• 한국측량학회:학술대회논문집
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• 한국측량학회 2006년도 춘계학술발표회 논문집
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• pp.83-88
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• 2006

We intend to increase in efficiency of the topographic monitoring of seabed or riverbed by combined with DGPS, RTK GPS and echo sounder. For this study, we defined the error correction of the echo sounder with the experiment of water tank, which is considered the characteristic of estuary riverbed and then we developed the s/w for 3-dimensional monitoring of estuary riverbed and applied the s/w to field test and improved the various problems. On analyzing topography of estuary riverbed by combined GPS with echo sounder, the draught error which is yielded to change of length from the water surface by the movement of survey vessel to the end of the transducer was eliminated by geometrical rearrangement and we defined the correction formula, z = BM+ SAH- $DBR_{(i)}$ - DRT - ED. The sounding error about the echo sounder and characteristic of estuary riverbed was found by understanding the relation of average diameter and residual error and we defined correction formula, Y= -0.00474*In(X) -0.0045 by the regression analysis. and then we verified applicability of correction formula.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2007년도 정기총회 및 학술발표대회
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• pp.591-594
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• 2007

The purpose of this study is to estimate the critical flood discharge and flash flood trigger rainfall for alarm system providing for a flash flood in mountainous. This study was effectively estimated a topographic characteristic factor of basin using the GIS. Especially, decided stream order using GIS at stream order decision that is important for input variable of GCIUH. Result that calculate threshold discharge to use GCIUH, at the Mureung valley basin, flash flood trigger rainfall was 16.34mm in the first 20 minutes when the threshold discharge was $14.54\;m^3/sec$.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.430-433
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• 2005

In this study, weight of evidence(WOE) technique based on the bayesian method was applied to estimate the groundwater yield characteristics in the Pocheon area in Kyungki-do. The ground water preservation depends on many hydrogeologic factors that include hydrologic data, landuse data, topographic data, geological map and other natural materials, even with man-made things. All these data can be digitally collected and managed by GIS database. In the applied technique of WOE, The prior probabilities were estimated as the factors that affect the yield on lineament, geology, drainage pattern or river system density, landuse and soil. We calculated the value of the Weight W+, W- of each factor and estimated the contrast value of it. Results by the ground water yield characteristic calculations were presented in the form of posterior probability map to the consideration of in-situ samples. It is concluded that this technique is regarded as one of the effective technique for the feasibility mapping related to detection of groundwater bearing zones and its spatial pattern.

• Fisheries and Aquatic Sciences
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• 제1권2호
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• pp.168-179
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• 1998

Circulation in the Jinhae Bay in the southern sea of Korea is examined using the Princeton Ocean Model (POM) with a free surface in a sigma coordinate, governed by primitive equations. The model well corresponds to the time series of the observed velocities at several layers obtained from a long-term mooring observation. In the residual velocity field of the model, persistent downward flow fields are formed along the central deep regions in the bay, and they are caused by bottom topographic effect. In addition, a comparison between a depth-averaged (2D) model and the POM is given, and a dependance of the results on bottom drag coefficient is also examined.

• ETRI Journal
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• 제35권2호
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• pp.207-217
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• 2013

This paper introduces the modular cellular neural network (CNN), which is a new CNN structure constructed from nine one-layer modules with intercellular interactions between different modules. The new network is suitable for implementing many image processing operations. Inputting an image into the modules results in nine outputs. The topographic characteristic of the cell interactions allows the outputs to introduce new properties for image processing tasks. The stability of the system is proven and the performance is evaluated in several image processing applications. Experiment results on texture segmentation show the power of the proposed structure. The performance of the structure in a real edge detection application using the Berkeley dataset BSDS300 is also evaluated.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제2권1호
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• pp.1-14
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• 2021

The study has been carried out with an objective to prepare Siberian roe deer habitat potential maps in South Korea based on three geographic information system-based models including frequency ratio (FR) as a bivariate statistical approach as well as convolutional neural network (CNN) and long short-term memory (LSTM) as machine learning algorithms. According to field observations, 741 locations were reported as roe deer's habitat preferences. The dataset were divided with a proportion of 70:30 for constructing models and validation purposes. Through FR model, a total of 10 influential factors were opted for the modelling process, namely altitude, valley depth, slope height, topographic position index (TPI), topographic wetness index (TWI), normalized difference water index, drainage density, road density, radar intensity, and morphological feature. The results of variable importance analysis determined that TPI, TWI, altitude and valley depth have higher impact on predicting. Furthermore, the area under the receiver operating characteristic (ROC) curve was applied to assess the prediction accuracies of three models. The results showed that all the models almost have similar performances, but LSTM model had relatively higher prediction ability in comparison to FR and CNN models with the accuracy of 76% and 73% during the training and validation process. The obtained map of LSTM model was categorized into five classes of potentiality including very low, low, moderate, high and very high with proportions of 19.70%, 19.81%, 19.31%, 19.86%, and 21.31%, respectively. The resultant potential maps may be valuable to monitor and preserve the Siberian roe deer habitats.

