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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 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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Automatic 3D Object Digitizing and Its Accuracy Using Point Cloud Data
Yoo, Eun-Jin ; Yun, Seong-Goo ; Lee, Dong-Cheon ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 1~10
DOI : 10.7848/ksgpc.2012.30.1.001
Recent spatial information technology has brought innovative improvement in both efficiency and accuracy. Especially, airborne LiDAR system(ALS) is one of the practical sensors to obtain 3D spatial information. Constructing reliable 3D spatial data infrastructure is world wide issue and most of the significant tasks involved with modeling manmade objects. This study aims to create a test data set for developing automatic building modeling methods by simulating point cloud data. The data simulates various roof types including gable, pyramid, dome, and combined polyhedron shapes. In this study, a robust bottom-up method to segment surface patches was proposed for generating building models automatically by determining model key points of the objects. The results show that building roofs composed of the segmented patches could be modeled by appropriate mathematical functions and the model key points. Thus, 3D digitizing man made objects could be automated for digital mapping purpose.
A Method for Extracting Vehicle Speed Using Aerial Images
Hwang, Jung-Rae ; Kang, Hye-Young ; Choi, Hyun-Sang ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 11~19
DOI : 10.7848/ksgpc.2012.30.1.011
Due to existing infrastructure to collect traffic information was constructed to expressway and national highway, we cannot precisely know traffic situation for their surrounding area. Therefore, it is difficult to provide reliable traffic information to users using navigation and smartphone. In this research, we collected aerial images by using unmanned airship capable of wide-area monitoring and proposed a method extracting vehicle speed from the collected data. And, we performed experiments to verify the accuracy of extracted vehicle speed. Our method proposed in this research can be used to extract a new approach of traffic information according to increased demand of traffic monitoring. We expect that our method will become a new research trend in traffic information application.
The Suggestion of the Image Registration Using Terrain Relief Correction Based on RFM
Kim, Hyun-Suk ; Kim, Moon-Gyu ; Seo, Doo-Chun ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 21~30
DOI : 10.7848/ksgpc.2012.30.1.021
When two bands have different look angle in a space-borne camera system, the registration between two bands is required. The registration cannot be modeled with constant parameters because of dynamic of platform and parallax effect. The parallax effect is caused by terrain relief, hence it causes local distortion between two bands. Therefore, the terrain relief correction in order to reduce the parallax effect is required for better registration result, especially for high resolution image data. Such terrain relief correction also can be applied to image data acquired from multiple detectors with different look angle within a band, which is a one of commonly used configuration for a wider swath in space-borne camera system, in order to reduce the distortion between detectors. The RFM is a popular abstract model in remote sensing field, which gives us the relationship between the image plane and geodetic coordinate system. Therefore, we propose a terrain relief correction method based on the RFM. The experiment showed very promising result.
Calibration of a UAV Based Low Altitude Multi-sensor Photogrammetric System
Lee, Ji-Hun ; Choi, Kyoung-Ah ; Lee, Im-Pyeong ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 31~38
DOI : 10.7848/ksgpc.2012.30.1.031
The geo-referencing accuracy of the images acquired by a UAV based multi-sensor system is affected by the accuracy of the mounting parameters involving the relationship between a camera and a GPS/INS system as well as the performance of a GPS/INS system. Therefore, the estimation of the accurate mounting parameters of a multi-sensor system is important. Currently, we are developing a low altitude multi-sensor system based on a UAV, which can monitor target areas in real time for rapid responses for emergency situations such as natural disasters and accidents. In this study, we suggest a system calibration method for the estimation of the mounting parameters of a multi-sensor system like our system. We also generate simulation data with the sensor specifications of our system, and derive an effective flight configuration and the number of ground control points for accurate and efficient system calibration by applying the proposed method to the simulated data. The experimental results indicate that the proposed method can estimate accurate mounting parameters using over five ground control points and flight configuration composed of six strips. In the near future, we plan to estimate mounting parameters of our system using the proposed method and evaluate the geo-referencing accuracy of the acquired sensory data.
