network disposable solution covering thousands of stations can be achieved using the accurately phase observations without ambiguities, which could reduce the number of ambiguity parameters and overcome the restriction of network in size and the number of stations. The double-difference monthly solution by GAMIT/GLOBK are used to validate the results by the above method. 99.92%, 99.33% and 79.83% stations share a difference of less than 1 cm in North, East and Up direction, respectively. Wherein, the Up-component difference of 93.22% stations are within 1.5 cm. In summary, the accuracy and efficiency of both regional precise positioning without a base station and rapidly calculating for GNSS huge network could be ensured based on the PPP network solution by UPD ambiguity fixed technology. Furthermore, it can also meet the urgent demand to fast reconstruct national coordinate frame and that in disaster area.
    Integrated orbit determination and time synchronization for BDS-3 satellites with satellite-ground and inter-satellite one-way Ka-pseudoranges
    RUAN Rengui, JIA Xiaolin, ZHU Jun, HUYAN Zongbo, FENG Laiping, LI Jie
    2020, 49(3):  292-299.  doi:10.11947/j.AGCS.2020.20190297
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    The Ka-band pseudoranges measured between satellites and between satellites and anchor stations provide the third-generation BeiDou navigation satellite system (BDS-3) an alternate approach to achieve orbit determination (OD) and time synchronization (TS) which is completely independent of monitoring stations. In this paper, by modeling the clock offsets with piece-wise linear polynomials, we directly process the inter-satellite (IS) and satellite-ground Ka-pseudoranges to conduct integrated OD and TS with simultaneously estimation for the hardware delay of anchor stations. Experiments with real Ka-pseudorange data observed at 8 BDS-3 satellites and 2 anchor stations are carried out. It is demonstrated that, with the broadcast clock drift corrections, the RMS of IS Ka-pseudorange residuals is 0.052 m; the accuracy (RMS) in radial direction of the estimated and predicted orbits are 0.016 and 0.033 m, respectively; the accuracy (95%) of the estimated and predicted clocks are 0.038 and 0.992 ns, respectively. The standard deviations of estimated hardware delays of anchor stations are smaller than 0.5 ns. The proposed method is adaptable as it also works even if no predicted clock drift is available. In this extreme case, the RMS of the IS pseudorange residuals is dramatically increased by 242%; However, the accuracies are 0.021 m and 0.041 m for the estimated and predicted orbits, respectively, while 0.040 ns and 1.092 ns for the estimated and predicted clocks, respectively.
    The algorithm of multi-frequency carrier phase integer ambiguity resolution with GPS/BDS between long range network RTK reference stations
    ZHU Huizhong, LI Jun, YU Zeran, ZHANG Kai, XU Aigong
    2020, 49(3):  300-311.  doi:10.11947/j.AGCS.2020.20190191
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    The method of long range network RTK is the main means to improve the accuracy of real-time kinematic positioning of GPS/BDS. The fast fixing of carrier phase integer ambiguity with GPS/BDS between long range reference stations was significant. The algorithm of multi-frequency carrier phase integer ambiguity resolution with GPS/BDS between long range network RTK reference stations was studied in this paper. The GPS wide-lane ambiguities were fixed by the double frequency observation data of reference station network. And the extra-wide-lane ambiguities of B2 and B3 frequency were fixed by using B2 and B3 frequency observation data at the same time. Then the solution model including GPS double difference carrier phase integer ambiguities and atmospheric errors can be established, the carrier phase integer ambiguity can be fixed by this solution model and the constraint of wide-lane ambiguities. Then the spatial correlation model of atmospheric delay error was established. And the computation model of BDS double difference carrier phase integer ambiguity including atmospheric delay error was established by the extra-wide-lane ambiguities of B2 and B3 frequency. The BDS carrier phase integer ambiguity resolution was constrained by the spatial correlation model of atmospheric errors. Therefore the influence of ambiguities fixing by using ionosphere free observation can be eliminated. The test of the algorithm was carried out by the GPS/BDS data with long range reference station network. The results of experiment indicate that the rapidly fixing of carrier phase integer ambiguity with GPS/BDS between long range reference stations was achieved by this algorithm.
