Table of Content

25 December 2017, Volume 0 Issue 12

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BDS Satellite Real-time Orbit Determination and SSR Correction Generation

ZHANG Longping, DANG Yamin, GU Shouzhou, WANG Hu, XU Changhui, HAN Hengxing

2017, 0(12):  1-5.  doi:10.13474/j.cnki.11-2246.2017.0368

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With the continuous development of GNSS applications,real-time location service has become a hot research at home and abroad,but the real-time service of BeiDou navigation satellite system is still at the stage of development.Firstly,based on the basic principle of satellites precision orbit determination,this paper discusses the real-time orbit determination strategy of BeiDou navigation satellite.Secondly,the method of generating SSR orbit correction based on satellite center of mass and antenna phase is studied,and a way to express the IODE value for BeiDou navigation satellite is proposed.Finally,the data from the national and MGEX stations are processed to determine BDS satellite real-time orbit. The results show that,1D RMS accuracy of GEO satellite is better than 400 cm,the average accuracy is 223 cm,the radial accuracy is better than 20 cm;IGSO satellite accuracy is better than 30 cm,the average accuracy is 22 cm,the radial accuracy is better than 10 cm;MEO satellite accuracy is better than 30 cm,the average accuracy is 15 cm,the radial accuracy is better than 10 cm.

Combine Region Stack Filtering and Wavelet Transformation to Reduce Noise in GPS Coordinate Time Series

MA Jun, ZHOU Xiaohui, ZHU Zhaohan

2017, 0(12):  6-11.  doi:10.13474/j.cnki.11-2246.2017.0369

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The periodic and nonperiodic errors in coordinate time series of GPS stations have seriously affected the analysis of the characteristics of the stations and the explanation of the physical mechanism of the nonlinear motion. Therefore, in order to weaken the influence of noise, the region stack filtering method is used to remove the common mode error of the time series of 16 stations in Southern California, which weakens the periodic errors including annual and semi-annual errors in time series. In order to remove the residual noise after filtering, the filtered signals are subjected to static discrete wavelet transform processing, and the signals with the periods of more than half a year are extracted. The results show that the combined region superposition filtering method and wavelet transform can deal with the time series of GPS station coordinate time series, which can weaken the influence of periodic errors of the signal and extract the nonlinear motion signals of the station as well.

Research on Real-time BDS+GPS Dual Systems Wide Area Differential Location Technology Based Android Platform

LI Jie, BI Jinzhong, LI Dehai, ZHOU Wanzhen, ZHU Shijie

2017, 0(12):  12-15.  doi:10.13474/j.cnki.11-2246.2017.0370

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With the popularity of smart phones,location service applications based on mobile intelligent terminals are rapidly expanding.Android intelligent terminal occupies because of its high cost performance and the majority of the user market,but its positioning accuracy needs to upgrade.Therefore,the usage of wide area differential augmentation technology to improve the accuracy of indoor and outdoor location services,has become the current research hotspot.This paper uses the Android studio 2.2.2 platform,Java and JNI technology to develop the BDS+GPS wide area differential positioning software,the software reads satellite observation data of the original BeiDou mobile terminal,analyzes the difference data flow correct real-time orbit and clock, to achieve augmentation positioning through the serial port.In the mobile terminal hardware platform,we run real-time BDS+GPS WAAS software,analyze the positioning results.Single frequency positioning accuracy of double wide area system is 4 meters,and it has important application value in GNSS satellite technology in low cost mobile terminal location service.

Improving Spatial Resolution of WorldView SWIR Imagery Based on Image Fusion

ZHAO Zhan, LU Ying, XIA Wang, YAN Li

2017, 0(12):  16-20.  doi:10.13474/j.cnki.11-2246.2017.0371

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A new short wave infrared sensor,which can provide eight bands of SWIR imagery,is carried in the WorldView satellite,in addition to previous visible and near-infrared sensor that can acquire eight bands of visible and near-infrared imagery. But the spatial resolution of SWIR imagery is much lower than multispectral imagery,which affects its application. A new image fusion method based on non-subsampled wavelet transform and principal component transform is presented for improving the spatial resolution of SWIR imagery. The experiment shows the mothed can gain good fusion image,with spatial resolution significantly improved and original spectral property well maintained,in terms of visual observation and quantitative measures.

