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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 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
Selecting the target year
Generation of Simulated Image from Atmospheric Corrected Landsat TM Images
Lee, Soo Bong ; La, Phu Hien ; Eo, Yang Dam ; Pyeon, Mu Wook ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 1, 2015, Pages 1~9
DOI : 10.7848/ksgpc.2015.33.1.1
A remote sensed image simulation following to weather and season conditions can be performed by a reverse atmospheric correction which is a function of image preprocessing. In this study, we have made an experiment to generate the simulated image to the raw image, which is prior to the atmospheric corrected images under the specific weather conditions. The applied methods in this study were the Forster algorithm (1984) and 6S RTM (Radiative Transfer Model). The simulated images has been compared with the original image to analyze compliances. In fact, the results from 6S RTM method show better compliances than Forster, with a mean of RMSE of DN difference 9.35 and a mean of
0.7. In conclusion, a simulated image has practical feasibility when similar to the period and season as the reference image.
High Quality Ortho-image Production Using the High Resolution DMCII Aerial Image
Kim, Jong Nam ; Um, Dae Yong ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 1, 2015, Pages 11~21
DOI : 10.7848/ksgpc.2015.33.1.11
An Ortho-image is the production of removed geometrical displacement, which is generated the aerial image distortion and the relief displacement, etc., using the DSM (Digital Surface Model). Accordingly, the resolution of raw image and the accuracy of DSM will has significant impacts on the ortho-image accuracy. Since the latest DMCII250 aerial camera delivers the high resolution images with five centimeters Ground Sampling Distance(GSD), it expects to generate the high density point clouds and the high quality ortho-images. Therefore, this research has planned for reviewing the potentiality and accuracy of high quality ortho-image production. Following to proceed the research, DSM has been produced through the high density point cloud extracted from DMCII250 aerial image to supply of high density DSM by creation of ortho-image. The research results has been identified that images with the DSM brought out higher degrees in positional accuracy and quality of ortho-image, compared with the ortho-image, produced from the existing digital terrain map or DSM data.
Mapping 3D Shorelines Using KOMPSAT-2 Imagery and Airborne LiDAR Data
Choung, Yun Jae ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 1, 2015, Pages 23~30
DOI : 10.7848/ksgpc.2015.33.1.23
A shoreline mapping is essential for describing coastal areas, estimating coastal erosions and managing coastal properties. This study has planned to map the 3D shorelines with the airborne LiDAR(Light Detection and Ranging) data and the KOMPSAT-2 imagery, acquired in Uljin, Korea. Following to the study, the DSM(Digital Surface Model) is generated firstly with the given LiDAR data, while the NDWI(Normalized Difference Water Index) imagery is generated by the given KOMPSAT-2 imagery. The classification method is employed to generate water and land clusters from the NDWI imagery, as the 2D shorelines are selected from the boundaries between the two clusters. Lastly, the 3D shorelines are constructed by adding the elevation information obtained from the DSM into the generated 2D shorelines. As a result, the constructed 3D shorelines have had 0.90m horizontal accuracy and 0.10m vertical accuracy. This statistical results could be concluded in that the generated 3D shorelines shows the relatively high accuracy on classified water and land surfaces, but relatively low accuracies on unclassified water and land surfaces.
