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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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The Korean Society for Geospatial Information System
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Volume 21, Issue 4 - Dec 2013
Volume 21, Issue 3 - Sep 2013
Volume 21, Issue 2 - Jun 2013
Volume 21, Issue 1 - Mar 2013
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Research on Basic Investigation and Analysis for Iand Substitution Planing using High-resolution Satellite Imagery
Choi, Seung Pil ; Jeong, Cheol Ju ; Yeu, Yeon ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 3~9
DOI : 10.7319/kogsis.2013.21.2.003
Various data like digital maps(1/1,000 or 1/5,000), field surveying, online materials and literatures are used for the preliminary investigation for urban development such as the feasibility evaluation, the profitability analysis, the zoning proposal, the zoning designation, and the land replotting planning. There are a couple of urban development methods like an expropriation, a replotting, a mixed-used method. The replotting method requires the consideration of land replotting types based on topography and building condition, which is not easy to gather data for the preliminary investigation maintaining the security of development planning. There are limitations of a preliminary investigation using aerial photos to detect topographic and building changes at specific period. GIS data combined with high-resolution imagery has advantages over the current dataset, which come from easy acquisition of various spatial resolution satellite images, wide swath coverage, the choice of imagery resolution satisfying a usage purpose, economic benefit comparing to aerial photos, and the calculation of distance and area on imagery from image modeling. For these reasons, the proposed method in this study enables to perform the more appropriate preliminary investigation using more accurate information.
Development of the Advanced SURF Algorithm for Efficient Matching of Stereo Image
Youm, Min Kyo ; Yoon, Hong Sik ; Whang, Jin Sang ; Lee, Dong Ha ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 11~17
DOI : 10.7319/kogsis.2013.21.2.011
Nowadays 3D models are used in diverse sectors. The 3D maps provide better reality than existing plane maps as well as diverse pieces of information that cannot be expected from the limited plane maps. A process proposed in this paper enables easy and quick production by replacing the expensive laser scanners for modeling by an improved digital camera stereo matching algorithm. The algorithm used in this study was a SURF algorithm contained in the OpenCV library. The unconformity points of the algorithm were eliminated using the homography conversion and epipolar lines. In addition, the improved algorithm was compared with the commercial program, and it showed a better performance than the commercial program. It is expected that the proposed method can contribute to the digital maps and 3D virtual reality because it enables easy and quick 3D modeling provided that the stereo matching conditions are met.
A Comparative Study on Suitable SVM Kernel Function of Land Cover Classification Using KOMPSAT-2 Imagery
Kang, Nam Yi ; Go, Sin Young ; Cho, Gi Sung ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 19~25
DOI : 10.7319/kogsis.2013.21.2.019
Recently, the high-resolution satellite images is used the land cover and status data for the natural resources or environment management very helpful. The SVM algorithm of image processing has been used in various field. However, classification accuracy by SVM algorithm can be changed by various kernel functions and parameters. In this paper, the typical kernel function of the SVM algorithm was applied to the KOMPSAT-2 image and than the result of land cover performed the accuracy analysis using the checkpoint. Also, we carried out the analysis for selected the SVM kernel function from the land cover of the target region. As a result, the polynomial kernel function is demonstrated about the highest overall accuracy of classification. And that we know that the polynomial kernel and RBF kernel function is the best kernel function about each classification category accuracy.
Extraction of the Tree Regions in Forest Areas Using LIDAR Data and Ortho-image
Kim, Eui Myoung ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 27~34
DOI : 10.7319/kogsis.2013.21.2.027
Due to the increased interest in global warming, interest in forest resources aimed towards reducing greenhouse gases have subsequently increased. Thus far, data related to forest resources have been obtained, through the employment of aerial photographs or satellite images, by means of plotting. However, the use of imaging data is disadvantageous; merely, due to the fact that recorded measurements such as the height of trees, in dense forest areas, lack accuracy. Within such context, the authors of this study have presented a method of data processing in which an individual tree is isolated within forested areas through the use of LIDAR data and ortho-images. Such isolation resulted in the provision of more efficient and accurate data in regards to the height of trees. As for the data processing of LIDAR, the authors have generated a normalized digital surface model to extract tree points via local maxima filtering, and have additionally, with motives to extract forest areas, applied object oriented image classifications to the processing of data using ortho-images. The final tree point was then given a figure derived from the combination of LIDAR and ortho-images results. Based from an experiment conducted in the Yongin area, the authors have analyzed the merits and demerits of methods that either employ LIDAR data or ortho-images and have thereby obtained information of individual trees within forested areas by combining the two data; thus verifying the efficiency of the above presented method.
