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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
Journal Basic Information
Journal DOI :
Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography
Editor in Chief :
Volume & Issues
Volume 31, Issue 6_2 - Dec 2013
Volume 31, Issue 6_1 - Dec 2013
Volume 31, Issue 5 - Oct 2013
Volume 31, Issue 4 - Aug 2013
Volume 31, Issue 3 - Jun 2013
Volume 31, Issue 2 - Apr 2013
Volume 31, Issue 1 - Feb 2013
Selecting the target year
Calculation on Pure Sediment Volume at Namgang Dam Basin by Echo-sounder based on NTRIP Service
Lee, Suk-Bae ; Kim, Ki-Heung ; Park, Jae-Hyun ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 31, issue 4, 2013, Pages 251~257
DOI : 10.7848/ksgpc.2013.31.4.251
Bathymetry sounding or water depth measurement is becoming more and more sophisticated with the increasing demand in accuracy, resolution and coverage in the recent years. Single beam echo sounding is still utilized to gather single line bathymetric profile in many surveys as ever, although there is an increasing demand for multi-beam echo sounding. Single beam echo sounder system acquires single line profiles of water depth as the vessel travel along the survey line. In this study, we performed single beam echo sounding with GNSS receiver for hydrographic survey at Namgang dam basin to calculate pure sediment. Unlike traditional research, we used not field reference station but NTRIP service of the reference station of DGNSS(Differential Global Navigation Satellite System) Central Office in this GNSS survey. The calculation results show that scouring volume is
, sediment volume is
and so pure sediment volume is
at Namgang dam basin. And the availability of the NTRIP service of the DGNSS Central Office for echo sounding in land area has been confirmed in this study.
k-Interest Places Search Algorithm for Location Search Map Service
Cho, Sunghwan ; Lee, Gyoungju ; Yu, Kiyun ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 31, issue 4, 2013, Pages 259~267
DOI : 10.7848/ksgpc.2013.31.4.259
GIS-based web map service is all the more accessible to the public. Among others, location query services are most frequently utilized, which are currently restricted to only one keyword search. Although there increases the demand for the service for querying multiple keywords corresponding to sequential activities(banking, having lunch, watching movie, and other activities) in various locations POI, such service is yet to be provided. The objective of the paper is to develop the k-IPS algorithm for quickly and accurately querying multiple POIs that internet users input and locating the search outcomes on a web map. The algorithm is developed by utilizing hierarchical tree structure of
-tree indexing technique to produce overlapped geometric regions. By using recursive
-tree index based spatial join process, the performance of the current spatial join operation was improved. The performance of the algorithm is tested by applying 2, 3, and 4 multiple POIs for spatial query selected from 159 keyword set. About 90% of the test outcomes are produced within 0.1 second. The algorithm proposed in this paper is expected to be utilized for providing a variety of location-based query services, of which demand increases to conveniently support for citizens' daily activities.
A Study on Automatic Threshold Selection in Line Simplification for Pedestrian Road Network Using Road Attribute Data
Park, Bumsub ; Yang, Sungchul ; Yu, Kiyun ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 31, issue 4, 2013, Pages 269~275
DOI : 10.7848/ksgpc.2013.31.4.269
Recently, importance of pedestrian road network is getting emphasized as it is possible to provide mobile device users with both route guidance services and surrounding spatial information. However, it costs a tremendous amount of budget for generating and renovating pedestrian road network nationally, which hinder further advances of these services. Hence, algorithms extracting pedestrian road network automatically based on raster data are needed. On the other hand, road dataset generated from raster data usually has unnecessary vertices which lead to maintenance disutility such as excessive turns and increase in data memory. Therefore, this study proposed a method of selecting a proper threshold automatically for separate road entity using not only Douglas-Peucker algorithm but also road attribute data of digital map in order to remove redundant vertices, which maximizes line simplification efficiency and minimizes distortion of shape of roads simultaneously. As a result of the test, proposed method was suitable for automatic line simplification in terms of reduction ratio of vertices and accuracy of position.
Accuracy Evaluation of Internet RTK GPS by Satellite Signal Reception Environment
Kim, Min Gyu ; Park, Joon Kyu ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 31, issue 4, 2013, Pages 277~283
DOI : 10.7848/ksgpc.2013.31.4.277
GPS RTK surveying has an issue that the positioning error increases as the base line distance between the reference station and rover station increases. However, nowadays, an accuracy assessment that can handle such issue is surely required because of the modernization of GLONASS, Galileo project, and other improvements of satellite receiving conditions. Therefore, in this research, we compared and analyzed data sets collected with the CORS network, placed at NGII and NDGPS, using Internet RTK surveying in different satellite receiving conditions. As a result, there was a negative effect on the positioning accuracy as the base line distance increases. Furthermore, we could collect quantitative data of the accuracy of RTK surveying. When national-wide GNSS system is fully established, this result will contribute the growth of various GNSS industries including survey industries and land survey industries.
Road network data matching using the network division technique
Huh, Yong ; Son, Whamin ; Lee, Jeabin ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 31, issue 4, 2013, Pages 285~292
DOI : 10.7848/ksgpc.2013.31.4.285
This study proposes a network matching method based on a network division technique. The proposed method generates polygons surrounded by links of the original network dataset, and detects corresponding polygon group pairs using a intersection-based graph clustering. Then corresponding sub-network pairs are obtained from the polygon group pairs. To perform the geometric correction between them, the Iterative Closest Points algorithm is applied to the nodes of each corresponding sub-networks pair. Finally, Hausdorff distance analysis is applied to find link pairs of networks. To assess the feasibility of the algorithm, we apply it to the networks from the KTDB center and commercial CNS company. In the experiments, several Hausdorff distance thresholds from 3m to 18m with 3m intervals are tested and, finally, we can get the F-measure of 0.99 when using the threshold of 15m.
