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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Society for Geospatial Information System
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Journal DOI :
The Korean Society for Geospatial Information System
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Volume & Issues
Volume 14, Issue 4 - Dec 2006
Volume 14, Issue 3 - Sep 2006
Volume 14, Issue 2 - Jun 2006
Volume 14, Issue 1 - Mar 2006
Selecting the target year
Measuring the Positional Accuracy of GIS Polygon Data
Hong, Sung-Eon ;
Journal of Korean Society for Geospatial Information System, volume 14, issue 4, 2006, Pages 3~10
This study proposes a method to measure the positional accuracy of the implemented GIS polygon data. Also, it aims to present a possibility to analyze the occurrence types of positional errors by improving the measuring methods of positional accuracy based on the existing individual methods and by linking individual methods. As a result of the actual application of the methodology to the test area, it was possible to measure the positional accuracy in target test areas and to analyze the occurrence causes (types) of positional errors through each index linking (linking methodologies). Also, research results allowed confirming the applicability of the methodology. However, complementary research for each standard numerical value is recommended in order to ensure the validity of methodology.
Evaluation of Airborne LiDAR Data using Field Surveyed Ground Control Points
Wie, Gwang-Jae ; Yang, In-Tae ; Suh, Young-Woon ; Sim, Jung-Min ;
Journal of Korean Society for Geospatial Information System, volume 14, issue 4, 2006, Pages 11~18
In this paper, airborne LiDAR data were evaluated in horizontal and vertical accuracy. By using zigzag scanning type of LiDAR, GCPs are not tested directly. So points around GCPs were used in this evaluation. Building corner points were made from LiDAR's building planar and compared with ground surveyed GCPs, in horizontal accuracy test. Its accuracy shows 19cm average and 21cm RMSE and 15 points were within 20cm among 16 points. In vertical accuracy test, 41 GCPs were used and it shows 11cm average and 14cm RMSE and 75% of GCPs were within 15cm. This could be a criterion in topographic map modification and basic geographic DB and 3D data construction using airborne LiDAR data.
Accuracy Assessment of Ground Information Extracting Method from LiDAR Data
Choi, Yun-Woong ; Choi, Nei-In ; Lee, Joon-Whoan ; Cho, Gi-Sung ;
Journal of Korean Society for Geospatial Information System, volume 14, issue 4, 2006, Pages 19~26
This study assessed the accuracies of the ground information extracting methods from the LiDAR data. Especially, it compared two kinds of method, one of them is using directly the raw LiDAR data which is point type vector data and the other is using changed data to DSM type as the normal grid type. The methods using Local Maxima and Entropy methods are applied as a former case, and for the other case, this study applies the method using edge detection with filtering and the generated reference surface by the mean filtering. Then, the accuracy assessment are performed with these results, DEM constructed manually and the error permitted limit in scale of digital map. As a results, each DEM mean errors of methods using edge detection with filtering, reference surface, Local Maxima and Entropy are 0.27m, 2.43m, 0.13m and 0.10m respectively. Hence, the method using entropy presented the highest accuracy. And an accuracy from a method directly using the raw LiDAR data has higher accuracy than the method using changed data to DSM type relatively.
Accuracy analysis of SPOT Orbit Modeling Using Orbit-Attitude Models
Kim, Hyun-Suk ; Kim, Tae-Jung ;
Journal of Korean Society for Geospatial Information System, volume 14, issue 4, 2006, Pages 27~36
Conventionally, in order to get accurate geolocation of satellite images we need a set of ground control points with respect to individual scenes. In this paper, we tested the possibilities of modeling satellite orbits from individual scenes by establishing a sensor model for one scene and by applying the model, which was derived from the same orbital segment, to other scenes that has been acquired from the same orbital segment. We investigated orbit-attitude models with several interpolation methods and with various parameter sets to be adjusted. We used 7 satellite images of SPOT-3 with a length of 420km and ground control points acquired from GPS surveying. Results of the conventional individual scene modeling hardly introduced differences among different interpolation methods and different adjustment parameter sets. As the results of orbit modeling, the best model was the one with Lagrange interpolation for position/velocity and linear interpolation for attitude and with position/angle bias as parameter sets. The best model showed that it is possible to model orbital segments of 420km with ground control points measured within one scene (60km).
Co-Registration of Aerial Photos, ALS Data and Digital Maps Using Linear Features
Lee, Jae-Bin ; Yu, Ki-Yun ;
Journal of Korean Society for Geospatial Information System, volume 14, issue 4, 2006, Pages 37~44
To use surveying data obtained from different sensors and different techniques, it is a pre-requite step that register them in a common coordinate system. For this purpose, we developed methodologies to register airborne photos, ALS (Airborne Laser Scanning) data and digital maps. To achieve this, conjugate features from these data should be extracted in advance. In this study, linear features are chosen as conjugate features. Based on such a selection strategy, a simple and robust algorithm is proposed for extracting such features from ALS data. Then, to register them, observation equations are established from similarity measurements of the extracted features and the results was evaluated statistically. The results clearly demonstrate that the proposed algorithms are appropriate to register these data.
