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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
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Journal DOI :
Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography
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Volume & Issues
Volume 30, Issue 6_2 - Dec 2012
Volume 30, Issue 6_1 - Dec 2012
Volume 30, Issue 5 - Oct 2012
Volume 30, Issue 4 - Aug 2012
Volume 30, Issue 3 - Jun 2012
Volume 30, Issue 2 - Apr 2012
Volume 30, Issue 1 - Feb 2012
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Finding Isolated Zones through Connectivity Relationship Analysis in Indoor Space
Lee, Seul-Ji ; Lee, Ji-Yeong ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 229~240
DOI : 10.7848/ksgpc.2012.30.3.229
In Korea, u-City has been constructed as IT-based new city with introduction of the ubiquitous concept. However, most currently provided u-services are just monitoring services based on the USN(Ubiquitous Sensor Network) technology, so spatial analysis is insufficient. Especially, buildings have been rapidly constructed and expanded in multi-levels, and people spend a lot of time in indoor space, so indoor spatial analysis is necessary. Therefore, connectivity relationship in indoor space is analyzed using the topological data model. Topological relationships could be redefined due to the dynamic changes of environment in indoor space, and changes could have an effect on analysis results. In this paper, the algorithms of finding isolated zones is developed by analyzing connectivity relationship between space objects in built-environments after changes of environment in indoor space due to specific situation such as fire. And the system that visualizes isolated zones as well as three-dimensional data structure of indoor space is developed to get the analysis result by using the analysis algorithms.
Area Changes in the Administrative Boundary Map of Korea by National Geodetic Reference Frames
Bae, Tae-Suk ; Kim, Jeong-Hee ; Yoon, Jong-Seong ; Jeong, Jae-Joon ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 241~247
DOI : 10.7848/ksgpc.2012.30.3.241
The national geodetic reference frame of Korea switched to the International Terrestrial Reference Frame (ITRF) in 2003. In order to study the land area changes, we calculated the entire land area of Korea using the administrative boundaries of census data provided by Statistics Korea. The standard transformation procedure by the National Geographic Information Institute (NGII) was followed. The Transverse Mercator (TM) projected coordinates were transformed into the GRS80-based world geodetic reference frame, and the ellipsoidal and the projected areas were calculated. The provinces that range over two projection origins were divided into two polygons and projected using appropriate origins. After the transformation, all boundaries were shifted in the northwestern direction, resulting in a decreased area of
(about 0.0013%) on the projected plane. Moving the boundaries into a high latitude area cancels out the effect of the enlarged ellipsoid. In addition, the rate of change shows that a higher-latitude province is more sensitive to the shift of the boundaries. The data by Statistics Korea is significantly different from those of the Ministry of Land, Transport and Maritime Affairs (MLTM), thus it is urgently recommended that the data are integrated and unified.
Development of Reference Epoch Adjustment Model for Correction of GPS Precise Point Positioning Results
Sung, Woo-Jin ; Yun, Hong-Sik ; Hwang, Jin-Sang ; Cho, Jae-Myoung ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 249~258
DOI : 10.7848/ksgpc.2012.30.3.249
In this study, the epoch adjustment model was developed to correct GPS precise point positioning result to be suitable for the current geodetic datum of Korea which is tied at past epoch statically. The model is based on the formula describing crustal movements, and the formula is composed of several parameters. To determine the parameters, the data gathered at 14 permanent GPS stations for 10 years, from 2000 to 2011, were processed using GIPSY-OASIS II. It was possible to determine the position of permanent GPS stations with an error range of 16mm and the position of check points with an error range of 12mm by appling the model to GPS precise point positioning result. It is considered that more precise model could be calculated by using GPS data of more permanent GPS stations.
