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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Korean Journal of Remote Sensing
Journal Basic Information
Journal DOI :
The Korean Society of Remote Sensing
Editor in Chief :
Volume & Issues
Volume 27, Issue 6 - Dec 2011
Volume 27, Issue 5 - Oct 2011
Volume 27, Issue 4 - Aug 2011
Volume 27, Issue 3 - Jun 2011
Volume 27, Issue 2 - Apr 2011
Volume 27, Issue 1 - Feb 2011
Selecting the target year
Analysis of Satellite Imagery Information Needs in Korea
Kim, Kwang-Eun ; Kim, Yoon-Soo ;
Korean Journal of Remote Sensing, volume 27, issue 1, 2011, Pages 1~7
DOI : 10.7780/kjrs.2011.27.1.001
Satellite imagery information have not been fully utilized due to the low R&D investment in remote sensing application though Korea had succeeded in developing series of earth observing satellites during the last decades. However, another series of earth observing satellites such as KOMPSAT 3, 3-A, 5 are going to be launched in the near future. And recent global warming issues stimulate both private and public sectors to make the most of satellite imagery information. Therefore, it is inevitable to promote the utilization of Korean satellite imagery information. In this study, we analyzed the demand and restrictions in exploitation of satellite imagery information in Korea through the online survey and interview. The results showed that the standardization of pre-processing, service of detailed technical information, fast and reliable image data delivery system are mostly required.
Image Registration of Cloudy Pushbroom Scanner Images
Lee, Won-Hee ; Yu, Su-Hong ; Heo, Joon ;
Korean Journal of Remote Sensing, volume 27, issue 1, 2011, Pages 9~15
DOI : 10.7780/kjrs.2011.27.1.009
Since PAN(panchromatic) and MS(multispectral) imagery of pushbroom scanner have the offset between PAN and MS CCD(charge coupled device) in the focal plane, PAN and MS images are acquired at different time and angle. Since clouds are fast moving objects, they should lead mis-registration problem with wrong matching points on clouds. The registration of cloudy imagery to recognize and remove the contamination of clouds can be categorized into three classes: (1) cloud is considered as nose and removed (2) employing multi-spectral imagery (3) using multi-temporal imagery. In this paper, method (1) and (3) are implemented and analysed with cloudy pushbroom scanner images.
Vegetation Interannualvariavility Over Korea Using 10-Years 1KM NDVI Data
Kim, In-Hwan ; Han, Kyung-Soo ; Kim, Sang-Il ;
Korean Journal of Remote Sensing, volume 27, issue 1, 2011, Pages 17~24
DOI : 10.7780/kjrs.2011.27.1.017
Global warming and climatic changes due to human activities impact on marine and terrestrial ecosystems, which feedbacks to climate system. These negative feedbacks amplify or accelerate again global climate change. In particular, it is important to analyze vegetation change. This study attempts to analyze quantitatively vegetation change in Korea peninsula by using harmonic analysis. Harmonic-Analysis based on Fourier Transform is the method to effectively demonstrate for time series data. Especially, Harmonic-Analysis is very suitable method to analyze vegetation change because the vegetation repeats the cycle growth and extinction every year. The result of harmonic-analysis shows vegetation change as time passes. In this study, SPOTNEGETATION S10 MVC NDVI data was used during last 10 years (1999-2008) in Korea Peninsula. Also, land type classification used MODIS Land Cover Map data. The study estimated that phase values moved up approximately 0.5 day per year in cropland and 0.8 day per year in forest.
Precise Control of Antenna Position in Arc-Rail Based GB-SAR System
Kim, Kwang-Eun ; Cho, Seong-Jun ; Sung, Nak-Hoon ; Lee, Jae-Hee ; Kang, Moon-Kyung ;
Korean Journal of Remote Sensing, volume 27, issue 1, 2011, Pages 25~31
DOI : 10.7780/kjrs.2011.27.1.025
Precise control of antenna position is very critical in ArcSAR system which uses an arc-rail as a platform for the antenna movement instead of linear rail. In order to minimize the antenna positional error, we improved the motion driving system and applied a newly developed motion control S/W which utilizes the real time antenna position information from magnetic linear scale and encoder. The experimental results showed that the rotational RMS error was reduced to
. In terms of antenna positional RMS error for the arm length of 3m, it was reduced to 0.324mm from 2.262mm. It is expected that the ArcSAR system can be used to monitor the sub-millimetric displacement of terrain and structural targets.