Comprehensive Comparisons among LIDAR Fitering Algorithms for the Classification of Ground and Non-ground Points
Kim, Eui-Myoung ; Cho, Du-Young ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 39~48
DOI : 10.7848/ksgpc.2012.30.1.039
Filtering process that separates ground and non-ground points from LIDAR data is important in order to create the digital elevation model (DEM) or extract objects on the ground. The purpose of this research is to select the most effective filtering algorithm through qualitative and quantitative analysis for the existing filtering method used to extract ground points from LIDAR data. For this, four filtering methods including Adaptive TIN(ATIN), Perspective Center-based filtering method(PC), Elevation Threshold with Expand Window(ETEW) and Progressive Morphology(PM) were applied to mountain area, urban area and the area where building and mountains exist together. Then the characteristics for each method were analyzed. For the qualitative comparison of four filtering methods used for the research, visual method was applied after creating shaded relief image. For the quantitative comparison, an absolute comparison was conducted by using control points observed by GPS and a relative comparison was conducted by the digital elevation model of the National Geographic Information Institute. Through the filtering experiment of the LIDAR data, the Adaptive TIN algorithm extracted the ground points in mountain area and urban area most effectively. In the area where buildings and mountains coexist, progressive morphology algorithm generated the best result. In addition, as a result of qualitative and quantitative comparisons, the applicable filtering algorithm regardless of topographic characteristics appeared to be ATIN algorithm.
Extraction of Building Boundary on Aerial Image Using Segmentation and Overlaying Algorithm
Kim, Yong-Min ; Chang, An-Jin ; Kim, Yong-Il ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 49~58
DOI : 10.7848/ksgpc.2012.30.1.049
Buildings become complex and diverse with time. It is difficult to extract individual buildings using only an optical image, because they have similar spectral characteristics to objects such as vegetation and roads. In this study, we propose a method to extract building area and boundary through integrating airborne Light Detection and Ranging(LiDAR) data and aerial images. Firstly, a binary edge map was generated using Edison edge detector after applying Adaptive dynamic range linear stretching radiometric enhancement algorithm to the aerial image. Secondly, building objects on airborne LiDAR data were extracted from normalized Digital Surface Model and aerial image. Then, a temporary building areas were extracted by overlaying the binary edge map and building objects extracted from LiDAR data. Finally, some building boundaries were additionally refined considering positional accuracy between LiDAR data and aerial image. The proposed method was applied to two experimental sites for validation. Through error matrix, F-measure, Jaccard coefficient, Yule coefficient, and Overall accuracy were calculated, and the values had a higher accuracy than 0.85.
Automatic Detection of the Updating Object by Areal Feature Matching Based on Shape Similarity
Kim, Ji-Young ; Yu, Ki-Yun ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 59~65
DOI : 10.7848/ksgpc.2012.30.1.059
In this paper, we proposed a method for automatic detection of a updating object from spatial data sets of different scale and updating cycle by using areal feature matching based on shape similarity. For this, we defined a updating object by analysing matching relationships between two different spatial data sets. Next, we firstly eliminated systematic errors in different scale by using affine transformation. Secondly, if any object is overlaid with several areal features of other data sets, we changed several areal features into a single areal feature. Finally, we detected the updating objects by applying areal feature matching based on shape similarity into the changed spatial data sets. After applying the proposed method into digital topographic map and a base map of Korean Address Information System in South Korea, we confirmed that F-measure is highly 0.958 in a statistical evaluation and that significant updating objects are detected from a visual evaluation.
Investigation of Coastal Erosion Status in Geojin Port Area
Kim, In-Ho ; Song, Dong-Seob ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 67~73
DOI : 10.7848/ksgpc.2012.30.1.067
Coastal erosion and its impact on human activities as well as the economic damage and environmental conservation of coastal area is one of major concern in the national policies. In this study, we conducted physical investigations to evaluate effects of erosion in the Geojin beach, which is located nearby the Geojin Port, for a detecting of shoreline change and beach cross-sectional area. The results showed that significant coastal erosion of the Geojin beach has occurred by the complex resources of natural factor, such as rising sea level, storm surges, high wave, and man-made construction. Especially, due to the sand supplement from Jasan river, the section which is nearby the estuary of Jasan river is maintained as a stable beach, whereas beach erosion of the other site in GW04 section has been increased indeed. Therefore, we suggest that it is need to continuous monitoring using DGPS and various surveying techniques to prevent beach erosion onto the GW04 section.