Implicit Surface Reconstruction of Urban Scenes Based on Oblique Images

ZUO Zhiqiang, HUANG Xianfeng, YANG Chong, ZHANG Fan, GAO Yunlong

2017, 0(12):  21-28.  doi:10.13474/j.cnki.11-2246.2017.0372

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In the process of urban scenes reconstruction based on oblique images,due to the scenes occlusion and large view-point changes in oblique imagery acquisition,dense image matching is quite challenging in scenarios like building facades and other vertical objects,leading to a sparse or leaky point cloud and can be hard to reconstruct the urban scenes precisely.A new urban scenes implicit surface reconstruction method is proposed based on oblique images.Firstly,it builds an adaptive tetrahedral decomposition of space by computing 3D Delaunay triangulation of the dense point cloud.Secondly,a triangular mesh is generated using the graph cut algorithm on Delaunay tetrahedron to make a more accurate estimation of the normal information of the point cloud.Finally,combined with Screened Poisson surface reconstruction method,an implicit surface reconstruction is conducted for the urban scenes.Experiments and comparison with other three implicit reconstruction methods show the accuracy and applicability of the proposed method.

The Relationship Research Between Wind Speed and the Underlying Surface Roughness in Beijing During 1993—2011

LI Zhikun, ZHANG Fengli, WANG Guojun, SHAO Yun

2017, 0(12):  29-32.  doi:10.13474/j.cnki.11-2246.2017.0373

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In recent years,Beijing has encountered serious air pollution problem. Atmospheric pollutants diffusion has a great correlation with the wind speed and the underlying surface roughness. Therefore,the 1993-2011 China ground international exchange station wind data are used to analyse the characteristics of the change of wind speed and direction in the ground. The results show that from 1993 to 2011 in Beijing,the average wind speed decreases. Since 2006 wind speed is significantly changed,the analysis shows that the frequency of north wind decreased may be a mainly reason. On this basis,we use the 2007-2011 ALOS PALSAR and night light data to extract and analyse the land expansion of Beijing. To analyze the relationship between wind speed and direction change of Beijing with surface roughness. The results show that the city expansion causes the increase of roughness,drags the north wind,leeds to decreased of wind speed and changes the wind field in Beijing city.

Study on Instantaneous Imaging Model of Aerial Time Series Images

GAO Li, LIU Zhi, JIANG Zhenzhi, ZHANG Xiangrong

2017, 0(12):  33-37.  doi:10.13474/j.cnki.11-2246.2017.0374

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Object in the object space is moving absolutely with the time. The differences of movement caused the changes of the relative position. Time series images recorded the dynamic changes of the object space. Based on the dynamic characteristics of time series images, this paper introduced the time element to the collinear equation and derived instantaneous imaging model of time series images in order to describe the dynamic relationship between the object space and image space. This paper established the application model which different dynamic object can extract the motion features or elevation information from the dynamic image characteristics. Through simulation and analysis of real aerial image sequences test, it is shown that the instantaneous imaging model of time series images proposed in this paper can quantitatively calculate the mapping relationship between the image and the object.

Experimental Study on the Tilt of Wind Turbine Tower by Using Laser Point Cloud Data

XIE Hongquan, YANG Tao, XU Dewei, QIN Yazhou, LU Xia, WANG Chen

2017, 0(12):  38-42.  doi:10.13474/j.cnki.11-2246.2017.0375

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The daily operation and maintenance of the wind power tower is very important. It is of great practical significance to study the tilt observation of the wind power tower by using ground 3D laser scanning technology. Selection of maling wind power project 7# wind turbine tower as the research object, using the Leica C10 3D laser scanner laser point cloud data, and the data are processed by Cyclone software. Cyclone software is used to obtain the center coordinates of 40 sections of the tower barrel, and the slope is calculated and compared with that obtained by the synchronous total station. The results show that the ground-based three-dimensional laser scanning technique is more comprehensive and meets the requirements of monitoring accuracy, and has great application value.

