• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.885-889
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• 2009

국가하천 함평천은 전라남도 함평군과 무안군 등 2개 군에 걸쳐 위치하고 있는 영산강의 제1지류로서 동측으로는 고막원천, 서측으로는 서해안, 북측으로는 영광군이 위치하고 있으며, 남측으로는 영산강 본류와 접하고 있다. 전라남도 함평군 함평읍, 엄다면, 학교면 사이에 위치한 함평 세계 나비 곤충 엑스포장 옆의 함평 2지구 하천환경정비사업 구간을 구하도 복원사업 구간으로 설정하였다. 이 연구는 함평 2지구 하천환경정비사업 구간에서 수리학적 영향을 검토할 목적으로 수행하였다. 평면 이차원 모형을 사용하여 흐름 변화를 분석하였다. 흐름 계산은 RMA2 모형을 사용하였으며, 유속과 수위의 평면적 변화를 분석하였다. 또한, 평면 이차원 모형 적용 결과를 통해 하도 폐색 가능성을 분석하였다. 하도의 사행화와 분리하도를 구성하여 다양한 유속 분포를 보였으며, 분리하도 구간은 1 $m^3/s$ 이상의 유량을 유지하고 있어 하도 폐색은 발생하지 않을 것으로 판단되었다. 퇴적 및 침식에 의한 하도의 직선화가 되지 않도록 적절한 재료의 선택하여야 할 것으로 판단된다.

• Geophysics and Geophysical Exploration
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• v.14 no.4
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• pp.335-341
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• 2011

Most sensing and instrumentation systems should have very higher sampling rate than required data rate not to miss important information. This means that the system can be inefficient in some cases. This paper introduces two new research areas about information acquisition with high accuracy from less number of sampled data. One is Compressed Sensing technology (which obtains original information with as little samples as possible) and the other is Super-Resolution technology (which gains very high-resolution information from restrictively sampled data). This paper explains fundamental theories and reconstruction algorithms of compressed sensing technology and describes several applications to geophysical exploration. In addition, this paper explains the fundamentals of super-resolution technology and introduces recent research results and its applications, e.g. FRI (Finite Rate of Innovation) and LIMS (Least-squares based Iterative Multipath Super-resolution). In conclusion, this paper discusses how these technologies can be used in geophysical exploration systems.

• Korean Journal of Remote Sensing
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• v.36 no.6_1
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• pp.1407-1419
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• 2020

Long time-series gridded data is crucial for the analyses of Earth environmental changes. Climate reanalysis and satellite images are now used as global-scale periodical and quantitative information for the atmosphere and land surface. This paper examines the feasibility of DCT-PLS (penalized least square regression based on discrete cosine transform) for the spatial gap filling of gridded data through the experiments for multiple variables. Because gap-free data is required for an objective comparison of original with gap-filled data, we used LDAPS (Local Data Assimilation and Prediction System) daily data and MODIS (Moderate Resolution Imaging Spectroradiometer) monthly products. In the experiments for relative humidity, wind speed, LST (land surface temperature), and NDVI (normalized difference vegetation index), we made sure that randomly generated gaps were retrieved very similar to the original data. The correlation coefficients were over 0.95 for the four variables. Because the DCT-PLS method does not require ancillary data and can refer to both spatial and temporal information with a fast computation, it can be applied to operative systems for satellite data processing.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.2043-2047
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• 2009

국내 하천의 홍수터는 농경지, 공원 및 주차장 등으로 도시는 물론 농촌에서까지 다양하게 활용되고 있음에도 불구하고 과거 오랜기간동안 무분별하게 점용허가되거나 불법으로 점용 및 활용되면서 홍수터 활용 실태가 파악되어 있지 못한 실정이다. 또한, 2007년 하천법 개정을 통하여 하천의 친환경적인 관리를 위하여 보전지구, 복원지구 및 친수지구로 구분하여 하천을 관리할 계획을 가지고 있으나 현재 하천에 대한 전반적인 조사가 부족하여 구분할 근거나 방법이 없는 실정이다. 따라서 본 연구에서는 국내 주요하천에 대하여 홍수터의 활용 현황을 조사 및 분석하여 문제점과 대책방향을 제시하고자 한다.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2003.02a
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• pp.13-25
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• 2003

• Landscaping Tree
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• v.69 no.7_8
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• pp.42-44
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• 2002

• Journal of Wetlands Research
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• v.25 no.4
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• pp.394-407
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• 2023

