Loading...

Table of Content

    20 August 2014, Volume 43 Issue 8
    A Closed-form of Newton Iterative Formula for Nonlinear Adjustment of Distance Equations
    Xue shuqiang Yuanxi Yang Yamin Dang
    2014, 43(8):  771-777. 
    Asbtract ( )   HTML   PDF (936KB) ( )  
    References | Related Articles | Metrics

    distance equations; nonlinearity; least squares; Gauss-Newton method; Newton method; ill-conditioning

    The Application of Block-diagonal Least-squares Methods in Geopotential Model Determination
    2014, 43(8):  778-785. 
    Asbtract ( )   HTML   PDF (3393KB) ( )  
    References | Related Articles | Metrics

    Six kind of permutations of spherical harmonic coefficients and their block diagonal form of corresponding normal matrixes were studied as well as three kinds of approximation BDs: BD-1, BD-2, BD-3. The application of block-diagonal least-squares methods in geopotential model determination was analyzed and its advantage to quadrature formulas was showed by a simulated calculation. It illustrated that, with the global terrestrial gravity data and the satellite gravity field model whose accuracy was being improved continuously, block-diagonal least-squares methods are playing an increasingly important role in the calculation of the ultra-high-degree gravity field model.

    Autonomous Integrity Monitoring of Tightly Coupled GNSS/INS Navigation System
    2014, 43(8):  786-795. 
    Asbtract ( )   HTML   PDF (6702KB) ( )  
    References | Related Articles | Metrics

    Reliability and separability are two crucial indicators to assess the performance of system integrity. In this paper, the system reliability and Fault Detection and Isolation (FDI) capability were analyzed upon multi-constellation GNSS navigation system and GNSS/INS integrated navigation system. Simulation results show that by fusing multi-constellation GNSS systems, the satellite geometric strength is largely enhanced so as to improve the system internal reliability and the capability of FDI. Besides, the system reliability and separability are further improved by integrating GNSS and INS. The higher the accuracy of the inertial sensors, the better the system performance in terms of reliability and ability of FDI.

    Assessment of Precise Orbit Determination of JASON-2 Satellite Using Different Observation Technologies
    2014, 43(8):  796-802. 
    Asbtract ( )   HTML   PDF (983KB) ( )  
    References | Related Articles | Metrics

    This paper studied the accuracy of precise orbit determination by using different observation technologies such as GPS, SLR and DORIS respectively based on different orbit validating method, and taken JASON-2 as example to analysis attitude model error and its effect on orbit, discussed in detailed the strategy of orbit determination, orbit accuracy and orbit stacking based on results of orbit validating. Experiment has been carried out by using observational data and the results show us that: the attitude model error on orbit determined by DORIS, GPS and SLR respectively is 0.040、0.036 and 0.033m. The orbit determined by DORIS is the best among that determined by GPS, SLR and DORIS and the orbit determined by SLR is the worse. When we combine the orbit determined by GPS, DORS and SLR by using the weight based on result of SLR validating and orbit Overlap, the combined orbit have similar accuracy, when comparing it with JPL orbit, it show us that the radial accuracy can reach to 2 centimeters.

    The application of Radial basis function neural network in the GPS satellite clock bias prediction
    2014, 43(8):  803-807. 
    Asbtract ( )   HTML   PDF (4869KB) ( )  
    References | Related Articles | Metrics

    For satellite atomic clocks can be easily influenced by various factors in space, the clock behaviour are not sufficiently described and achieved a reliable high-precision prediction by the existed model, such as a linear model, a quadratic polynomial model, grey model and so on. Radial basis function neural network was used to the continuous prediction of many GPS satellite clock bais with five minutes, one hour and one day in this paper, the root mean square error was better than 0.4ns, 0.5ns and 1ns, respectively, these prove the reliability of the radial basis network structure on the clock error forecasting in this paper.

    Assessment of zenith tropospheric delay derived from Single-Site Improved EGNOS model over Asia area
    2014, 43(8):  808-817. 
    Asbtract ( )   HTML   PDF (7003KB) ( )  
    References | Related Articles | Metrics

    In this study, four years of the zenith tropospheric delay (ZTD) data from 2008 to 2011 are observed from 46 IGS sites distributed in Asian area is regarded as reference valve that used to assess the accuracy of ZTD calculated from EGNOS model. The Single-site Improved EGNOS model(named as SSIEGNOS model) over Asian is established by using three years of daily bias of the ZTD calculated from the EGNOS model that analyzed by Fast Fourier transformation, and the accuracy and application of the EGNOS model and SSIEGNOS model are also analyzed in Asian area. The results are: (1) the bias and RMS show a seasonal variation for the EGNOS model, while for the SSIEGNOS model, the bias and RMS are small and stable. (2) The relation between the bias and the altitude, longitude and latitude are not obvious for the two models, but the RMS decreases with increasing altitude or latitude. (3) Relative to EGNOS model, a significant improvement can be achieved using SSIEGNOS model to predict the ZTD.