Image Fusion of High Resolution SAR and Optical Image Using High Frequency Information
Byun, Young-Gi ; Chae, Tae-Byeong ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 75~86
DOI : 10.7848/ksgpc.2012.30.1.075
Synthetic Aperture Radar(SAR) imaging system is independent of solar illumination and weather conditions; however, SAR image is difficult to interpret as compared with optical images. It has been increased interest in multi-sensor fusion technique which can improve the interpretability of
images by fusing the spectral information from multispectral(MS) image. In this paper, a multi-sensor fusion method based on high-frequency extraction process using Fast Fourier Transform(FFT) and outlier elimination process is proposed, which maintain the spectral content of the original MS image while retaining the spatial detail of the high-resolution SAR image. We used TerraSAR-X which is constructed on the same X-band SAR system as KOMPSAT-5 and KOMPSAT-2 MS image as the test data set to evaluate the proposed method. In order to evaluate the efficiency of the proposed method, the fusion result was compared visually and quantitatively with the result obtained using existing fusion algorithms. The evaluation results showed that the proposed image fusion method achieved successful results in the fusion of SAR and MS image compared with the existing fusion algorithms.
Analysis of Crustal Deformation on the Korea Peninsula after the 2011 Tohoku Earthquake
Kim, Su-Kyung ; Bae, Tae-Suk ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 87~96
DOI : 10.7848/ksgpc.2012.30.1.087
The U.S. Geological Survey (USGS) announced that an earthquake of 9.0 magnitude had occurred near the east coast of Japan on March 11, 2011, resulting in a displacement of the crust of about 2.4 meters. The Korean peninsula is located on the Eurasian tectonic plate that stretches out to Japan; therefore, there is a high possibility of being affected by an earthquake. The Korean GPS CORS network operated by the National Geographic Information Institute (NGII) was processed for ten days before and after the earthquake. Both static and kinematic baseline processing were tested for the determination of crustal deformation. The static baseline processing was performed in two scenarios: 1) fixing three IGS stations in China, Mongolia and Russia; 2) fixing SUWN, one of the CORS networks in Korea, in order to effectively verify crustal deformation. All data processing was carried out using Bernese V5.0. The test results show that most of the parts of the Korean peninsula have moved to the east, ranging 1.2 to 5.6 cm, compared to the final solution of the day before the earthquake. The stations, such as DOKD and ULLE that are established on the islands closer to the epicenter, have clearly moved the largest amounts. Furthermore, the station CHJU, located on the southwestern part of Korea, presents relatively small changes. The relative positioning between CORS confirms the fact that there were internal distortions of the Korean peninsula to some extent. In addition, the 30-second interval kinematic processing of CORS data gives an indication of earthquake signals with some delays depending on the distance from the epicenter.
Correlation Analysis between GPS Precipitable Water Vapor and Heavy Snowfall on Gangwon Province in Early 2011
Song, Dong-Seob ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 30, issue 1, 2012, Pages 97~104
DOI : 10.7848/ksgpc.2012.30.1.097
In this paper, the GPS precipitable water vapor was retrieved by estimating of GPS signal delay in the troposphere during the progress of heavy snowfall on the Gangwon Province, 2011. For this period, the time series analysis between GPS precipitable water vapor and fresh snow depth was accomplished. The time series and the comparison with the GPS precipitable water vapor and the fresh snow depth indicates that the temporal change of two variations is closely related to the progress of the heavy snowfall. Also, the periodicity of GPS precipitable water vapor using the wavelet transform method was showed a similar cycle of saturated water vapor pressure as the limitation of this study span. The result shows that the decrement of GPS precipitable water vapor was conflicted with the increment of fresh snow depth at two sites, Gangneung and Uljin. The correlation between the GPS precipitable water vapor and the saturated water vapor pressure for the event was showed a positive correlation, compare with the non-heavy snowfall periods.