Classification of Hyperspectral Remote Sensing Image Based on S³VM Model

WEI Lifei, FENG Xiuqiang, LI Dandan, MOU Ziwei

2017, 0(12):  43-47.  doi:10.13474/j.cnki.11-2246.2017.0376

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The traditional hyperspectral remote sensing image classification is limited by the number of training samples,so it is difficult to obtain the better classification results.This paper proposes a hyperspectral remote sensing image classification method based on semi-supervised support vector machine of clustering kernel.The method constructs a kernel matrix to obtain more excellent classifier by semi-supervised support vector machine and unlabeled sample,and improves classification accuracy based on small sample.The experimental results show that the classification accuracy of this method proposed in this paper is better than the traditional method,and has good stability.

Comparison of Change Detection Methods for Remote Sensing Imageries: Take Yanse Lake Disaster Area as an Example

TANG Zhipeng, FANG Guodong

2017, 0(12):  48-52.  doi:10.13474/j.cnki.11-2246.2017.0377

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A certain correlation exists between the changes of an object (phenomenon) at different time,which can be used as one of the important features to detect changes. Many traditional change detection methods like layer arithmetic,change vector analysis,and multi-data direct comparison take no consideration of context information and spectral and spatial correlation. Neighborhood correlation images (NCIs) and cross correlation analysis (CCA) change detection methods that use spectral and spatial correlation information to extract changes in land-use both have been verified to have a good accuracy. In this paper,these two methods are applied and evaluated in order to verify their applicability. Dual phase images from GF-1 satellite of yanse lake disaster areas are chosen to conduct the experiments,where the supervised NCIs and the supervised post-classification comparison (PCC) based on support vector machine (SVM) and maximum likelihood,and the unsupervised CCA and the unsupervised PCC based on ISODATA have been compared. The results indicate that the supervised NCIs method shows the highest overall accuracy with a 3-pixel radius of neighborhood,93.05%,and it is a little higher than the supervised PCC method based on SVM whose overall accuracy is 90.52%. The demerit of the NCIs method is the constraint of neighborhood size. Moreover,the unsupervised CCA method performs best with a threshold of 20 pixels,where the overall accuracy is 93.95%. It shows more advantages than the unsupervised PCC method based on ISODATA,the overall accuracy of which is 90.52%.However,it is not easy for the CCA method to choose the proper threshold and obtain the ground-truth of a single phase image.

Building Extraction from High Resolution Remote Sensing Imagery with Multi-feature and Multi-scale

LIN Yuzhun, ZHANG Baoming, XU Junfeng, HOU Kai, ZHOU Xun

2017, 0(12):  53-57.  doi:10.13474/j.cnki.11-2246.2017.0378

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Buildings vary in different shapes and sizes in high resolution remote sensing imageries, and the phenomenon that large within-class spectral variations and between-class spectral confusions also exist. In this paper, a method based on spectral feature, shape feature, texture feature and multilevel segmentation is proposed. Firstly, the original extraction is carried out by calculating the MBI, threshold segmentation and shape features. Then, object-oriented analysis is used for multi-scale segmentation and texture feature is used for building recognition in single scale. Finally, multi-scale fusion is used for the ultimate extraction. The presented method is evaluated with an image of Okinawa, Japan. The experiments show that the proposed building extraction algorithm can provide satisfactory precision ratio with a high level of recall ratio.

Calibration for DMSP/OLS Stable Nighttime Light Images

ZHANG Mengqi, HE Zongyi, FAN Yong

2017, 0(12):  58-62,76.  doi:10.13474/j.cnki.11-2246.2017.0379

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Because of the uncontinuity and the oversaturation of DMSP/OLS stable nighttime light images,the data cannot be compared with each other directly.Therefore,it's necessary to calibrate images before using them.In this paper,a new method is proposed to calibrate the nighttime light data,including mutual correction between sensors,continuity correction and oversaturation correction.The 34 images of 1992-2013 time series are corrected using this method systematically.And then the evaluation for the result is carried out,including visual evaluation,quantitative evaluation,relative evaluation and advantage analysis.After calibration,the continuity and stability of the images are greatly improved,and the linear correlation between nighttime light data and the economic data is stronger.Error introduction in the traditional method is avoided.This method leads to a good calibration result.

