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    20 December 2014, Volume 43 Issue 12
    Automatic Analysis and Mining of Remote Sensing Big Data
    LI Deren, ZHANG Liangpei, XIA Guisong
    2014, 43(12):  1211-1216.  doi:10.13485/j.cnki.11-2089.2014.0187
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    With the diversification of the imaging methods and the growing categories, quantity, and observation frequency of remote sensing data, the ability of land-cover observation has reached an unprecedented level, which means a new era of big data in remote sensing is coming. However, the existing methods and processing techniques cannot fulfill the need of the big data application in remote sensing. Thus, to develop the automatic analysis and mining theory and techniques for remote sensing big data is among the most advanced international research areas. This paper investigates and analyses the domestic and overseas research status and progress around this field and points out its key problems and developing trends.
    Analysis of Environmental Loading Effects on Regional GPS Coordinate Time Series
    JIANG Weiping, XIA Chuanyi, LI Zhao, GUO Qiyou, ZHANG Shunqi
    2014, 43(12):  1217-1223.  doi:10.13485/j.cnki.11-2089.2014.0149
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    In order to discuss environmental loading effects on regional GPS coordinate time series, the data which includes Crustal Movement Observation Network of China (CMONOC) measurements from 1999 to 2011 and Wuhan Continuous Operational Satellite Positioning and Serving Syetem (WHCORS) measurements from 2007 to 2012, together with China and around 35 IGS stations measurements are reprocessed by GAMIT, and the GPS fiducial stations coordinate time series under the ITRF2008 are obtained. The effects of environmental loading are then calculated by QOCA to correct the coordinate time series. It is found that the displacements of GPS stations inside China caused by environmental loading exhibit remarkable regional characteristics. Coherent and bigger variations exist in the northeast, north and central China, as well as the southwest regions, among which the biggest root mean square (RMS) of the vertical loading displacement for stations in southwest region(KUNM) reaches up to 6.09 mm. By comparing the corrected and the uncorrected time series, it is found that environmental loading correction could remarkably reduce the non-linear variations of most stations' vertical and east coordinate time series inside China (accounting for about 70% of the selected GPS fiducial stations), among which the biggest reduction in the weighted root mean square (WRMS) reaches 1.5 mm. However, the improvement in the north components is quite limited.

    Combined Adjustment of CE-1 Stereo Camera Image and Laser Altimeter Data
    ZHAO Shuangming, RAN Xiaoya, FU Jianhong, GUO Qiuyan
    2014, 43(12):  1224-1229.  doi:10.13485/j.cnki.11-2089.2014.0178
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    CE-1 carries two types of mapping equipments: CE-1 Lunar laser altimeter and three-line-array stereo camera. Laser altimeter collects accurate laser altimetry data over the Lunar surface, while stereo camera acquires high resolution three-line-array CCD images. By means of an inconsistency analysis of stereo image and laser altimeter data, the CE-1 Laser altimeter ranges are expected to be incorporated into the bundle adjustment as measurements to improve accuracy of CE-1 image photogrammetric reduction. An improved exterior orientation model is proposed in which exterior orientation line element interpolation model is established with the 3 order Lagrange polynomial and the attitude interpolation model is established using spherical linear interpolation of quaternion. Secondly, a bundle combined adjustment of CE-1 stereo camera image and laser altimeter data is developed and implemented in this paper. experiment results show that the bundle combined adjustment model is effective.