Automatic Recognition of Direction Information in Road Sign Image Using OpenCV
Kim, Gihong ; Chong, Kyusoo ; Youn, Junhee ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 31, issue 4, 2013, Pages 293~300
DOI : 10.7848/ksgpc.2013.31.4.293
Road signs are important infrastructures for safe and smooth traffic by providing useful information to drivers. It is necessary to establish road sign DB for managing road signs systematically. To provide such DB, manually detection and recognition from imagery can be done. However, it is time and cost consuming. In this study, we proposed algorithms for automatic recognition of direction information in road sign image. Also we developed algorithm code using OpenCV library, and applied it to road sign image. To automatically detect and recognize direction information, we developed program which is composed of various modules such as image enhancement, image binarization, arrow region extraction, interesting point extraction, and template image matching. As a result, we can confirm the possibility of automatic recognition of direction information in road sign image.
Multi-core-based Parallel Query of 3D Point Cloud Indexed in Octree
Han, Soohee ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 31, issue 4, 2013, Pages 301~310
DOI : 10.7848/ksgpc.2013.31.4.301
The aim of the present study is to enhance query speed of large 3D point cloud indexed in octree by parallel query using multi-cores. Especially, it is focused on developing methods of accessing multiple leaf nodes in octree concurrently to query points residing within a radius from a given coordinates. To the end, two parallel query methods are suggested using different strategies to distribute query overheads to each core: one using automatic division of 'for routines' in codes controlled by OpenMP and the other considering spatial division. Approximately 18 million 3D points gathered by a terrestrial laser scanner are indexed in octree and tested in a system with a 8-core CPU to evaluate the performances of a non-parallel and the two parallel methods. In results, the performances of the two parallel methods exceeded non-parallel one by several times and the two parallel rivals showed competing aspects confronting various query radii. Parallel query is expected to be accelerated by anticipated improvements of distribution strategies of query overhead to each core.
A Terrain Data Acquisition for Slope Safety Inspection by Using LiDAR
Lee, Jong Chool ; Kim, Hee Gyoo ; Roh, Tae Ho ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 31, issue 4, 2013, Pages 311~319
DOI : 10.7848/ksgpc.2013.31.4.311
As heavy rains occur more frequently due to the recent climate change, slope collapses are increasing, and damage to human life and properties is accordingly increasing every year. The most proper method to take preventive measures against slope collapses is to remove the cause after understanding the cause of slope collapse in advance, and for such, slope safety inspection is implemented for preventive purposes, to investigate the cause, and as a measure for restoration. Thus, this Research was able to reach the following conclusion after utilizing LiDAR, which obtains detailed topographic information in a short period of time with point cloud data on slopes subject to safety inspection. First, as a result of analyzing the errors after installing a check point in the subject area, the RMSE of the horizontal location error appeared to be
and the RMSE of the vertical location error appeared to be
, which shows a practically satisfactory result. Second, the economic feasibility was outstanding and obtaining accurate topographic information was available. Third, an area once scanned allowed to accurately obtain an unprescribed cross-sectional diagram in a short period of time, thus, appeared to be convenient for experts to detect dangerous sections.
Stability Assessment of FKP System by NGII using Long-term Analysis of NTRIP Correction Signal
Kim, Min-Ho ; Bae, Tae-Suk ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 31, issue 4, 2013, Pages 321~329
DOI : 10.7848/ksgpc.2013.31.4.321
Despite the advantage of unlimited access, there are insufficient studies for the accuracy and stability of FKP that blocks the spread of the system for various applications. Therefore, we performed a long-term analysis from continuous real-time positioning, and investigated the error characteristics dependent on the size and the surrounding environment. The FKP shows significant changes in the positioning accuracy at different times of day, where the accuracy during daytime is worse than that of nighttime. In addition, the size and deviation of FKP correction may change with the ionospheric conditions, and high correlation between ambiguity resolution rate and the deviation of correction was observed. The receivers continuously request the correction information in order to cope with sudden variability of ionosphere. On the other hand, the correction information was not received up to an hour in case of stable ionospheric condition. It is noteworthy that the outliers of FKP are clustered in their position with some biases. Since several meters of errors can be occurred for kinematic positioning with FKP, therefore, it is necessary to make appropriate preparation for real-time applications.
A Study on the Automatic Detection of Railroad Power Lines Using LiDAR Data and RANSAC Algorithm
Jeon, Wang Gyu ; Choi, Byoung Gil ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 31, issue 4, 2013, Pages 331~339
DOI : 10.7848/ksgpc.2013.31.4.331
LiDAR has been one of the widely used and important technologies for 3D modeling of ground surface and objects because of its ability to provide dense and accurate range measurement. The objective of this research is to develop a method for automatic detection and modeling of railroad power lines using high density LiDAR data and RANSAC algorithms. For detecting railroad power lines, multi-echoes properties of laser data and shape knowledge of railroad power lines were employed. Cuboid analysis for detecting seed line segments, tracking lines, connecting and labeling are the main processes. For modeling railroad power lines, iterative RANSAC and least square adjustment were carried out to estimate the lines parameters. The validation of the result is very challenging due to the difficulties in determining the actual references on the ground surface. Standard deviations of 8cm and 5cm for x-y and z coordinates, respectively are satisfactory outcomes. In case of completeness, the result of visual inspection shows that all the lines are detected and modeled well as compare with the original point clouds. The overall processes are fully automated and the methods manage any state of railroad wires efficiently.