The Analysis of the Coastline Data Registered in Cadastral Records
Choi, Gyu-Myeong ; Kwon, Jay-Hyoun ; Choi, Yun-Soo ;
Journal of Korean Society for Geospatial Information System, volume 14, issue 4, 2006, Pages 45~51
Recently the coast is an important area in terms of spatial land use and natural environment conservation such as the expansion of a national land and the development of a coastal industrial zone in Korea. We can not provide a proper solution for a boundary determination raised by a land ownership dispute due to the insufficient coast land registration. We observed the status of the coast land registration and analyzed the problem through the investigation of the difference between a land title and a coast land in the study area. We selected the west coast with the big difference between the ebb and flow of the tide as the study area from a paper review, compared a cadastral line with a coast line and suggested a good guideline to solve the problem through understanding the status of the coast land title registration in Korea.
The Study of Flood Simulations using LiDAR Data
Shim, Jung-Min ; Lee, Suk-Bae ;
Journal of Korean Society for Geospatial Information System, volume 14, issue 4, 2006, Pages 53~60
The purpose of this paper is forcasting of flooding area using LiDAR surveying data, and flood map for damage prevention is established for this purpose. Teahwa river at Ulsan city was chosen as test area and the flood simulation was produced in this area. For the flood simulation, each DEM using LiDAR data and digital map was established and then HEC model program and MIKE program was used to decide the amount of flood flowing and flood height. To improve the rainfall-overflow simulation confidence using inspection comparison of LiDAR data this paper analyzed and compared the LiDAR DEM accuracy and 1/5000 digital map DEM. The height accuracy is important factor to make flood map, however, LiDAR survey execution of all river area is not economic so, LiDAR survey execution of only important area is possible to be make high accuracy and economic flood map. The expectation effect of flood simulation is flood damage prevention and economic savings of recovery cost by forcasting of rainfall-overflow area and establishment of counter-measure.
Extracting Topographic Information from SPOT-5 HRG Stereo Images
Lee, Jin-Duk ; Lee, Seong-Sun ; Jeong, Tae-Sik ;
Journal of Korean Society for Geospatial Information System, volume 14, issue 4, 2006, Pages 61~70
This paper presents photogrammetric processing to generate digital elevation models using SPOT-5 HRG stereo images and deals with the accuracy potential of HRG (High Resolution Geometry) supermode imagery for DEM generation. After bundle adjustment was preformed for sensor modelling, digital surface models were generated through the procedures of Epipolar image resampling and image matching. The DEM extracted from HRG imagery was compared along several test sections with the the refernce DEM which was obtained from the digital topographic maps of a scale of 1 to 5000. The ratio of the zone with DEM errors less than 5m to the whole zone was 53.8%, and about 2.5m RMSE was showed when assuming that the zones larger than 5m were affected by clouds, water bodies and buildings and excluding those zones from accuracy evaluation. In addition, the three-dimensional bird's eye view model and 3D building model were producted based on the DSM which was extracted from SPOT-5 HRG data.
Support Vector Machine Classification of Hyperspectral Image using Spectral Similarity Kernel
Choi, Jae-Wan ; Byun, Young-Gi ; Kim, Yong-Il ; Yu, Ki-Yun ;
Journal of Korean Society for Geospatial Information System, volume 14, issue 4, 2006, Pages 71~77
Support Vector Machine (SVM) which has roots in a statistical learning theory is a training algorithm based on structural risk minimization. Generally, SVM algorithm uses the kernel for determining a linearly non-separable boundary and classifying the data. But, classical kernels can not apply to effectively the hyperspectral image classification because it measures similarity using vector's dot-product or euclidian distance. So, This paper proposes the spectral similarity kernel to solve this problem. The spectral similariy kernel that calculate both vector's euclidian and angle distance is a local kernel, it can effectively consider a reflectance property of hyperspectral image. For validating our algorithm, SVM which used polynomial kernel, RBF kernel and proposed kernel was applied to land cover classification in Hyperion image. It appears that SVM classifier using spectral similarity kernel has the most outstanding result in qualitative and spatial estimation.
The Development of Change Detection Software for Public Business
Jeong, Soo ;
Journal of Korean Society for Geospatial Information System, volume 14, issue 4, 2006, Pages 79~84
Change detection is a core functions of remote sensing. It can be widely used in public business such as land monitoring, demage assessment from disaster, growth analysis of cities, etc. However, it seems that the change detection using satellite imagery has not been fully used in public business. For the person who are in charge of public business, it would not be easy to implement the change detection because various functions are combined into it. So, to promote the use of the change detection in public business, the standard, the process and the method for the change detection in public business should be established. Also, the software which supports that would be very useful. This study aims to promote the use of satellite imagery in public business by building up the change detection process which are suitable for general public business and developing the change detection software to support the process. The software has been developed using ETRI Components for Satellite Image Processing to support the interoperability.