Estimation of Carbon Dioxide Stocks in Forest Using Airborne LiDAR Data
Lee, Sang-Jin ; Choi, Yun-Soo ; Yoon, Ha-Su ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 259~268
DOI : 10.7848/ksgpc.2012.30.3.259
This paper aims to estimate the carbon dioxide stocks in forests using airborne LiDAR data with a density of approximate 4.4 points per meter square. To achieve this goal, a processing chain consisting of bare earth Digital Terrain Model(DTM) extraction and individual tree top detection has been developed. As results of this experiment, the reliable DTM with type-II errors of 3.32% and tree positions with overall accuracy of 66.26% were extracted in the study area. The total estimated carbon dioxide stocks in the study area using extracted 3-D forests structures well suited with the traditional method by field measurements upto 7.2% error level. This results showed that LiDAR technology is highly valuable for replacing the existing forest resources inventory.
Estimation of Individual Street Trees Using Simulated Airborne LIDAR Data
Cho, Du-Young ; Kim, Eui-Myoung ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 269~277
DOI : 10.7848/ksgpc.2012.30.3.269
Street trees are one of useful urban facilities that reduce carbon dioxide and provide green space in urban areas. They are usually managed by local government, and it is effective to use aerial LIDAR data in order to acquire information such as the location, height and crown width of street tree systematically. In this research, algorithm was proposed that improves the accuracy of extracting top points of street trees and separates the region of individual street trees from aerial LIDAR data. In order to verify the proposed algorithm, a simulated aerial LIDAR data that exactly knows the number, height and crown width of street trees was created. As for the procedure of data processing, filtering that separates ground and non-ground points from LIDAR data was first conducted in order to separate the region of individual street trees. An estimated non-street tree points were then removed from non-ground points, and the top points of street trees were estimated. Region of individual street trees was determined by using the intersecting point of straight line that connects top point and ground point of street tree. Through the experiment by using simulated data, it was possible to refine wrongly estimated points occurred by determining tree tops and to determine the positional information, height, crown width of street trees through the determination of region of street trees.
The Evaluation of Distance Accuracy and The Test Target Manufacturing of A Terrestrial Laser Scanner
Lee, In-Su ; Tcha, Dek-Kie ; Suh, Ho-Suhng ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 279~285
DOI : 10.7848/ksgpc.2012.30.3.279
Albeit the use of terrestrial 3D laser scanner (TLS) in the parts of landslide monitoring, cultural heritage documentation, civil engineering, urban engineering, etc. is increasing more and more, there is no international standardization regulation about the accuracy evaluation of the geometric element values, target, instrument calibration and test procedures, etc. Accordingly, this study deals with the manufacturing of TLS performance test target and the evaluation of TLS distance measurement and shows its suitability as the test target.
Implementation of Open Source SOLAP Decision-Making System for Livestock Epidemic Surveillance and Prevention
Kyung, Min-Ju ; Yom, Jae-Hong ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 287~294
DOI : 10.7848/ksgpc.2012.30.3.287
The spread of infectious diseases in the event of livestock is getting faster and the route of spread gets more varied. It is important for the responsible agency to detect early and establish a prevention and surveillance system. If the spread cannot be contained effectively, great damage and loss will be inevitable in terms of social, environment and economic aspects as well as the welfare of the farmers. At present in Korea, a web-based Infectious Livestock Diseases Statistics System (AIMS: Animal Infectious Disease Data Management System) has been already implemented for this purpose and the service is available to the general public. But this system does not provide geospatial information and does not provide support for decision making and does not provide multi-dimensional information. In this study, an open source-based SOLAP (Spatial On-Line Analytical Processing) technology is applied to enable many diverse forms of data analysis from many aspects to support decision making. The SOLAP system was designed to integrate geospatial information and the analysis of information has been largely divided into map-based analysis and table-based analysis.