    Modeling and Effects Analysis of PPP Ambiguity Fixing Based on Integer Phase Clock Method
    LIU Shuai, SUN Fuping, HAO Wanliang, LIU Jing, LI Haifeng
    2014, 43(12):  1230-1237.  doi:10.13485/j.cnki.11-2089.2014.0195
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    Three representative precise point positioning (PPP) ambiguity fixing methods have been developed, which include the single-difference between-satellite method, the integer phase clock method and the decoupled clock method. Currently, only the French CNES published products applied to PPP ambiguity fixing using the integer phase clock method. Therefore, it is necessary to study the client PPP ambiguity fixing model based on integer phase clock method. This paper analyzes PPP ambiguity fixing model based on the integer phase clock method, and highlights the difference between the ambiguity-fixed PPP model and the traditional ambiguity-float PPP model. A cascaded ambiguity fixing strategy is proposed to perform PPP ambiguity fixing with special regard to quality control. Numerous kinematic PPP experiments show that ambiguity-fixed PPP can obtain a fast convergence, a better and stability positioning accuracy, compared with ambiguity-float PPP.
    Research on LiDAR Surveying Satellite Detection Capacity for Different Terrains
    LI Xin, LIAO He, ZHAO Meiling, ZHOU Wenlong, CAO Shuiyan, ZHOU Shihong
    2014, 43(12):  1238-1244.  doi:10.13485/j.cnki.11-2089.2014.0188
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    Four basic models have been established in view of the slope terrain, the step and platform terrain, the vegetation terrain as well as the dividing terrain and research is focused on exploring the effect of irregular topography and distribution of reflectance on the spatial and temporal distribution of echo signal. Additionally, Monte-Carlo Method has been employed to simulate measuring accuracy of LiDAR Geiger mode detection under the four models. Through the numerical simulation, it is found that irregular topography mainly affects the time distribution of echo pulse and error can be eliminated under the statistics condition; the change of the distribution of echo signal is mainly caused by the variation of the landscape, so small error can be ignored. Such results prove that 3D Laser Surveying Satellite is advantageous to the detection over different landforms and physiognomy, such as architectures, hills, boundary zones and vegetative cover.
    A Novel Approach for Restoration of Low-rank Information from Remote Sensing Images via Matrix Completion
    MENG Fan, YANG Xiaomei, ZHOU Chenghu
    2014, 43(12):  1245-1251,1273.  doi:10.13485/j.cnki.11-2089.2014.0150
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    This paper puts forward a novel approach for restoration of low-rank information from RS images based on matrix completion, and carried out some denoising and inpainting experiments using the singular value thresholding operator through determinate sampling and warm starting. The results indicate that the effect of our method is dominant when addressing the recovery of missing information caused by polluting and sheltering, and moreover, the approach can preserve details and textures in the images and make structures coherent while restoring original images, which shows great potential in the application of RS-image denoising and thick clouds removal. Especially when images possess low-rank characteristics such as similar structures and regular textures, the performance of the approach proposed will be better.
    Comparison of Two Sensor Models for Multi-camera Rig System in Measurements
    JI Shunping, SHI Yun
    2014, 43(12):  1252-1258.  doi:10.13485/j.cnki.11-2089.2014.0169
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    According to a rigorous sensor model for multi-camera rig system, the error sources of the most widely used ideal panoramic sensor model are indicated, error distribution laws are deduced, and comprehensive comparison between the two models are given. First, the resection and 3D localization errors of the ideal model are analyzed respectively in a single panoramic image that shows the correlations both with the object-image distance and the viewing angle. Second, the epipolar errors of the stereo-pairs are analyzed, which are both affected by the rotation angles and z-coordinates of the image points. Finally, the comparative experiments are carried out in space resection, epipolar constraints and bundle adjustment with the two sensor models. The outdoor test shows the difference between the two models is slight, and both models achieve 1 pixel accuracy. In contrast, the indoor test shows that the rigorous model is stricter and produces obviously better measurement accuracy than the ideal model. All the test results are consistent with the deduced analytical error laws of the ideal panoramic sensor model.

    Joint Calibration Method of Airborne Dual-antenna Interferometric SAR
    WANG Mengmeng, HUANG Guoman, HUA Fenfen, WEI Jujie, LU Lijun
    2014, 43(12):  1259-1265.  doi:10.13485/j.cnki.11-2089.2014.0139
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    In order to improve the accuracy of DEM acquired by InSAR, every flight should fly pass the calibration filed, which required surveyors needed to lay corner reflectors repeatedly. Because laying reflectors repeatedly outside wastes time and human resources, a new joint calibration method of airborne dual-antenna InSAR was presented. The method could calibrate interferometric system parameters of multi-flight with laying reflectors one time and reduce the outside workload. At first, the method selected interferometric calibration parameters suited for airborne dual-antenna InSAR data based on the sensitivity equations calibration method, then it brought the local registration method and PS selection method in PSInSAR to select height connection points connected height data with multi-flight data in same area. Finally, it established respective error equations according to the height attribute difference between control points and connection points and formed joint calibration model using the above equations, after that, this paper proved the correctness and effectiveness of the new algorithm with CASMSAR-X data of China Surveying and Mapping Academy.
    An Image Match Method Based on Optical Flow Feature Clustering for Vehicle-borne Panoramic Image Sequence
    ZHANG Zhengpeng, JIANG Wanshou, ZHANG Jing
    2014, 43(12):  1266-1273.  doi:10.13485/j.cnki.11-2089.2014.0172
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    An image match method based on optical flow feature clustering is presented for vehicle-borne panoramic image sequence. The spatial domain and range domain of image feature space are built by the coordinates of SIFT multi-scale feature matching point and optical flow vector, then the panoramic image match is finished by Mean Shift attached to the optical flow clustering constraint condition in image feature space. Finally, panoramic geometric constraint of Ransac method is used for gross error detection. Several panoramic images are selected and used for experiment. The experiments of analysis and comparison were carried out in the conditions of the same inlier ratio, different inlier ratio and different data. The results show that the proposed method in the number and accuracy of correct matching points are superior to classic Ransac method and Pyramid Lucas-Kanade method, especially in the complex scene in low inlier ratio cases, the algorithm performance is relatively stable, and have better constraint effect for the gross error usually caused by repeat texture, moving objects and scale change.