A Study on the Building Object Correspondence Between SLI and Vector Map for Conflation
Ga, Chill O ; Rho, Gon Il ; Huh, Yong ; Lee, Jeung Ho ; Yu, Ki Yun ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 35~43
DOI : 10.7319/kogsis.2013.21.2.035
Georeferenced SLI(Street-Level Imagery) services such as Google Streetview, which contain abundant information about the real world, can increase its applicability substantially through conflation with other spatial datasets. For this purpose, we propose a method to improve a correspondence of building region to combine building information more accurately. First, the spatial inconsistency between SLI and vector map is removed by alignment based on road intersections. Then, visible building regions are searched from the spatial inconsistency-removed vector map, and the optimal corresponding building areas are determined in the SLI scene using the visible regions as seed information. The experimental results demonstrated that our method had improved the accuracy of building region correspondence by about 8%. Therefore, our method can be utilized effectively for enhancement of conflation service based on the SLI.
Analysis of Block Geometry of UltraCamX
Lee, Seung Bok ; Lee, Jae One ; Cha, Sung Yeoul ; Yun, Bu Yeol ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 45~51
DOI : 10.7319/kogsis.2013.21.2.045
Today, people who live in sea of information are strongly appearing desire about quicker and more accurate information. For a long time people wanted to know information about place that I am and where I must go out, and there are various methods to have a keen desire for position information. Equipment that is using most among the method is digital camera. In this study, the accuracy of external orientation, GCP and check point depending on array of GCP and regional feature are analyzed after AT(aerial triangulation) with UltraCamX in three selected study area with specific feature. As analysis result, we could get to know that area with a mountainous district rapidly decreased accuracy of external orientation according as number of GCP decreases, and area with high buildings became low in vertical accuracy of checkpoint. This study has performed the analysis of regional factors in aerial triangulation accuracy.
Urban Growth Prediction each Administrative District Considering Social Economic Development Aspect of Climate Change Scenario
Kim, Jin Soo ; Park, So Young ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 53~62
DOI : 10.7319/kogsis.2013.21.2.053
Land-use/cover changes not only amplify or alleviate influence of climate changes but also they are representative factors to affect environmental change along with climate changes. Thus, the use of land-use/cover changes scenario, consistent climate change scenario is very important to evaluate reliable influences by climate change. The purpose for this study is to predict and analyze the future urban growth considering social and economic scenario from RCP scenario suggested by the 5th evaluation report of IPCC. This study sets land-use/cover changes scenario based on storyline from RCP 4.5 and 8.5 scenario. Urban growth rate for each scenario is calculated by urban area per person and GDP for the last 25 years and regression formula based on double logarithmic model. In addition, the urban demand is predicted by the future population and GDP suggested by the government. This predicted demand is spatially distributed by the urban growth probability map made by logistic regression. As a result, the accuracy of urban growth probability map is appeared to be 89.3~90.3% high and the prediction accuracy for RCP 4.5 showed higher value than that of RCP 8.5. Urban areas from 2020 to 2050 showed consistent growth while the rate of increasing urban areas for RCP 8.5 scenario showed higher value than that of RCP 4.5 scenario. Increase of urban areas is predicted by the fact that famlands are damaged. Especially RCP 8.5 scenario indicated more increase not only farmland but also forest than RCP 4.5 scenario. In addition, the decrease of farmland and forest showed higher level from metropolitan cities than province cities. The results of this study is believed to be used for basic data to clarify complex two-way effects quantitatively for future climate change, land-use/cover changes.