• 한국산학기술학회논문지
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• 제21권10호
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• pp.509-516
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• 2020

1960년대 이후 경제발전을 위한 하천 개수사업, 도시화에 따른 소하천의 복개 등으로 많은 하천이 오염되고 파괴되었다. 지금까지의 연구는 측량된 하천 지형인자를 이용해 하천을 분석한 연구가 많았으나, 홍수 시와 같이 유량이 급격히 변하는 경우에는 측량이 쉽지 않다. 또한, 이전까지의 연구는 주로 하천의 횡단면에 대한 연구가 많아 하천 종단면에 대한 정보가 부족한 실정이다. 본 연구에서는 정보엔트로피 이론을 이용하여 하천 유역에 대한 평균 하천 경사, 하천 경사, 하천 종단고도를 실시간으로 산정할 수 있는 식을 제시하였으며, 충청북도 지방하천 기본계획에서 얻은 달천 유역과 부산 온천천, 동천 기본계획에서 얻은 하천 특성인자 실측 자료와 비교를 통해 적용성을 분석하였다. 이를 위해 정보엔트로피 이론에 실측 자료를 이용하여 비선형 회귀분석을 이용해 매개변수를 산정한 후 하천별 종단고도 엔트로피식을 산정하였으며, 평균 하천 경사를 산정하였다. 본 연구에서 제시한 식의 적용성을 R²로 분석한 결과, R²가 모두 0.96이상의 값으로 나타나 하천 특성인자를 산정하는데 신뢰도 높은 결과를 얻을 수 있을 것으로 보인다.

• 대한공간정보학회지
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• 제11권3호
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• pp.23-34
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• 2003

최근 GPS는 기준점 측량을 비롯한 각종 정밀측량과 항법 등에 그 효율성이 점점 증대되고 있다. 또한 구조물의 변위해석, 해양조위관측, 하천수위관측 및 수심측량 장비와의 조합에 의한 해저, 하상 지형의 모니터링 등에도 널리 이용되고 있다. 본 논문은 DGPS, RTK-GPS와 Echo Sounder 조합 해석에 의해 하구, 하상 모니터링 시 그 효율성을 높이기 위한 연구이다. 이를 위해 기초 실험으로 하구 지질특성을 고려한 수조 실험을 통해 Echo Sounder의 오차 보정량을 산출하고, 하구, 하상 3차원 모니터링을 위한 S/W를 개발하여 현장 실험에 적용, 제반 문제점을 보완하였다. GPS와 Echo Sounder의 조합에 의한 하구, 하상 지형 해석시 측량선의 유동에 의해 수면과 송수파기간의 거리변화에 대한 홀수에 의한 오차는 기하학적인 재배치를 통해 제거할 수 있었고, $z=BM+SAH-DBR_{(i)}-DRT-ED$의 보정식을 산출하였다. 또한 Echo Sounder와의 하구, 하상 지질 특성에 대한 수심측정 오차는 실험 수조를 이용하여 평균 입경-ES잔차 관계를 파악하고 회귀분석을 통해 $Y=0.00474{\ast}ln(X)-0.0045$의 보정식을 산출하여 적용 가능성을 검증하였다.

• 한국조경학회지
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• 제38권5_2호
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• pp.194-205
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• 2010

To predict urban growth according to changes in landcover, probability factors werecal culated and mapped. Topographic, geographic and social and political factors were used as prediction variables for constructing probability maps of urban growth. Urban growth-related factors included elevation, slope, aspect, distance from road,road ratio, distance from the main city, land cover, environmental rating and legislative rating. Accounting for these factors, probability maps of urban growth were constr uctedusing frequency ratio (FR) and logistic regression (LR) methods and the effectiveness of the results was verified by the relative operating characteristic (ROC). ROC values of the urban growth probability index (UGPI) maps by the FR and LR models were 0.937 and 0.940, respectively. The LR map had a slightly higher ROC value than the FR map, but the numerical difference was slight, with both models showing similar results. The FR model is the simplest tool for probability analysis of urban growth, providing a faster and easier calculation process than other available tools. Additionally, the results can be easily interpreted. In contrast, for the LR model, only a limited amount of input data can be processed by the statistical program and a separate conversion process for input and output data is necessary. In conclusion, although the FR model is the simplest way to analyze the probability of urban growth, the LR model is more appropriate because it allows for quantitative analysis.

• 지구물리와물리탐사
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• 제4권2호
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• pp.34-44
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• 2001

종래의 탄성파 모델링은 지표를 수평면으로 가정하고 그 아래쪽에 여러 개의 반사면에 대한 모델링이 대부분 이었다. 그러나, 실제 탐사에서는 복잡한 지형을 가진 지표에서 탐사가 수행되기 때문에 탄성 매질에서의 반응을 명확하게 구분해 내는 것이 힘들다. 지표에 탄성파 전파특성을 규명하기 위하여 모델에 지형을 고려할 수 있도록 하여 시간영역 유한요소법을 이용하여 매질의 반응을 구하였다. 이러한 이러한 알고리즘을 이용하여 지표에서 진원을 가했을 때 수평 및 제방(mound), 채널(channel)등의 구조로부터 지표의 수신기에서 합성 탄성파 기록을 관찰하고, 스냅사진(snapshot)을 얻어냄으로써 해석해와 잘 일치함을 확인하였고, 지표 및 지하 반사면에 의한 복잡한 탄성파의 전파 양상을 파악할 수 있었다. 불규칙 지표면을 따라 전파하는 표면파가 모서리에서 새로운 진원으로 작용하여 큰 잡음이 생성됨을 관찰하였고, 지표를 따라 전파하는 높은 에너지의 레일리파, 상대적으로 낮은 압축파, 전단파 등의 전파 양상으로부터 파의 천이 상태를 관찰할 수 있었다.