    BDS receiver antenna phase center calibration
    WANG Jiachen, LIU Genyou, GUO Aizhi, XIAO Gongwei, WANG Binbin, GAO Ming, WANG Shengliang
    2020, 49(3):  312-321.  doi:10.11947/j.AGCS.2020.20190072
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    In high-precise GNSS applications, the effects of receiver antenna phase center offset(PCO) and antenna phase center variation (PCV) are not negligible. At present, the antenna phase correction grid file released by IGS only contains the calibration values of GPS/GLONASS, but there are no the calibration values of the BeiDou system (BDS) released. In this paper, we use time-difference to calibrate and fit GPS L1/L2 & BDS B1I/B2I/B3I PCOs and PCVs of unknown antenna, depending on the characteristics that robot can be used to control the free rotation of the antenna and realize omnidirectional GNSS observation in few hours. Compared with the IGS published values, the calibration results show that the estimated GPS PCOs using the least squares on L1/L2 are less than 1 mm for STD and RMS. The STD of the BDS PCOs estimation values are 0.5, 0.3, 0.3 mm on B1I/B2I/B3I, respectively. The GPS PCV grid values fitted by the spherical harmonic function are less than 1.5 mm below 75 degrees zenith compared to the IGS published value. The BDS PCVs fitting ranges from -5 to 8 mm with zenith, and the curve is trough with the zenith variation. As azimuth changing, the BDS PCVs have a large fluctuation in fitting values at low elevation, and the peak to peak has a maximum of 5.6 mm.
    Photogrammetry and Remote Sensing
    Robust image matching constrained by delaunay triangulation
    JIANG San, JIANG Wanshou
    2020, 49(3):  322-333.  doi:10.11947/j.AGCS.2020.20190089
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    Image matching is an important issue in the fields of photogrammetry and computer vision. This study exploits the usage of Delaunay triangulation for reliable image matching. First, randomly located initial matches are organized by using Delaunay triangulation, and neighboring connection relationships are established evenly and stably. Second, local photometric and geometric constraints are constructed based on the line descriptor and spatial angular order, which converts the problem of removing outliers to that of analyzing the similarity of the Delaunay triangulation and its corresponding graph. Third, a match expansion operation is implemented based on the local geometric constraint deduced from two corresponding triangles. Finally, a reliable image matching method is proposed with the assistant of the hierarchical elimination and cross-checking strategies. The proposed algorithm is verified by using three datasets, and the results demonstrate that even with high outlier ratios the proposed method can reliably remove false matches and provide match results with high precision.
    Structure-aware simplified algorithm of mesh model for urban scene
    ZHANG Chunsen, ZHANG Hui, GUO Binxuan, PENG Zhe
    2020, 49(3):  334-342.  doi:10.11947/j.AGCS.2020.20190068
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    Aiming at the shortcomings of global geometric feature loss caused by quadratic error measure (QEM) mesh simplification algorithm, a structure-aware mesh simplification algorithm for urban environment 3D model reconstruction is proposed. The algorithm takes into account the planar structure features in urban images, and uses the proxy plane as the global feature constraint in the simplification process, so that the global structural features of the model are more preserved during the simplification process, which is conducive to the refinement and progressive transmission of the model (LOD technology), grid optimization speedup and other model follow-up operations. In this paper, the initial manifold triangle mesh model generated by oblique photography is taken as the experimental data. The proposed algorithm is used to simplify the mesh and compare with the QEM algorithm, which experimental results show that the proposed algorithm has excellent simplification accuracy and simplified efficiency than the QEM algorithm.