Comparison of Change Detection Accuracy based on VHR images Corresponding to the Fusion Estimation Indexes
Wang, Biao ; Choi, Seok Geun ; Choi, Jae Wan ; Yang, Sung Chul ; Byun, Young Gi ; Park, Kyeong Sik ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 63~69
DOI : 10.7319/kogsis.2013.21.2.063
Change detection technique is essential to various applications of Very High-Resolution(VHR) satellite imagery and land monitoring. However, change detection accuracy of VHR satellite imagery can be decreased due to various geometrical dissimilarity. In this paper, the existing fusion evaluation indexes were revised and applied to improve VHR imagery based change detection accuracy between multi-temporal images. In addition, appropriate change detection methodology of VHR images are proposed through comparison of general change detection algorithm with cross-sharpened image based change detection algorithm. For these purpose, ERGAS, UIQI and SAM, which were representative fusion evaluation index, were applied to unsupervised change detection, and then, these were compared with CVA based change detection result. Methodologies for minimizing the geometrical error of change detection algorithm are analyzed through evaluation of change detection accuracy corresponding to image fusion method, also. The experimental results are shown that change detection accuracy based on ERGAS index by using cross-sharpened images is higher than these based on other estimation index by using general fused image.
Consortium Configuration of Local Governments for Disaster Joint Response Plan
Jung, Woo Young ; Lee, Chang Hee ; Kim, Gi Hong ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 71~83
DOI : 10.7319/kogsis.2013.21.2.071
Recently frequencies and scales in natural disasters have been significantly increased and enlarged and that leads to increase interests on preventing disasters. As natural disasters occur, it is difficult to fulfill the scale of natural disasters using ordinary stocks in a local government. Thus, it is necessary to establish a system that commonly uses protection resources according to regional characteristics in order to rapidly implement labor mobilization and equipment distribution based on the damage of natural disasters. In this study, regional characteristics in Korea provinces are analyzed and 'a way of composing a local government consortium for common disaster responses' is proposed. First, a disaster map that represents the amount of damage for each local government published in the disaster yearbook from 2002 to 2011 is produced using GIS. Then, the whole land is divided into five different sections according to administrative regions and that are divided into 12 clusters again based on the geographical and humanistic characteristics and the analysis of the scale of damage in typhoons and heavy rainfalls. Finally, disaster protection base stations for each region are selected. The data of analyzing disaster damages may be used as a reference material for establishing disaster prevention plans.
Analysis of CO2 Distribution Properties Using GOSAT : a Case Study of North-East Asia
Choi, Jin Ho ; Um, Jung Sup ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 85~92
DOI : 10.7319/kogsis.2013.21.2.085
This study determined the spatial distribution characteristics of carbon dioxide in Northeast Asia, connecting land coverage and vegetation index that have influence on concentration and distribution of carbon dioxide measured by GOSAT with GIS spatial analysis method. The results visibly showed that the spatial distribution of carbon dioxide had different patterns in dependent on the present status of land use in its surrounding area. Such high concentration of carbon dioxide was formed in developed sites like cities while forest areas showed low concentration of it. We also found that there were relatively high negative(-) correlations between carbon dioxide and vegetation, in statistically significant level. It is expected to be used as a basic data for establishing measures to reduce greenhouse gas in the future.