    Ambiguity Decorrelation Algorithm with Integer Block Orthogonalization
    2014, 43(8):  818-826. 
    Asbtract ( )   HTML   PDF (1344KB) ( )  
    References | Related Articles | Metrics

    Since the round-off error will affect the effect and the success rate of the down correlation along with the increase of the matrix’s dimension,this paper introduces the idea of block Gram-Schmidt orthogonalization, and designs the Integer Block Gram-Schmidt Orthogonalization algorithm, meanwhile combines the LLL algorithm to propose the IBGS-LLL decorrelation algorithm. It analyzes the decorrelation effect of different block style with different dimension by using the random simulation method, and confirms the block manner of different measuring mode. This paper compares the IBGS-LLL algorithm with the improved LLL algorithm under kinematic and static mode to prove that the IBGS-LLL decorrelation algorithm possessing has better effect and higher success rate of ambiguity decorrelation.

    A Space Resection Synthetic the Multiple Features
    2014, 43(8):  827-834. 
    Asbtract ( )   HTML   PDF (2284KB) ( )  
    References | Related Articles | Metrics

    In order to resolve the current problems of Space Resection caused by lacking of obvious feature points in applications of photogrammetry, computer vision field, a new method of Space Resection based on the generalized point photogrammetry theory is proposed, put forward by using horizontal and vertical line, line segment and circle, the mathematics model of the method and its application range are discussed. Simulated and real experimental results show that the proposed approach is feasible in practice, and can greatly reduce the dependence of traditional resection method on feature points, and the introduction of the redundant observation value can also improve the accuracy and stability of the calculation results to a certain extent.

    Auto-orientation of Multi-stations TLS point clouds with bundle block adjustment
    2014, 43(8):  835-841. 
    Asbtract ( )   HTML   PDF (1018KB) ( )  
    References | Related Articles | Metrics

    In order to calculate parameters of coordinate-converting of multi-stations TLS point clouds and convert point clouds in scanner's own coordinate system to specified-engineering surveying coordinate system, a mathematical model regarding bundle block adjustment is proposed. Based on Rodrigo Matrix, the model sets the lights between the central of scanner and targets as units which make up adjustment equations. The equation is accompanied unknowns for single light and constraints for lights between shared targets. There are six approaches to bundle block adjustment according to different types of observations and experiments showed one of them called "mathematic model lies in the assumption that specified coordinates is of high accuracy while scanned coordinates contains several measurement errors ". The final experiments results show that the external-accordance-accuracy is within 1CM, indicating an order of magnitude improvement when compared with Independent Models. Converted scanner's own coordinates are capable of meeting the accuracy of terrestrial map surveying with the scale of 1:500.

    Built-Up Areas Extraction of High-Resolution Remote Sensing Images by Texture Driven Visual Attention Mechanism
    2014, 43(8):  842-847.  doi:j.cnki.11-2089.2014.0131
    Asbtract ( )   HTML   PDF (5586KB) ( )  
    References | Related Articles | Metrics

    An effective built-up areas extraction algorithm of high-resolution remote sensing images is proposed in this paper. Based on a signal processing method, we present a texture description method for the characteristics of built-up areas in high-resolution remote sensing images. Through an information theory based visual attention mechanism, a saliency map is calculated to extract built-up areas. Experiments prove the effectiveness of the proposed algorithm.

    Cloud Detection for Landsat Images by Combination of ACCA with WSVM
    2014, 43(8):  848-854. 
    Asbtract ( )   HTML   PDF (1348KB) ( )  
    Related Articles | Metrics

    A cloud detection algorithm combining ACCA (automatic cloud cover assessment) with WSVM (weighted support vector machine) is proposed to solve the problem that ACCA algorithm is difficult to detect the translucent cloud on Landsat images. Firstly, the ACCA algorithm is used to divide image pixels into cloud pixels, non-cloud pixels and undetermined pixels based on the atmospheric radiation characteristics of cloud in different bands and the spectral characteristics of Landsat ETM + image data. Then using the spectral properties of cloud to construct feature vectors, and using WSVM algorithm to detect the undetermined pixels, the cloud detection results of all the images are obtained. Experimental results show that this method not only has the advantages of ACCA cloud detection algorithm, but also has good detection effect for the translucent cloud which is hardly identified by ACCA.

    Semi-supervised collaborative classification for hyperspectral remote sensing image with combination of cluster feature and SVM
    2014, 43(8):  855-861. 
    Asbtract ( )   HTML   PDF (1146KB) ( )  
    Related Articles | Metrics

    This paper proposes a semi-supervised collaborative classification for hyperspectral remote sensing image with combination of cluster feature and SVM. The frame of our method combines kernel-spectral fuzzy C-means and semi-supervised SVM to improve the classification accuracy, through making full use of the advantages of classification and clustering. In details, ClusterLoss, ClassConsistent, classification difference and sample difference are created to build the collaborative classification frame, which can make the best of limited labeled samples and lot unlabeled data. This approach can minimize the cost of acquisition of labeled samples and in some degree solve the problem that support vector increases linearly with the number of training samples. Experimental results show that classification accuracy of the proposed method is more effective than that of semi-supervised SVM.