Analysis of 3D Accuracy According to Determination of Calibration Initial Value in Close-Range Digital Photogrammetry Using VLBI Antenna and Mobile Phone Camera
Kim, Hyuk Gi ; Yun, Hong Sik ; Cho, Jae Myoung ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 1, 2015, Pages 31~43
DOI : 10.7848/ksgpc.2015.33.1.31
This study had been aimed to conduct the camera calibration on VLBI antenna in the Space Geodetic Observation Center of Sejong City with a low-cost digital camera, which embedded in a mobile phone to determine the three-dimension position coordinates of the VLBI antenna, based on stereo images. The initial values for the camera calibration have been obtained by utilizing the Direct Linear Transformation algorithm and the commercial digital photogrammetry system, PhotoModeler
ver. 6.0, respectively. The accuracy of camera calibration results was compared with that the camera calibration results, acquired by a bundle adjustment with nonlinear collinearity condition equation. Although two methods showed significant differences in the initial value, the final calibration demonstrated the consistent results whichever methods had been performed for obtaining the initial value. Furthermore, those three-dimensional coordinates of feature points of the VLBI antenna were respectively calculated using the camera calibration by the two methods to be compared with the reference coordinates obtained from a total station. In fact, both methods have resulted out a same standard deviation of
, that of showing a high degree of accuracy in centimeters. From the result, we can conclude that a mobile phone camera opens up the way for a variety of image processing studies, such as 3D reconstruction from images captured.
Automatic Matching of Building Polygon Dataset from Digital Maps Using Hierarchical Matching Algorithm
Yeom, Junho ; Kim, Yongil ; Lee, Jeabin ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 1, 2015, Pages 45~52
DOI : 10.7848/ksgpc.2015.33.1.45
The interoperability of multi-source data has become more important due to various digital maps, produced from public institutions and enterprises. In this study, the automatic matching algorithm of multi-source building data using hierarchical matching was proposed. At first, we divide digital maps into blocks and perform the primary geometric registration of buildings with the ICP algorithm. Then, corresponding building pairs were determined by evaluating the similarity of overlap area, and the matching threshold value of similarity was automatically derived by the Otsu binary thresholding. After the first matching, we extracted error matching candidates buildings which are similar with threshold value to conduct the secondary ICP matching and to make a matching decision using turning angle function analysis. For the evaluation, the proposed method was applied to representative public digital maps, road name address map and digital topographic map 2.0. As a result, the F measures of matching and non-matching buildings increased by 2% and 17%, respectively. Therefore, the proposed method is efficient for the matching of building polygons from multi-source digital maps.
Development of Algerian Weighted Mean Temperature Model for High Accurate Precipitable Water Vapor
Sim, SeungHye ; Song, DongSeob ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 1, 2015, Pages 53~62
DOI : 10.7848/ksgpc.2015.33.1.53
The water vapor including latent heat is the important component in an atmospheric circulation and in a monitoring of the Earth's climate changes, as well as in the weather forecast improvement. In this study, to establish the Algerian weighted mean temperature model, a linear regression method had been developed under 5 radiosonde observations for a total 24,694 profiles from 2004 to 2013. An weighted mean temperature is a key parameter in the processing of PWV from GNSS tropospheric delays. The result from the study has expected to provide an useful model to demonstrate the realization and utility of using the ground-based GNSS meteorology technique that will bring improvements in weather forecasting, climate monitoring in Algeria.
Evaluation of Block-based Sharpening Algorithms for Fusion of Hyperion and ALI Imagery
Kim, Yeji ; Choi, Jaewan ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 33, issue 1, 2015, Pages 63~70
DOI : 10.7848/ksgpc.2015.33.1.63
An Image fusion, or Pansharpening is a methodology of increasing the spatial resolution of image with low-spatial resolution using high-spatial resolution images. In this paper, we have performed an image fusion of hyperspectral imagery by using panchromatic image with high-spatial resolution, multispectral and hyperspectral images with low-spatial resolution, which had been acquired by ALI and Hyperion of EO-1 satellite sensors. The study has been mainly focused on evaluating performance of fusion process following to the image fusion methodology of the block association, which had applied to ALI and Hyperion dataset by considering spectral characteristics between multispectral and hyperspectral images. The results from experiments have been identified that the proposed algorithm efficiently improved the spatial resolution and minimized spectral distortion comparing with results from a fusion of the only panchromatic and hyperspectral images and the existing block-based fusion method. Through the study in a proposed algorithm, we could concluded in that those applications of airborne hyperspectral sensors and various hyperspectral satellite sensors will be launched at future by enlarge its usages.