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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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Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography
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Volume & Issues
Volume 33, Issue 6 - Dec 2015
Volume 33, Issue 5 - Oct 2015
Volume 33, Issue 4 - Aug 2015
Volume 33, Issue 3 - Jun 2015
Volume 33, Issue 2 - Apr 2015
Volume 33, Issue 1 - Feb 2015
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Methodology of Extraction of Crime Vulnerable Areas Through Grid-based Analysis
Park, Jin Yi ; Kim, Eui Myoung ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 221~229
DOI : 10.7848/ksgpc.2015.33.4.221
The urban crimes that threat individual`s safety are parts of the serious social problems. However. the information of crime in Korea has only been provided by forms of hot spots around place of crime, or forms of crime statistics without positional information. Those could not provide enough information to users in identifying the vulnerable areas for substantive crimes. Therefore, this study suggested a methodology of extraction in criminal vulnerable areas by using the spatial information, the statistical information and the public sector information. The crime vulnerable areas were extracted through the grid-based spatial analysis and the overlapping analysis from each of the information. In fact, the extracted areas were able to provide detailed vulnerability information than the traditional hot spot-based crime information. Following the study, the extracted results in crime vulnerable areas have displayed highly coincide with Korea safety map, provided by national disaster management institute, which regards to be able to provide crime risk rating in terms of administrative business in future.
A Comparative Analysis of 3D Circle Fitting Algorithms for Determination of VLBI Antenna Reference Point
Hyuk Gil, Kim ; Jin Sang, Hwang ; Hong Sik, Yun ; Tae Jun, Jeong ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 231~244
DOI : 10.7848/ksgpc.2015.33.4.231
The accuracy of reference point of VLBI antenna is mandatory to perform collocation of different space geodetic techniques. In this study, we evaluated the optimal methods for the 3D circle fitting to enhance the accuracy of the reference point of VLBI antenna. Two kinds of methodologies for the orthonormal coordinate system with translation of planar observation point and the unitary coordinate transforamation were suggested and their fitting accuracies were evaluated where the orthogonal distance was calculated by residual between observation point and fitting model and the recursive calculation was performed to improve the accuracy of 3D circle fitting. Finally, we found that the methodology for the unitary coordinate transformation is highly appropriate to determine the optimal equation for azimuth-axis and elevation-axis of VLBI antenna. Therefore, the reference point of VLBI antenna with high accuracy can be determined by the intersection of the above two axises (azimuth-axis and elevation-axis). This result is expected to be utilized for a variety of researches for connection between VLBI observation results and the national control point.
Standardization of Data Quality and Management Regulation for Korean CORS
Jin Sang, Hwang ; Hyuk Gil, Kim ; Hong Sik, Yun ; Jae Myoung, Cho ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 245~258
DOI : 10.7848/ksgpc.2015.33.4.245
This study aimed to conduct the standardization of various specifications for determining the proper construction and operation of domestic CORS (Continuously Operating Reference Station). To achieve the plan, the standardization was proposed for various compositions of CORS, such as the data quality, structure, and equipment. Also, we have studied the method for empirically determining the reference values of QC (Quality Check) of CORS data. Those large amounts of samples for each QC index values were built to approach in empirical and statistical methods. In fact, those general and recommended reference values were determined from analyzing the sample distributions, using the empirical and statistical approaches. The result is expected to be utilized for a variety of research fields for standardization, accurate data acquisitions and service operations for the domestic CORS
Urban Change Detection Between Heterogeneous Images Using the Edge Information
Jae Hong, Oh ; Chang No, Lee ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 259~266
DOI : 10.7848/ksgpc.2015.33.4.259
Change detection using the heterogeneous data such as aerial images, aerial LiDAR (Light Detection And Ranging), and satellite images needs to be developed to efficiently monitor the complicating land use change. We approached this problem not relying on the intensity value of the geospatial image, but by using RECC(Relative Edge Cross Correlation) which is based on the edge information over the urban and suburban area. The experiment was carried out for the aerial LiDAR data with high-resolution Kompsat-2 and −3 images. We derived the optimal window size and threshold value for RECC-based change detection, and then we observed the overall change detection accuracy of 80% by comparing the results to the manually acquired reference data.