Analysis of Shadow Effect on High Resolution Satellite Image Matching in Urban Area
Yeom, Jun Ho ; Han, You Kyung ; Kim, Yong Il ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 93~98
DOI : 10.7319/kogsis.2013.21.2.093
Multi-temporal high resolution satellite images are essential data for efficient city analysis and monitoring. Yet even when acquired from the same location, identical sensors as well as different sensors, these multi-temporal images have a geometric inconsistency. Matching points between images, therefore, must be extracted to match the images. With images of an urban area, however, it is difficult to extract matching points accurately because buildings, trees, bridges, and other artificial objects cause shadows over a wide area, which have different intensities and directions in multi-temporal images. In this study, we analyze a shadow effect on image matching of high resolution satellite images in urban area using Scale-Invariant Feature Transform(SIFT), the representative matching points extraction method, and automatic shadow extraction method. The shadow segments are extracted using spatial and spectral attributes derived from the image segmentation. Also, we consider information of shadow adjacency with the building edge buffer. SIFT matching points extracted from shadow segments are eliminated from matching point pairs and then image matching is performed. Finally, we evaluate the quality of matching points and image matching results, visually and quantitatively, for the analysis of shadow effect on image matching of high resolution satellite image.
Semi-Automatic Method for Constructing 2D and 3D Indoor GIS Maps based on Point Clouds from Terrestrial LiDAR
Hong, Sung Chul ; Jung, Jae Hoon ; Kim, Sang Min ; Hong, Seung Hwan ; Heo, Joon ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 99~105
DOI : 10.7319/kogsis.2013.21.2.099
In rapidly developing urban areas that include high-rise, large, and complex buildings, indoor and outdoor maps in GIS become a basis for utilizing and sharing information pertaining to various aspects of the real world. Although an indoor mapping has gained much attentions, research efforts are mostly in 2D and 3D modeling of terrain and buildings. Therefore, to facilitate fast and accurate construction of indoor GIS, this paper proposes a semi-automatic method consisting of preprocessing, 2D mapping, and 3D mapping stages. The preprocessing is designed to estimate heights of building interiors and to identify noise data from point clouds. In the 2D mapping, a floor map is extracted with a tracing grid and a refinement method. In the 3D mapping, a 3D wireframe model is created with heights from the preprocessing stage. 3D mesh data converted from noise data is combined with the 3D wireframe model for detail modeling. The proposed method was applied to point clouds depicting a hallway in a building. Experiment results indicate that the proposed method can be utilized to construct 2D and 3D maps for indoor GIS.
Impact of Changes in Climate and Land Use/Land Cover Change Under Climate Change Scenario on Streamflow in the Basin
Kim, Jin Soo ; Choi, Chul Uong ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 107~116
DOI : 10.7319/kogsis.2013.21.2.107
This study is intended to predict variations in future land use/land cover(LULC) based on the representation concentration pathway(RCP) storyline that is a new climate change scenario and to analyze how future climate and LULC changes under RCP scenario affects streamflow in the basin. This study used climate data under RCP 4.5 and 8.5 and LULC change scenario is created by a model that is developed using storyline of RCP 4.5 and 8.5 and logistic regression(LR). Two scenarios(climate change only and LULC change only) were established. The streamflow in future periods under these scenarios was simulated by the Soil and Water Assessment Tool(SWAT) model. Each scenario showed a significant seasonal variations in streamflow. Climate change showed that it reduced streamflow in summer and autumn while it increased streamflow in spring and winter. Although LULC change little affected streamflow in the basin, the pattern for increasing and decreasing streamflow during wet and dry climate condition was significant. Therefore, it's believed that sustainable water resource policies for flood and drought depending on future LULC are required.
Decision on the Optimal Photographing Angle and Overlapping Ratio of Non-metric Cameras for Development of Automatic Image Stitching System
Kim, Dae Sung ; Shin, Sang Chul ;
Journal of Korean Society for Geospatial Information System, volume 21, issue 2, 2013, Pages 117~123
DOI : 10.7319/kogsis.2013.21.2.117
This study focuses on the determination of optimal photographing angle and overlapping ratio for automatic image stitching system using a non-metric camera module with motorized head. Photographing overlap was calculated considering the angle of view on different kinds of lenses and moving angle of motorized head per each option, and optimal photographing angle and overlapping ratio could be determined through the experimental result using the operating time, data volume and performance of image stitching. Through this experiment, we could find that it was effective to take a picture with
of interval(33.82% of overlap) in vertical direction and
of interval(36.51% or 20.63% of overlap) in horizontal direction using 35mm lens for automatic image stitching system.