    A Visual Variable Similarity-driven Symbolization Process Model for Point Datasets
    WU Mingguang
    2014, 43(12):  1274-1279.  doi:10.13485/j.cnki.11-2089.2014.0185
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    The visual variable similarity and drawing process reusability was analyzed in the process of point data symbolization. Then, a symbolic process model driven by visual variable similarity was proposed. Compared with the sequential symbolization process, the subprocess of symbolization could be shared in this model. For I/O-intensive symbol graphical construction process, graphic cache was proposed. For compute-intensive symbol graphical discretization process, scan line cache was proposed. For pixel-operation-intensive symbol rasterization process, raster cache was proposed. Under the precondition that drawing quality is ensured, the experimental results show that the method presented can significantly improve the symbolic efficiency for point datasets.
    A Line-shape-simplification Method for Schematization of Road Network Map
    TI Peng, JIA Hongguo, XU Zhu, TANG Jian, XIAO Liangliang
    2014, 43(12):  1280-1284,1292.  doi:10.13485/j.cnki.11-2089.2014.0190
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    The line shape simplification plays an important role in the production of schematic network maps. However, in current automated schematization methods, the simplification of line shapes either needs a threshold determined in manual manner so as to decrease the automated degree, or ignore the original line shape so as to reduce the map recognition. This study aims to tracke these problems and an automated method for the line shape simplification is proposed. In this method, a threshold for the simplication of line shapes was given and the line smoothing was applied to network map in this simplification process in order to improve the simplification degree of the line shapes. The experimental results indicated that the new method is able to automatically generate schematic maps with great clarity and well-preserved map recognition compared with their original shapes.

    The Fast Positioning and Optimal Combination Matching Method of Change Vector Object
    LUO Guowei, ZHANG Xingchang, QI Lixin, GUO Taisheng
    2014, 43(12):  1285-1292.  doi:10.13485/j.cnki.11-2089.2014.0191
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    The change-only information is important to the recording of object life cycle, the establishment of spatial-temporal database and the updating of GIS database. To solve the problem of low efficiency of traditional method in change detection when the data volume is large, we proposed a highly efficient method of change detection based on the grid-partitioning of data and the comparison of synthesis of spatial and attribute information. This method only detects the changed grid to reduce the detection region. In order to solve the matching problem of old features and new features, we propose a method named optimal combination-matching method. The method selects the optimally matched features through the comparison of the characteristic of spatial information and semantic information. The method's high efficiency and accuracy in change detection of large volume of spatial data and matching of changed features is validated by experiment.

    Diamond Discrete Grid Subdivision Method for Spherical Surface with Icosahedron
    ZHOU Liangchen, SHENG Yehua, LIN Bingxian, LÜ Guonian, ZHAO Zhipeng
    2014, 43(12):  1293-1299.  doi:10.13485/j.cnki.11-2089.2014.0192
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    Diamond discrete grids of spherical surface can meet the requirements of multi-scale spatial data modeling and analysis due to the advantages of simple structure and uniform directionality. This paper presents a new diamond discrete grid subdivision method for spherical surface with icosahedron. Firstly, the location of the icosahedron's vertexes on the spherical surface are determined according to the earth's major geographical features. Secondly, to solve the problem of grid convergence in poles, transformation relation between the latitude and longitude coordinates and 3D Cartesian coordinates are created. Then, a recursive subdivision approach of spherical diamond discrete grids is provided, and the geometric deformation of subdivision result is analyzed in terms of cell area and cell axial ratio. Finally, the feasibility of the method proposed is verified. The experiment results show that our subdivision method can construct spherical diamond discrete grids with icosahedron effectively, of which the general geometric characteristics are much better than that of the diamond discrete grids with octahedron.

    Point Group Generalization Method Based on Hierarchical Voronoi Diagram
    LI Jiatian, KANG Shun, LUO Fuli
    2014, 43(12):  1300-1306.  doi:10.13485/j.cnki.11-2089.2014.0166
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    The importance of the point is described by distance weight and the clustering center point of a point group is obtained by modified k-means algorithm. Furthermore, the clustering center is taken as base to construct hierarchical weighted Voronoi diagram and hierarchical tree structure. Distribution scope, arrangement, and density of the group is taken as the measurement to construct the point generalization method based on hierarchical Voronoi diagram tree structure, thus ensuring the consistency in spatial morphology before and after. Combination with geological statistics calculation, this generalization method is estimated and optimized. Finally, the practicability and availability of this method is confirmed through concrete experiment.