Ecological restoration is an ecological technology that diagnoses problematic ecological spaces and restores the damaged ecosystem to a healthy appearance similar to its original appearance based on reference information obtained by analyzing intact nature. To achieve successful restoration, the project must be carried out in respect of a series of procedures. However, in Korea, restoration projects are usually actively promoted regardless of diagnostic evaluation, which wastes cost and energy, and the effect is not significant. As the reference information is not utilized, ecological restoration to return the damaged nature makes features different greatly from the appearance of nature, causing another damage. As the restoration effect is not evaluated, it is impossible to determine whether it is successful or not, and as a result, even if the project continues, there is no development and no effect. However, advanced societies have not only made academic progress by respecting these procedures but also have great economic effects along with the improvement of environmental conditions as ecological restoration has become an industry. Therefore, the international society recognizes ecological restoration as an important means of solving environmental problems at the global level, including climate change, and international organizations are actively promoting projects to treat the injured planet. However, most of the restoration projects promoted in Korea were evaluated below the level as a result of the evaluation of the effect. Nevertheless, those who have led low-quality projects are blocking plans to establish ecological restoration as a new industry that can contribute significantly to improving these levels, and thus the problem is expected to worsen. To solve this problem, it is necessary to filter out defective businesses by introducing a strict and correct project evaluation system by dividing it into before and after. Furthermore, it is necessary to establish ecological restoration as an industry and leave the process in the principles of the market.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1245-1254
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• 2023

Significant research has been conducted on the W-band synthetic aperture radar (SAR) system that utilizes the 77 GHz frequency modulation continuous wave (FMCW) radar. To reconstruct the high-resolution W-band SAR image, it is necessary to transform the point cloud acquired from the stereo cameras or the LiDAR in the direction of 6 degrees of freedom (DOF) and apply them to the SAR signal processing. However, there are difficulties in matching images due to the different geometric structures of images acquired from different sensors. In this study, we present the method to extract an optimized depth map by obtaining 6 DOF of the point cloud using a gradient descent method based on the entropy of the SAR image. An experiment was conducted to reconstruct a tree, which is a major road environment object, using the constructed W-band SAR system. The SAR image, reconstructed using the entropy-based gradient descent method, showed a decrease of 53.2828 in mean square error and an increase of 0.5529 in the structural similarity index, compared to SAR images reconstructed from radar coordinates.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.953-966
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• 2022

Since aerosols adversely affect human health, such as deteriorating air quality, quantitative observation of the distribution and characteristics of aerosols is essential. Recently, satellite-based Aerosol Optical Depth (AOD) data is used in various studies as periodic and quantitative information acquisition means on the global scale, but optical sensor-based satellite AOD images are missing in some areas with cloud conditions. In this study, we produced gap-free GeoKompsat 2A (GK-2A) Advanced Meteorological Imager (AMI) AOD hourly images after generating a Random Forest based gap-filling model using grid meteorological and geographic elements as input variables. The accuracy of the model is Mean Bias Error (MBE) of -0.002 and Root Mean Square Error (RMSE) of 0.145, which is higher than the target accuracy of the original data and considering that the target object is an atmospheric variable with Correlation Coefficient (CC) of 0.714, it is a model with sufficient explanatory power. The high temporal resolution of geostationary satellites is suitable for diurnal variation observation and is an important model for other research such as input for atmospheric correction, estimation of ground PM, analysis of small fires or pollutants.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.705-708
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• 2005

최근의 지구관측 위성들은 많은 양의 정보를 제한된 시간안에 지상으로 전송하기 위해 영상처리 과정에서 손실 압축 방법을 많이 사용한다. 따라서 이들 영상 압축 알고리즘들은 위성 발사전 충분히 검증되어야 하며, 현재까지는 일반적으로 압축 복원된 영상의 품질 평가를 위해 RMSE, SNR 또는 PSNR 등이 많이 이용되어왔다. 그러나 이들 방법은 원 영상과 복원된 영상의 각 화소 간의 차이를 단순 비교해서 영상 품질을 평가 하는 방법이다. 따라서 이들 방법은 각 화소 간의 차이에 의한 영상 품질은 평가가 가능 하지만 한 화소와 주변 화소와의 관계 까지는 확인 할 수 없다. 그러나 인간의 인지 능력은 한 화소 와 주변 화소 사이의 상호 관계에 매우 민감하며 특히 위성 영상의 경우 주변 물체와의 상관 정보가 무엇보다 중요하다. 본 논문에서는 이러한 기존 영상 품질 평가 방법들의 단점을 보완하기 위해 주변 화소와의 상관 관계를 포함하는 절대 모멘트를 이용한 영상 품질 평가 방법을 제안하고 제안된 방법을 고해상도의 지구관측 영상에 적용하여 성능을 검증하였다.