Development of Android Smartphone App for Corner Point Feature Extraction using Remote Sensing Image
Kang, Sang-Goo ; Lee, Ki-Won ;
Korean Journal of Remote Sensing, volume 27, issue 1, 2011, Pages 33~41
DOI : 10.7780/kjrs.2011.27.1.033
In the information communication technology, it is world-widely apparent that trend movement from internet web to smartphone app by users demand and developers environment. So it needs kinds of appropriate technological responses from geo-spatial domain regarding this trend. However, most cases in the smartphone app are the map service and location recognition service, and uses of geo-spatial contents are somewhat on the limited level or on the prototype developing stage. In this study, app for extraction of corner point features using geo-spatial imagery and their linkage to database system are developed. Corner extraction is based on Harris algorithm, and all processing modules in database server, application server, and client interface composing app are designed and implemented based on open source. Extracted corner points are applied LOD(Level of Details) process to optimize on display panel. Additional useful function is provided that geo-spatial imagery can be superimposed with the digital map in the same area. It is expected that this app can be utilized to automatic establishment of POI (Point of Interests) or point-based land change detection purposes.
Optimal Site Selection of Carbon Storage Facility using Satellite Images and GIS
Hong, Mi-Seon ; Sohn, Hong-Gyoo ; Jung, Jae-Hoon ; Cho, Hyung-Sig ; Han, Soo-Hee ;
Korean Journal of Remote Sensing, volume 27, issue 1, 2011, Pages 43~49
DOI : 10.7780/kjrs.2011.27.1.043
In the face of growing concern about global warming, increasing attention has been focused on the reduction of carbon dioxide emissions. One method to mitigating the release of carbon dioxide is Carbon Capture and Storage (CCS). CCS includes separation of carbon dioxide from industrial emission in plants, transport to a storage site, and long-term isolation in underground. It is necessary to conduct analyses on optimal site selection, surface monitoring, and additional effects by the construction of CCS facility in Gyeongsang basin, Korea. For the optimal site selection, necessary data; geological map, landcover map, digital elevation model, and slope map, were prepared, and a weighted overlay analysis was performed. Then, surface monitoring was performed using high resolution satellite image. As a result, the candidate region was selected inside Gyeongnam for carbon storage. Finally, the related regulations about CCS facility were collected and analyzed for legal question of selected site.
DEM Generation and Accuracy Comparison from Multiple Kompsat-2 Images
Rhee, Soo-Ahm ; Jeong, Jae-Hoon ; Lee, Tae-Yoon ; Kim, Tae-Jung ;
Korean Journal of Remote Sensing, volume 27, issue 1, 2011, Pages 51~58
DOI : 10.7780/kjrs.2011.27.1.051
Accurate DEM(Digital Elevation Model) generation using satellite images is an active research topic. This paper focuses on generation of a DEM with multiple Kompsat-2 images. For DEM generation, we applied an orbit-attitude sensor model and a RPM sensor model to stereo and multiple Kompsat-2 images respectively. For matching, we used an object-space based matching method. Through the result of this experiment, we could confirm that the sensor model from multiple images is more accurate than the model from stereo images. Also DEM from multiple images gave much better performance than DEM from stereo images.
Analysis of Optimal Infiltraction Route using Genetic Algorithm
Bang, Soo-Nam ; Sohn, Hyong-Gyoo ; Kim, Sang-Pil ; Kim, Chang-Jae ; Heo, Joon ;
Korean Journal of Remote Sensing, volume 27, issue 1, 2011, Pages 59~68
DOI : 10.7780/kjrs.2011.27.1.059
The analysis of optimal infiltration path is one of the representative fields in which the GIS technology can be useful for the military purpose. Usually the analysis of the optimal path is done with network data. However, for military purpose, it often needs to be done with raster data. Because raster data needs far more computation than network data, it is difficult to apply the methods usually used in network data, such as Dijkstra algorithm. The genetic algorithm, which has shown great outcomes in optimization problems, was applied. It was used to minimize the detection probability of infiltration route. 2D binary array genes and its crossover and mutation were suggested to solve this problem with raster data. 30 tests were performed for each population size, 500, 1000, 2000, and 3000. With each generation, more adoptable routes survived and made their children routes. Results indicate that as the generations increased, average detection probability decreased and the routes converged to the optimal path. Also, as the population size increases, more optimal routes were found. The suggested genetic algorithm successfully finds the optimal infiltration route, and it shows better performance with larger population.
Variable Selection for Estimating Population Using DMSP-OLS Night-time Image
Yoo, Su-Hong ; Han, Soo-Hee ; Heo, Joon ; Sohn, Hong-Gyoo ;
Korean Journal of Remote Sensing, volume 27, issue 1, 2011, Pages 69~74
DOI : 10.7780/kjrs.2011.27.1.069
It may be an important issue to estimate population of a concerned country. In this study, an appropriate variable was selected to establish a model which fits best the relationship between the night time imagery of DMSP-OLS and population data. Exponential model was selected which was proposed by previous study. Accuracy validation was also performed for each variable extracted from the night time imagery of DMSP-OLS. Consequently, the model showed high accuracy when applied to the area of a certain amount of light was existed. However, further consideration should be necessary when to applied other country or other part of regions.