Automatic Extraction of Initial Training Data Using National Land Cover Map and Unsupervised Classification and Updating Land Cover Map
Soungki, Lee ; Seok Keun, Choi ; Sintaek, Noh ; Noyeol, Lim ; Juweon, Choi ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 267~275
DOI : 10.7848/ksgpc.2015.33.4.267
Those land cover maps have widely been used in various fields, such as environmental studies, military strategies as well as in decision-makings. This study proposes a method to extract training data, automatically and classify the cover using ingle satellite images and national land cover maps, provided by the Ministry of Environment. For this purpose, as the initial training data, those three were used; the unsupervised classification, the ISODATA, and the existing land cover maps. The class was classified and named automatically using the class information in the existing land cover maps to overcome the difficulty in selecting classification by each class and in naming class by the unsupervised classification; so as achieve difficulty in selecting the training data in supervised classification. The extracted initial training data were utilized as the training data of MLC for the land cover classification of target satellite images, which increase the accuracy of unsupervised classification. Finally, the land cover maps could be extracted from updated training data that has been applied by an iterative method. Also, in order to reduce salt and pepper occurring in the pixel classification method, the MRF was applied in each repeated phase to enhance the accuracy of classification. It was verified quantitatively and visually that the proposed method could effectively generate the land cover maps.
Urbanization Analysis of Major City in North Korea Using Landsat Imagery
Jun Hyun, Kim ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 277~286
DOI : 10.7848/ksgpc.2015.33.4.277
This study calculated the NDVI and the NDBI of the land-use change in major cities at North Korea through Landsat imagery, and analyzed the spatiality(LISA) with difference discretization of the UI index. As a result of the research, we could identify that the degree of urbanization has been increased in both Gaesung and Pyeongyang, but showed opposite spatial tendency to each other. The urban index of Pyeongyang, a nucleus district of North Korea, has been progressed quicker than Gaesung since 1994, while the urbanization development was being progressed also in general, as it expanded from the existing downtown area. On the other hand, the urbanization took place intensively at one region in Gaesung by developing the vegetation area that forest transfers into a built-up area, which has been judged from the great dynamic range of NDVI values. In conclusion, it is possible to extract necessary data for understanding the degree of urbanization and spatial characteristics of North Korea through the UI and the LISA analysis that are considered to propose useful methodology in investigating changes in North Korean cities and political levearage.
A Study on Predictive Traffic Information Using Cloud Route Search
Jun Hyun, Kim ; Kee Wook, Kwon ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 287~296
DOI : 10.7848/ksgpc.2015.33.4.287
Recent navigation systems provide quick guide services, based on processing real-time traffic information and past traffic information by applying predictable pattern for traffic information. However, the current pattern for traffic information predicts traffic information by processing past information that it presents an inaccuracy problem in particular circumstances(accidents and weather). So, this study presented a more precise predictive traffic information system than historical traffic data first by analyzing route search data which the drivers ask in real time for the quickest way then by grasping traffic congestion levels of the route in which future drivers are supposed to locate. First results of this study, the congested route from Yang Jae to Mapo, the analysis result shows that the accuracy of the weighted value of speed of existing commonly congested road registered an error rate of 3km/h to 18km/h, however, after applying the real predictive traffic information of this study the error rate registered only 1km/h to 5km/h. Second, in terms of quality of route as compared to the existing route which allowed for an earlier arrival to the destination up to a maximum of 9 minutes and an average of up to 3 minutes that the reliability of predictable results has been secured. Third, new method allows for the prediction of congested levels and deduces results of route searches that avoid possibly congested routes and to reflect accurate real-time data in comparison with existing route searches. Therefore, this study enabled not only the predictable gathering of information regarding traffic density through route searches, but it also made real-time quick route searches based on this mechanism that convinced that this new method will contribute to diffusing future traffic flow.
Unsupervised Change Detection for Very High-spatial Resolution Satellite Imagery by Using Object-based IR-MAD Algorithm
Jaewan, Choi ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 297~304
DOI : 10.7848/ksgpc.2015.33.4.297
The change detection algorithms, based on remotely sensed satellite imagery, can be applied to various applications, such as the hazard/disaster analysis and the land monitoring. However, unchanged areas sometimes detected as the changed areas due to various errors in relief displacements and noise pixels, included in the original multi-temporal dataset at the application of unsupervised change detection algorithm. In this research, the object-based changed detection for the high-spatial resolution satellite images is applied by using the IR-MAD (Iteratively Reweighted- Multivariate Alteration Detection), which is one of those representative change detection algorithms. In additionally, we tried to increase the accuracy of change detection results with using the additional information, based on the cross-sharpening method. In the experiment, we used the KOMPSAT-2 satellite sensor, and resulted in the object-based IR-MAD algorithm, representing higher changed detection accuracy than that by the pixel-based IR-MAD. Also, the object-based IR-MAD, focused on cross-sharpened images, increased in accuracy of changed detection, compared to the original object-based IR-MAD. Through these experiments, we could conclude that the land monitoring and the change detection with the high-spatial-resolution satellite imagery can be accomplished efficiency by using the object-based IR-MAD algorithm.