    Hyperspectral image classification method based on space-spectral fusion conditional random field
    WEI Lifei, YU Ming, ZHONG Yanfei, YUAN Ziran, HUANG Can
    2020, 49(3):  343-354.  doi:10.11947/j.AGCS.2020.20190042
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    Hyperspectral remote sensing image has the characteristics of rich spectral information and combining image with spectrum, which has been widely applied in the earth observation. Most of traditional hyperspectral image classification models don't make fully use of spatial feature information, rely too much on the spectral imformation, making the classification accuracy still have a lot of room to improve. Conditional random field (CRF) is a kind of probability mode that can better integrate spatial context information. It plays a more and more important role in hyperspectral image classification. However, most CRF models have the problem of excess smoothness, which will result in the loss of detail information. Aiming at this problem, this paper proposed a hyperspectral image classification method based on space-spectral fusion conditional random field. The proposed method designs suitable potential functions in a pairwise conditional random field model, fusing the spectral and spatial features to consider the spatial feature information and retain the details in each class. The experiments on two sets of hyperspectral image showed that, compared with the traditional methods, the proposed classification method can effectively improve the classification accuracy, protect the edges and shapes of the features, and relieve excessive smoothing, while retaining detailed information.
    Building area recognition method of remote sensing image based on MRELBP feature, Franklin moment and SVM
    ZHOU Jianwei, WU Yiquan
    2020, 49(3):  355-364.  doi:10.11947/j.AGCS.2020.20190073
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    To further improve the recognition accuracy of remote sensing image building area recognition, a classification method based on median robust extended local binary pattern(MRELBP) feature, Franklin moment and optimized support vector machine(SVM) by cuckoo search is proposed. Firstly, calculate the texture feature vector of the image block with MRELBP feature operator and use Franklin moment obtain the shape feature vector, the texture feature vector and the shape feature vector are combined into a comprehensive feature vector. Then train the SVM with training image samples, meanwhile, use cuckoo search to optimize the kernel function parameter as well as the penalty factor. Lastly, input the recognizing image into the SVM to get the result of building area recognition. The results of 30 groups of experiments show that, compared with the classification method based on RGB and SVM, the classification method based on LBP and SVM and the classification method based on Zernike moment and SVM, the accuracy of the remote sensing image building area identified by the proposed method is higher.
    Cartography and Geoinformation
    Sensing urban vibrancy using geo-tagged data
    ZHU Tingting, TU Wei, YUE Yang, ZHONG Chen, ZHAO Tianhong, LI Qiuping, LI Qingquan
    2020, 49(3):  365-374.  doi:10.11947/j.AGCS.2020.20190051
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    Promoting neighborhood vibrancy is vital for urban development. Recently, geotagged data provide unprecedented opportunities for discovering urban vibrancy patterns and their affecting mechanism. However, traditional urban vibrancy studies rely on fields survey therefore are time-consuming and highly-cost. This study constructs two urban vibrancy indices using point-of-interest and social media check in data. The spatial patterns of urban vibrancy are explored with spatial auto-regression analytic. Ordinary regression models (OLS) and spatial autoregression models (SAM) are established for revealing the influences of built environment on urban vibrancy by using geospatial data such as land use, roads and buildings. An empirical study in Shenzhen was implemented. The results show that:commercial land, industry land, mixed land use, the road density, and metro stations are five main factors highly influencing Shenzhen vibrancy. Residential land use and building footprints only have significant effects on vibrancy exhibited by POI. These exploratory findings demonstrate that urban vibrancy should be assessed and improved for different consideration.
