• Title/Summary/Keyword: 통계적 면적척도

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Comparison of the fusion methods for generating of 250m MODIS data (MODIS 해상도 향상을 위한 합성 방법의 비교)

  • Kim, Sun-Hwa;Kang, Sung-Jin;Lee, Kyu-Sung
    • Proceedings of the KSRS Conference
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    • 2009.03a
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    • pp.260-265
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    • 2009
  • 최근 전 세계적으로 많이 활용되는 MODIS영상은 250m 밴드 2개, 500m 밴드 5개, 1km 해상도의 밴드 29개로 제공된다. 그러나, 국내의 경우 상대적으로 국토 면적이 작고, 그 구조가 복잡하여 MODIS영상의 1km, 500m의 낮은 공간해 상도는 제약점으로 지적되고 있다. 따라서 본 연구에서는 이러한 공간해상도의 제약점을 해결하기 위해, MODIS 250m 2개 밴드와 500m 5개 밴드 영상을 합성하여 250m 공간해상도의 7개 밴드를 제작하였다. 이를 위해 Wavelet 합성방법을 비롯한 7개 합성방법을 적용하였으며, 6개의 통계적 합성 평가 척도를 적용하여 MODIS 합성 결과를 분석하였다. 연구 결과, 육안평가로는 LMVM 합성기법이 가장 선명한 합성영상을 제시하였으며, 합성평가 척도에서는 각 밴드별로 적합한 합성기법이 다르게 나왔으나, 전체적으로 PCA, LST, LMVM합성방법이 상대적으로 우수한 합성결과를 나타냈었다.

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Statistical Effective Interval Determination and Reliability Assessment of Input Variables Under Aleatory Uncertainties (물리적 불확실성을 내재한 입력변수의 확률 통계 기반 유효 범위 결정 방법 및 신뢰성 평가)

  • Joo, Minho;Doh, Jaehyeok;Choi, Sukyo;Lee, Jongsoo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.11
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    • pp.1099-1108
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    • 2017
  • Data points obtained by conducting repetitive experiments under identical environmental conditions are, theoretically, required to correspond. However, experimental data often display variations due to generated errors or noise resulting from various factors and inherent uncertainties. In this study, an algorithm aiming to determine valid bounds of input variables, representing uncertainties, was developed using probabilistic and statistical methods. Furthermore, a reliability assessment was performed to verify and validate applications of this algorithm using bolt-fastening friction coefficient data in a sample application.

The Analysis of Terrain and Topography using Fractal (프랙탈 기법에 의한 지형의 특성분석)

  • Kwon, Kee-Wook;Jee, Hyung-Kyu;Lee, Jong-Dal
    • Journal of the Korean association of regional geographers
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    • v.11 no.6
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    • pp.530-542
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    • 2005
  • In this study, GIS method has been used to get fractal characteristics. Using the projected area and surface area, 2 dimensional fractal characteristic of terrain was found out. Correlation of fractal dimension and mean slope were also checked over. Results are as below. 1) To get a fractal dimension, the method which is using the surface area is also directly proportional to complexity of the terrain as other fractal dimension. 2) Fractal dimensions using the surface area, that is proposed in this thesis are carried out as below : Uiseong : $2.02{\sim}2.15$ Yeongcheon : $2.10{\sim}2.24$. These values are in a range of fractal $2.10{\sim}2.20$ dimensions which has known. 3) Correlation of mean slope and fractal dimension is diminished about 30% in a region which is more than $25^{\circ}$ of mean slope. So, in this region using the fractal dimension method is better than using the mean slope. From this study, on formula using the projected area and surface area is still good to get a fractal dimension that has been found. But to confirm this method the region of research should be wider and be set up the correlation of mean slope, surface area and fractal dimension. It can be applicable to restoration of terrain and traffic flow analysis in the future research.

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An Improved LOS Analysis Method for Pedestrian Walkways Using Pedestrian Space (보행 점유공간을 이용한 보행자도로 서비스수준 분석방법론 개선 연구)

  • JUN, Sung Uk;SON, Yonug Tae
    • Journal of Korean Society of Transportation
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    • v.34 no.2
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    • pp.168-179
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    • 2016
  • This study describes an improved model for estimating pedestrian LOS (Level of Service) by utilizing the space occupied by pedestrians. The method introduced the concept of conflict along the bi-directional pedestrian flow which enables calculating conflict area and average travel time in walking. Especially, the method incorporates the idea of generalized density concept which can consider effective walking area and pedestrian flow rates that might vary during the analysis period. After establishing methodology, adjustments of pedestrian LOS criteria in term of walking space occupied by pedestrians were performed. As a result, walking-occupied space at capacity level is 0.68 and corresponding pedestrian flow rate was calculated as 80 persons/min/m, while different pedestrian-occupied spaces were ordered to classify LOS at the points where the gradient changes. Furthermore, the statistical verification of service levels has shown that there is significant difference among all LOS categories at 5% significance level.