Road Extraction of Remote Sensing Imagery Using G Statistics of Object Histogram

CHU Heng, LI Hongchuan, LIU Hongbin

2017, 0(12):  63-67.  doi:10.13474/j.cnki.11-2246.2017.0380

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This paper proposes a new road extraction method of remote sensing imagery based on G statistics of object histogram.Firstly,the original imagery is segmented using marked-watershed algorithm to obtain imagery objects, and the imagery objects' spectral features are extracted,the built-up areas containing roads and buildings are separated based on SVM. Then the appropriate objects are chosen as training samples.G statistics is used to measure the histogram distance between test samples and training samples which describes the heterogeneity of two objects.Minimum distance classifier is employed to separate the road information and buildings in built-up areas. Finally,the final road information is extracted integrating the shape features and mathematics morphology.The result of experiment shows that the proposed method can fairly well extract the road information.

Remote Sensing Imageries Change Detection Combined with Mean-shift Segmentation and Cluster Analysis

FANG Xu, WANG Guanghui, YANG Huachao, LIU Huijie, WANG Geng

2017, 0(12):  68-71.  doi:10.13474/j.cnki.11-2246.2017.0381

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In order to solve the problem that the traditional remote sensing imageries change detection method has high quality requirements,low adaptability range and low detection precision,on the basis of introducing the idea of outlier detection,a remote sensing imageries change detection method combined with mean-shift and cluster analysis is proposed in this paper.First,early stage geographic situation vector is used to register with the RS image,and the multi-scale subdivision of the remote sensing imageries is done.The resulting small image inherits the original pattern category attribute,and then extracts the spectral,geometric,texture,and exponential features of the image.And then clustering the extracted multi-feature based on GMM-EM.According to the type of clustering,the change pattern is determined by comparing with the original vector pattern.The experimental results show that the method is effective and reliable,which provides a new idea for remote sensing image change detection.

Analysis on the Precision of Laser Scanning Point Cloud in Underground Space

HAN Wenquan, HU Wusheng, CHEN Xin, WANG Menghe

2017, 0(12):  72-76.  doi:10.13474/j.cnki.11-2246.2017.0382

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The point cloud data of underground space were acquired with four kinds of laser scanning devices,and three-dimensional coordinates of the feature points in the area were measured with the total station. All data used unified spatial reference. The three-dimensional coordinates of feature points were obtained from the point cloud data separately. The analysis of two measurements showed that the accuracy of position using mobile scanning device was slightly lower than using static one,the mean square error was 0.128 m in the weakest direction,on the contrast the static was 0.039 m.The measurement precision of 1:500 DLG can be obtained by the mobile laser scanning device in the underground space.

Automatic Comparison and Analysis of Road in Multi-source Navigation Electronic Map

XIE Zhiwei, JIA Yonghong, SUN Lishuang

2017, 0(12):  77-81.  doi:10.13474/j.cnki.11-2246.2017.0383

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In order to evaluate the quality of the road in navigation electronic map,a method of automatic comparison and analysis of road in multi-source navigation electronic map is proposed.Road networks are automatically extracted firstly,and difference between the road networks in multi-source navigation electronic map is detected using algorithms based on buffer analysis.Intersections of road are detected afterwards using Shi-Tomasi operator and the number of road is count,which realizes quantitative comparison and analysis of multi-source navigation electronic map.Experiments have proved the effectiveness of this method.

Automatic Extraction of Bridges with Shape and Texture Characteristics Using High Resolution SAR Images

JIA Hongguo, LIU Luyao, WEI Bowen, ZHANG Mengyi, WU Yan, ZHANG Hao

2017, 0(12):  82-85.  doi:10.13474/j.cnki.11-2246.2017.0384

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This study proposed an automatic extraction method of bridge information based on the shape and texture characteristics of bridges in high resolution SAR images.This method consists of three steps:①elimination of noise by time-series image averaging;②detection of water-areas by a threshold;③extraction of bridge information based shape and texture characteristics of bridges.The experimental results show that the precise of extraction by the method proposed in this study can reach 87.5% and is significantly better than traditional methods.The experimental evaluation indicated that this method has high reliability and feasibility for automatic extraction of bridge information from high resolution SAR images.