Remote Sensing of GPS Precipitable Water Vapor during 2014 Heavy Snowfall in Gangwon Province
JinYong, Nam ; DongSeob, Song ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 305~316
DOI : 10.7848/ksgpc.2015.33.4.305
The GPS signal delays in troposphere, which are along the signal path between a transmitting satellite and GPS permanent station, can be used to retrieve the precipitable water vapor. The GPS remote sensing technique of atmospheric water vapor is capable of monitoring typhoon and detecting long term water vapor for tracking of earth’s climate change. In this study, we analyzed GPS precipitable water vapor variations during the heavy snowstorm event occurred in the Yeongdong area, 2014. The results show that the snowfall event were occurring after the GPS precipitable water vapor were increased, the maximum fresh snow depth was recorded after the maximum GPS precipitable water vapor was generated, in Kangneug and Wuljin, respectively. Also, we analyzed that the closely correlation among the GPS precipitable water vapor, the K-index and total index which was acquired by the upper air observation system during this snowstorm event was revealed.
Comparative Analysis of GNSS Precipitable Water Vapor and Meteorological Factors
Jae Sup, Kim ; Tae-Suk, Bae ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 317~324
DOI : 10.7848/ksgpc.2015.33.4.317
GNSS was firstly proposed for application in weather forecasting in the mid-1980s. It has continued to demonstrate the practical uses in GNSS meteorology, and other relevant researches are currently being conducted. Precipitable Water Vapor (PWV), calculated based on the GNSS signal delays due to the troposphere of the Earth, represents the amount of the water vapor in the atmosphere, and it is therefore widely used in the analysis of various weather phenomena such as monitoring of weather conditions and climate change detection. In this study we calculated the PWV through the meteorological information from an Automatic Weather Station (AWS) as well as GNSS data processing of a Continuously Operating Reference Station (CORS) in order to analyze the heavy snowfall of the Ulsan area in early 2014. Song’s model was adopted for the weighted mean temperature model (T
), which is the most important parameter in the calculation of PWV. The study period is a total of 56 days (February 2013 and 2014). The average PWV of February 2014 was determined to be 11.29 mm, which is 11.34% lower than that of the heavy snowfall period. The average PWV of February 2013 was determined to be 10.34 mm, which is 8.41% lower than that of not the heavy snowfall period. In addition, certain meteorological factors obtained from AWS were compared as well, resulting in a very low correlation of 0.29 with the saturated vapor pressure calculated using the empirical formula of Magnus. The behavioral pattern of PWV has a tendency to change depending on the precipitation type, specifically, snow or rain. It was identified that the PWV showed a sudden increase and a subsequent rapid drop about 6.5 hours before precipitation. It can be concluded that the pattern analysis of GNSS PWV is an effective method to analyze the precursor phenomenon of precipitation.
A Study on the Method for Three-dimensional Geo-positioning Using Heterogeneous Satellite Stereo Images
Jaehoon, Jeong ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 4, 2015, Pages 325~331
DOI : 10.7848/ksgpc.2015.33.4.325
This paper suggests an intersection method to improve the accuracy of three-dimensional position from heterogeneous satellite stereo images, and addresses validation of the suggested method following the experimental results. The three-dimensional position is achieved by determining an intersection point of two rays that have been precisely adjusted through the sensor orientation. In case of conventional homogeneous satellite stereo images, the intersection point is generally determined as a mid-point of the shortest line that links two rays in at least square fashion. In this paper, a refined method, which determines the intersection point upon the ray adjusted at the higher resolution image, was used to improve the positioning accuracy of heterogeneous satellite images. Those heterogeneous satellite stereo pairs were constituted using two KOMPSAT-2 and QuickBird images of covering the same area. Also, the positioning results were visually compared in between the conventional intersection and the refined intersection, while the quantitative analysis was performed. The results demonstrated that the potential of refined intersection improved the positioning accuracy of heterogeneous satellite stereo pairs; especially, with a weak geometry of the heterogeneous satellite stereo, the greater effects on the accuracy improvement.