    Urban expansion cellular automata model based on multi-structures convolutional neural networks
    XIE Zhiwen, WANG Haijun, ZHANG Bin, HUANG Xinxin
    2020, 49(3):  375-385.  doi:10.11947/j.AGCS.2020.20190147
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    Based on multi-structures convolutional neural networks, this paper proposes an urban expansion cellular automata model (MSCNN-CA) considering the multi-scale neighborhood information to explore the problem of traditional cellular automata (CA) models merely accounting for a single pixel's factors while mining the urban development suitability. This paper took the main urban zone of Wuhan and Pudong New District of Shanghai as examples to simulate the urban expansion process of the two study areas from 2005 to 2015. The experimental results show that, compared with two traditional CA models (LR, ANN), the three single-structure CNN-CA models constructed in this paper have different degrees of improvement in Kappa coefficient, FoM coefficient, hit rate (h) and miss rate (m). In particular, the FoM coefficient is increased by 23.3%~29.4% in the main urban zone of Wuhan and 20.3%~28.5% in Pudong New District of Shanghai. In addition, compared with the three single-structure CNN-CA models, the MSCNN-CA model is also improved in various indicators. Such as, the FoM coefficient is increased by 0.8%~4.8% in the main urban zone of Wuhan and 2.8%~7.8% in Pudong New District of Shanghai. The two study areas' simulation results show that, compared with the traditional CA models, the urban expansion cellular automata model based on multi-structures convolutional neural network (MSCNN-CA) can effectively improve the accuracy of urban expansion simulation and more realistically reflect the evolution process of urban expansion. Besides, both the stability and the accuracy of the MSCNN-CA model are improved comparing with the single-structure convolutional neural network CA model.
    Marine Survey
    A method of multi-stage bathymetric profile analysis combined uncertainty and its application
    LIU Zhihao, ZHAO Dineng, WU Ziyin, YANG Fanlin, WANG Mingwei, ZHOU Jieqiong
    2020, 49(3):  386-395.  doi:10.11947/j.AGCS.2020.20190188
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    Single-beam sounding technology is widely used in hydrographic survey in coastal and estuary areas. However, due to dynamic marine environment, it is difficult to obtain the depth at the same location in different periods, which makes it difficult to accurately compare and analyze the rapidly changing seabed topography. In order to solve this technical problem, this paper proposes a method of multi-stage bathymetric profile analysis combined uncertainty. Bathymetric profiles in different periods are constructed by steps including initial sounding uncertainty calculation, bathymetric and uncertainty transmission, Kalman filter, etc. Then, the profiles are compared and the topographic evolution is analyzed based on hypothesis testing. The method is verified by two-stage single-beam data measured in estuary area. The result shows that the method can obtain bathymetric profiles effectively comparison with actual profiles, and accurately evaluate topography with abrupt changes, which is of practical value for the analysis of rapidly changing subaqueous topography in estuaries, especially for navigational channels.
    Summary of PhD Thesis
    Research on key technologies of inertial navigation and its correction based on position information
    DING Leixiang
    2020, 49(3):  396-396.  doi:10.11947/j.AGCS.2020.20190064
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    Research on high precision GNSS real time landslide deformation monitoring technology and environmental modeling
    HAN Junqiang
    2020, 49(3):  397-397.  doi:10.11947/j.AGCS.2020.20190177
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    Research on several key problems of ill-posed and robust total least squares method
    SUN Tonghe
    2020, 49(3):  398-398.  doi:10.11947/j.AGCS.2020.20190098
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    Study on the solving methods of the ill-posed problems of the SBAS InSAR deformation model
    JIANG Zhaoying
    2020, 49(3):  399-399.  doi:10.11947/j.AGCS.2020.20190075
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    Research on rock surface extraction based on the integration of digital image and TLS point cloud data
    ZHANG Rongchun
    2020, 49(3):  400-400.  doi:10.11947/j.AGCS.2020.20190103
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    Spatial scope identification and characteristics analysis of urban agglomera-tion in mainland China
    LI Jia
    2020, 49(3):  401-401.  doi:10.11947/j.AGCS.2020.20190121
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    Research on statistic segmentation method of high resolution remote sensing image based on curvelet feature weighted
    WANG YU
    2020, 49(3):  402-402.  doi:10.11947/j.AGCS.2020.20190096
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