Applicability Analysis of GF-2 Imagery Mapping

SHI Yuanli, FU Zhuo, JIANG Jun, ZHANG Xue

2017, 0(12):  86-89.  doi:10.13474/j.cnki.11-2246.2017.0385

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The environmental mapping is an important application of high spatial resolution remote sensing images. Based on the mapping progress of GF-2 imagery,some key processing techniques are discussed including natural-color band simulation,the relationship between eye resolution and DPI and the choice of spatial resolution and mapping scale. Actual works prove that these techniques are very useful for imgeries mapping based on high spatial resolution images.

Recognition of Damage Buildings in Hollow Village Based on Texture Feature of Gray Level Co-occurrence Matrix

XIE Jiali, LI Yongshu, LI Hechao, WU Xi

2017, 0(12):  90-93,102.  doi:10.13474/j.cnki.11-2246.2017.0386

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Rapid recognition of hollow villages from UAV images can not only accurately get location distribution of damaged buildings,but also provide guidance material for field investigation.This paper presents a method of visualizing damage buildings in hollow villages.Firstly,we mark the buildings one by one in experimental area.Then,the texture and spectral feature parameters of each building are calculated.For a single building,parameters that are positively correlated with the level of damage are normalized to form a parameter vector.Finally,the distribution and damage level of damaged buildings can be exhibited according to the visualization results of parameter vectors.Experimental results show that this method can realize recognizing damage buildings in UAV images,and get initial understanding of buildings damage level.In summary,this method can effectively and rapidly realize the recognition of damaged buildings with high resolution images.

Application of Oblique Photography and Laser Point Cloud in Large Scale Mapping

SHEN Shujuan, YU Zhiqiang, HUANG Hua, ZHU Yanmin, WU Binzhuo

2017, 0(12):  94-97.  doi:10.13474/j.cnki.11-2246.2017.0387

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In traditional large scale mapping,the method of obtaining the building's line is inefficient with high-precision or efficient with low-precision.According to the analysis of the oblique 3D model,the paper proposes a fast feature extraction method of building's feature line based on the linear axiom.In view of the status that elevation points are acquisited manually,a new method for the automatic generation of elevation points is proposed.It can be realized by the classification and interpolation of the laser point cloud data.Study proves that the method can get good results in both accuracy and efficiency and improve the degree of automation.

Study on Entropy Weight and Grey Target Estimation Method of Community Disaster Reduction Capability: Take Suzhou New District as an Example

LIAN Dajun, ZHU Jin, LI Guangbin

2017, 0(12):  98-102.  doi:10.13474/j.cnki.11-2246.2017.0388

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The community is the city cell and the basic unit, and its construction of disaster prevention and mitigation plays an extremely important role in the construction of urban security system. Comprehensive estimation method of community disaster reduction capability was studied based on entropy weight-grey target model and GIS overlay analysis technique. Evaluation index system, including about 30 two levels indicators,was firstly built up from six aspects of disaster risk assessment ability, rescue and support capability, etc. After the construction of influence space, model standardization processing, grey target transform, and classification of approaching degree, the disaster reduction capacity was then grading assessed. Taking Suzhou new district as a case study area, the spatial distribution characteristics of community disaster reduction capability were obtained by using ArcMap10.2 software. The results show that the overall ability of community disaster reduction in the east of study area is better than that in the west. The capacity of disaster risk assessment and disaster management of all streets and communities in the study area are acceptable. The overall defense capability of the project is unevenly distributed. The conclusion can be inferred that community comprehensive disaster reduction capability is insufficient from the poor economic support ability, rescue and support capability and public cognitive ability. The demonstration community construction of disaster reduction should be shifted to the connotation construction of community's comprehensive disaster reduction capability.

The Gross Error Discrimination Method of ERS Point in Slipway Measurement Field

MENG Qingxu, ZHU Xiaojun, PENG Fei, WANG Zhong

2017, 0(12):  103-106,111.  doi:10.13474/j.cnki.11-2246.2017.0389

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In view of the influence of the gross error of the ERS point on the accuracy of the measurement field, this paper presents a robust method for judging the gross error of ERS point. In this method, the suspicious points are obtained by the initial screening of the Lai criteria, and then the faulty points are discriminated by the Romanovsky criterion, the anomaly points are determined and removed, and finally the SVD algorithm is used to calculate the station parameters. The results show that the method can accurately eliminate and improve the overall accuracy of the measurement field.