An Accuracy Estimation of AEP Based on Geographic Characteristics and Atmospheric Variations in Northern East Region of Jeju Island
Ko, Jung-Woo ; Lee, Byung-Gul ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 295~303
DOI : 10.7848/ksgpc.2012.30.3.295
Clarify wind energy productivity depends on three factors: the wind probability density function(PDF), the turbine's power curve, and the air density. The wind PDF gives the probability that a variable will take on the wind speed value. Wind shear refers to the change in wind speed with height above ground. The wind speed tends to increase with the height above ground. also, Wind PDF refers to the change with height above ground. Wind analysts typically use the Weibull distribution to characterize the breadth of the distribution of wind speeds. The Weibull distribution has the two-parameter: the scale factor c and the shape factor k. We can use a linear least squares algorithm(or Ln-least method) and moment method to fit a Weibull distribution to measured wind speed data which data was located same site and different height. In this study, find that the scale factor is related to the average wind speed than the shape factor. and also different types of terrain are characterized by different the scale factor slop with height above ground. The gross turbine power output (before accounting for losses) was caculated the power curve whose corresponding air density is closest to the air density. and air desity was choose two way. one is the pressure of the International Standard Atmosphere up to an elevation, the other is the measured air pressure and temperature to calculate the air density. and then each power output was compared.
Building Boundary Reconstruction from Airborne Lidar Data by Adaptive Convex Hull Algorithm
Lee, Jeong-Ho ; Kim, Yong-Il ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 305~312
DOI : 10.7848/ksgpc.2012.30.3.305
This paper aims at improving the accuracy and computational efficiency in reconstructing building boundaries from airborne Lidar points. We proposed an adaptive convex hull algorithm, which is a modified version of local convex hull algorithm in three ways. The candidate points for boundary are first selected to improve efficiency depending on their local density. Second, a searching-space is adjusted adaptively, based on raw data structure, to extract boundary points more robustly. Third, distance between two points and their IDs are utilized in detecting the seed points of inner boundary to distinguish between inner yards and inner holes due to errors or occlusions. The practicability of the approach were evaluated on two urban areas where various buildings exist. The proposed method showed less shape-dissimilarity(8.5%) and proved to be two times more efficient than the other method.
Landslide Risk Assessment in Inje Using Logistic Regression Model
Lee, Hwan-Gil ; Kim, Gi-Hong ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 313~321
DOI : 10.7848/ksgpc.2012.30.3.313
Korea has been continuously affected by landslides, as 70% of the land is covered by mountains and most of annual rainfall concentrates between June and September. Recently, abrupt climate change affects the increase of landslide occurrence. Gangwon region is especially suffered by landslide damages, because the most of the part is mountainous, steep, and having shallow soil. In this study, a landslide risk assessment model was developed by applying logistic regression to the various data of Duksan-ri, Inje-eup, Inje-gun, Gangwon-do, which has suffered massive landslide triggered by heavy rain in July 2006. The information collected from field investigation and aerial photos right after the landslide of study area were stored in GIS DB for analysis. Slope gradient entered in two ways-as categorical variable and as linear variable. Error matrix for each case was made, and developed model showed the classification accuracy of 81.4% and 81.9%, respectively.
Georegistration of Airborne LiDAR Data Using a Digital Topographic Map
Han, Dong-Yeob ; Yu, Ki-Yun ; Kim, Yong-Il ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 3, 2012, Pages 323~332
DOI : 10.7848/ksgpc.2012.30.3.323
An airborne LiDAR system performs several observations on flight routes to collect data of targeted regions accompanying with discrepancies between the collected data strips of adjacent routes. This paper aims to present an automatic error correction technique using modified ICP as a way to remove relative errors from the observed data of strip data between flight routes and to make absolute correction to the control data. A control point data from the existing digital topographic map were created and the modified ICP algorithm was applied to perform the absolute automated correction on the relatively adjusted airborne LiDAR data. Through such process we were able to improve the absolute accuracy between strips within the average point distance of airborne LiDAR data and verified the possibility of automation in the geometric corrections using a large scale digital map.