    Global Remote Sensing Data Subdivision Organization Grid
    2014, 43(8):  869-876. 
    Asbtract ( )   HTML   PDF (1261KB) ( )  
    References | Related Articles | Metrics

    At present, there are various data grids to organize data in different department data centers. In order to seek a compatible with the existing surveying and mapping data and more suitable for remote sensing image data organization grid, this paper analyses some grids, such as Worldwind, Google Earth, Google Maps, Bing Maps, Mapworld, GeoSOT (Geographical coordinate Subdividing grid with One dimension integer coding on 2n-Tree) and subdivision and numbering for the national primary scale topographic maps, and so on. It theoretical proves that GeoSOT has good isomorphism with National Topographic Map and other above grids. Because of the advantages, GeoSOT grid is more conducive to traditional surveying and mapping data inheritance and is suitable to organize global remote sensing data. So, under the premise of keeping the existing data organization, this paper puts forward a virtual one global grid for global remote sensing data organization based on GeoSOT. It also proposes specification data products fast generating method by GeoSOT cells aggregation. At last, test shows that it is very significant to prove data integration efficiency with the virtual one global grid for global remote sensing data organization based on GeoSOT.

    Study on Monitoring the Time Series Ground Deformation in Mining Area Based on CRInSAR and PSInSAR Integration
    2014, 43(8):  878-878. 
    Asbtract ( )   HTML   PDF (664KB) ( )  
    Related Articles | Metrics

    1

    Research on Registration Method between Vector Data and Image Data based on Shape Feature
    2014, 43(8):  879-879. 
    Asbtract ( )   HTML   PDF (649KB) ( )  
    Related Articles | Metrics

    We proposed the idea of transforming the registration of vector spatial data and raster images to vector spatial data matching and carried out related research. The main idea of this paper: first,feature extraction based on shape feature of remote sensing images and vectorization, and then to match vectorization data and existing vector spatial data using vector spatial data matching method; then to choose some ground control points in the matching entities, and then get the corresponding pixel coordinates of the ground control points by the ground control points of the vectorization data is fed back to the original remote sensing image; final, to geometric correction of the original image using the ground control points coordinates of the existing vector spatial data and the corresponding pixel coordinates of the original image, in order to achieve the registration purpose of the vector spatial data and raster data.

    Models of Spatial Marking and Reporting for Geographic Updating
    2014, 43(8):  880-880. 
    Asbtract ( )   HTML   PDF (655KB) ( )  
    Related Articles | Metrics

    Change discovery is one of the important procedure of geographic information update, meanwhile, current information marking and reporting is an important means of change discovery. Its advantage is to integrate with various sources of information effectively. The shortcoming is as follows: the efficiency of plotting by hand is low; the cycle for report and summary is long; interactivity is bad, can't meet the demand of dynamic update for geographic information change in informatization condition. It is a feasible way that introduced networked method into geographic information change marked and reported to overcome traditional shortcoming in current situation. In order to realize the networking marking and reporting, we need to study the following aspects: the change outline classification and object reconstruction, to solve the "marked what"; the publish/subscribe model for reported information transfer orderly, to solve "how to transfer"; the design of the user participation multistage interactive technology,to solve the problem of "how to marked". The main research contents and innovative results are as follows: (1) For the proposed new requirements of changes in the information reported, a classification of changes in outlines and reconstruction method with the goal of updating is presented in this paper; it generates outlines object increments using lower-dimensional, with the original line snapshot to refine the classification together, analysis and summarize the classification of changes outlines and the classification parameters describe the model; On this basis, it designs updating calculation in outlines for each type of changes classification, performs the corresponding update operator, concludes the fusion rules. (2) On the analysis of the network environment for information collection and transmission, a spatial publish/subscribe model for reported information transfer orderly is proposed. The spatial change and marking level is introduced to the original pub/sub. Firstly, we provide the formal description method for marking events, including change contour line and parameters, the description of the marking level, based on this, given the marking content framework. The spatial and temporal information is introduced into subscribe expression to expand the subscribe model. In order to realize the matching between multilevel publishes and the space-time subscribe, puts forward a multidimensional index counting event matching algorithm. (3) According to the demand of networked marking multistage interaction, put forward a model of multistage interaction marking based on the spatial blog and multilevel access control. Firstly, the interaction concept model which includes three aspects of information exchange, standardization and visualization is introduced. And then the method of constructing spatial blog is presented. Its construction entities and relationships are introduced in detail in the blog model. The polymerization between map and blog service is realized by Mashup technique. During further anglicizing the shortcoming of RBAC, an improved model named E-RBAC is proposed. In this model, the user group is introduced to solve the multilevel problem of marking. (4) Finally, a prototype system is developed using .Net, Oracle and Google Maps API to examine the methods and algorithms presented in this dissertation. Experimental results show evidence of the reasonability and practicability of the marking and reporting model proposed by this paper. This dissertation proves the validity of network marking and reporting for change information of topographic data. The design of change outline classification and object reconstruction, the publish/subscribe model for reported information transfer orderly, the design of the user participation multistage interactive technology can be maintained based on the models and methods presented in this dissertation.