Application of Ground 3D Laser Scanning Technique in Substation Fine Measurement

PENG Hao, XU Jinghai, NI Shaoqiang

2017, 0(12):  107-111.  doi:10.13474/j.cnki.11-2246.2017.0390

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Transformer substation is an important electric power facility.Surveying and mapping is the foundation of three-dimensional modeling and visualization,operating maintenance,management and exception monitoring,but the structures are complex with structural heteromorphism.This paper adopts three-dimensional laser scanning technique to obtain point cloud data,making accurate measurement of transformer substation.It proposes a method based on the division of space region complexity (for example,dividing testing zone into uniform distribution region,close-packed array region,GIS region,transition region).Xinjiang Yazhong transformer substation is taken as an example to display the application of this method.At last,the three-dimensional modeling and visualization of transformer substation are realized.

3D Modeling of the Miao Residences Based on CityEngine CGA

LI Xinjuan, WANG Jiasheng

2017, 0(12):  112-116.  doi:10.13474/j.cnki.11-2246.2017.0391

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Minority residence is an important part of the Chinese national culture.However,the inheritance and development of traditional minority architecture show a trend of decline under the current national amalgamation background.So,it is of great significance to carry on the digital preservation of the minority nationality dwellings with the 3D modeling technology.The Miao dwelling architecture is ingenious and complicated because it has a unique structure of the stilted building.This characteristic brings difficulty to rules modeling.Therefore,this study took CityEngine as the modeling platform,and constructed the rules of the pillars of the first floor,the main house of the second floor and the Xieshan-style roof through intelligently combining the CGA functions of extrusion,splitting,translation,etc. Finally,the rules based 3D model of the Miao typical buildings were implemented.With these rules,the residential style can be dynamically changed,and ethnic village can be rapidly generated.The results show that the 3D modeling method of complex ethnic houses based on CGA rules is feasible,which provides a convenient way for the digital preservation of the minority residences.

Research on Architectural Design of the “Multi-plan Integration” Information Platform: A Case Study of Nanjing

SUN Yuting, WU Luewei, QIN Xiao

2017, 0(12):  117-121.  doi:10.13474/j.cnki.11-2246.2017.0392

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In recent years,"multi-plan integration" is an actively promoted reform taken by our party and the nation.It is an effective method to promote modernization of urban management system and governance capability.Information system is an important technical support for "multi-plan integration" work,department planning data sharing and cohesion of planning process.In today's world,smart city construction is in full swing and government reform measures such as "map world","internet plus government services" are vigorously propelled.In the above context,how to construct an efficient "multi-plan integration" information platform combining with existing smart city results is a question that requires comprehensive consideration.After analyzing the construction experience of typical cities in China,this paper takes Nanjing as an example and uses TOGAF to design the data architecture,business architecture,application architecture and technology architecture of "multi-plan integration" information system.

Application of 3D Streetscape Data in Block Street Environment Assessment of Megactity——Take Beijing as an Example

GUAN Li, DING Yanjie, CHEN Pinxiang, XIONG Wen, LIU Xuan, FENG Xuebing

2017, 0(12):  122-126.  doi:10.13474/j.cnki.11-2246.2017.0393

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This paper starts with the problem of the street environment of block unit. Based on making clear the acquisition mode and characteristics of 3D streetscape data,the paper designs the assessment model of regional block unit based on 3D streetscape data. The 3D streetscape data, with the aid of oblique photogrammetry surveying and mobile equipment,will greatly improve the efficiency and accuracy of urban regional assessment,and expand the assessment scope. Based on the latest urban regional assessment model, with the street environment assessment model of the current situation, this paper analyzes the street environment assessment of current situation in the typical area of Beijing. Through the street environment assessment of block unit, we find that in the megacity street environment assessment model of block unit based on 3D streetscape data has greatly help to improve the assessment efficiency and accuracy. At the same time, motor vehicle lane, green shade deficiency, bad railings and street lost situation are still very serious in Beijing, the street environment improvement of the block unit is still a heavy task. The research results will provide data support for urban fine management and urban design, and provide a solid foundation for the improvement of city image.

Construction and Application of Data Acquisition APP for Precision Poverty Alleviation in Guizhou

LIU Ji, SUN Junying, LI Qin, CAI Zhongliang

2017, 0(12):  127-130,137.  doi:10.13474/j.cnki.11-2246.2017.0394

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In order to achieve the timely acquisition of mass data of poverty,this paper developed an APP system by integrating GIS technology,GPS technology,network technology,database technology,and intelligent mobile terminal,which is easy to carry and perform.By virtue of the APP,we can timely acquire,update,store and track the poverty information.The efficiency of the project in Guizhou Province,land and resources cloud precision poverty alleviation map management system project construction has achieved good results,which verifies the feasibility and practicality of the system.

Invention and Practice of New High-speed Bilateral Observation Digital Level & Staff

LIU Yanchun, WANG Haiting, ZHAO Junsheng, MENG Qiang, LIU Yao, WU Xianghua

2017, 0(12):  131-137.  doi:10.13474/j.cnki.11-2246.2017.0395

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Leveling is always an important method to obtain precise elevation difference of ground points,but its slow measurement speed and low working efficiency are also difficult problems anound the world.In order to improve the speed and efficiency of leveling,the concept,structure,principle and method of a new high-speed bilateral observation digital level & staff are presented in this paper.Firstly,the unitized configuration design of level and staff is used so that the three-point interactive configuration in traditional leveling is changed into two-point interactive configuration to improve the station setting speed and terrain adaptability of level & staff.Secondly,the principle of dual measurement is invented in which the unidirectional and single system observation of the traditional leveling is changed into bilateral (double) and dual system observation to improve the accuracy and reliability of leveling.Furtherly,the orthogonal two-leg bracket and L type bubble level are designed and used to improve the station setting speed of the level & staff.The theoretical analysis and preliminary practice show that the speed and efficiency of leveling can be raised by more than one times by using the new high-speed bilateral observation digital level & staff which is the fastest,the most intelligent electronic leveling system in the world nowadays.The invention of the new high-speed bilateral observation digital level & staff,will have a tremendous and overturning impact on the global geodetic survey and engineering survey,and will open a new era of the popularity of electronic level in human society.

An Approach for the Internet Plus Innovation and Entrepreneurship Using Geospatial Information and Digital Technology Knowledge

MENG Xiaoliang, XU Chao, BIAN Fuling, CUI Xiaohui, ZHU Guobin

2017, 0(12):  138-141.  doi:10.13474/j.cnki.11-2246.2017.0396

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According to the high speed development of integrating "Internet plus" into traditional economies in China,it becomes the important task of how to cultivate college students with innovation and entrepreneurship talents' education target. This paper presents and analyzes the cases of using the professional knowledge of Spatial Information & Digital Technology to succeed in "Internet plus" innovation and entrepreneurship. It proposes the approach and procedures with the experiences of practical teaching,and verifies the application effect with the statistics of related college student competitions. The approach adapts to the cultivation modes and knowledge-point teaching of related Geomatics majors.

Application and Accuracy Analysis of Sirius UAV Aerial Photography System in Complex Topographic Survey

LI Tao

2017, 0(12):  146-148,152. 

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Application of the Sirius Non-GCPs UAV in River Regulation

LIU Jianliang, YANG Qi, YANG Jun

2017, 0(12):  149-152. 

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As to the problem that the river band complex terrain conditions and measurement of high precision requirement, the paper puts forward the method of Sirius UAV aerial mapping system for topographic mapping. According to this method, Sirius unmanned aerial system using its built-in 100Hz real-time dynamic RTK technology and high precision of inertial navigation system IMU, can solve the problem of photo matching in the image data, without layout control points as the case to obtain high precision, greatly improving the efficiency of aerial survey. At the same time, the earthwork calculation and flood analysis in the process of river regulation will become more accurate and intuitive, which provides accurate data support for the subsequent comprehensive river regulation work.