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시계열 MODIS 영상을 이용한 논 분류와 지형학적 인자에 따른 불확실성 분석
윤성한,최진용,유승환,장민원,Yoon, Sung-Han,Choi, Jin-Yong,Yoo, Seung-Hwan,Jang, Min-Won 한국농공학회 2007 한국농공학회논문집 Vol.49 No.5
The images of MODerate resolution Imaging Spectroradiometer (MODIS) that provide wider swath and shorter revisit frequency than Land Satellite (Landsat) and Satellite Pour I' Observation de la Terre (SPOT) has been used fer land cover classification with better spatial resolution than National Oceanic and Atmosphere Administration/Advanced Very High Resolution Radiometer (NOAA/AVHRR)'s images. Due to the advantages of MODIS, several researches have conducted, however the results for the land cover classification using MODIS images have less accuracy of classification in small areas because of low spatial resolution. In this study, uncertainty of paddy fields classification using MODIS images was conducted in the region of Gyeonggi-do and the relation between this uncertainty of estimating paddy fields and topographical factors was also explained. The accuracy of classified paddy fields was compared with the land cover map of Environmental Geographic Information System (EGIS) in 2001 classified using Landsat images. Uncertainty of paddy fields classification was analyzed about the elevation and slope from the 30m resolution Digital Elevation Model (DEM) provided in EGIS. As a result of paddy classification, user's accuracy was about 41.5% and producer's accuracy was 57.6%. About 59% extracted paddy fields represented over 50 uncertainty in one hundred scale and about 18% extracted paddy fields showed 100 uncertainty. It is considered that several land covers mixed in a MODIS pixel influenced on extracted results and most classified paddy fields were distributed through elevation I, II and slope A region.
시계열 MODIS 영상과 SAR 영상을 이용한 경기도 지역의 논 면적 추출
윤성한 ( Yoon Sung-han ),최진용 ( Choi Jin-yong ),장민원 ( Jang Min-won ),유승환 ( Yoo Seung-hwan ) 한국농공학회 2006 한국농공학회 학술대회초록집 Vol.2006 No.-
One of the advantages of remote sensing is to extract land cover information of wide area efficiently. The objective of this study is to extract paddy field area partly in Gyung-gi province using time-series of MODIS and SAR images. For the study, 27 MODIS images and 1 SAR image were collected and processed. Two different combined images were prepared to classify the paddy field. One is stacked image after NDVI calculation for each month, and the other is SAR combined image with the NDVI stacked image using resolution merge. The two images were classified by unsupervised classification and compared. The results of this study demonstrated that resolution merged image is better than stacked image in extracting paddy field.
공간추론기법을 이용한 MODIS 영상의 논 지역 추출 정확도 향상
윤성한 ( Yoon Sung-han ),최진용 ( Choi Jin-yong ),유승환 ( Yoo Seung-hwan ),장민원 ( Jang Min-won ) 한국농공학회 2007 한국농공학회 학술대회초록집 Vol.2007 No.-
The images of MODerate resolution Imaging Spectroradiometer (MODIS) that provide wider swath and shorter revisit frequency than Land Satellite (Landsat) and Satellite Pour I' Observation de la Terre (SPOT) has been used for land cover classification with better spatial resolution than National Oceanic and Atmosphere Administration/Advanced Very High Resolution Radiometer (NOAA/AVHRR)'s images. Due to the advantages of MODIS, several researches have conducted, however the results for the land cover classification using MODIS images have less accuracy of classification in small areas because of low spatial resolution. In this study, uncertainty of paddy fields classification using MODIS images was conducted in the region of Gyeonggi-do, Korea, and the relation between uncertainty of estimating paddy fields and topographical factors was explained. Spatial reasoning method was adapted to overcome the low spatial resolution problem and improve the classification accuracy. The accuracy of classified paddy fields was esitmated using the land cover map of Environmental Geographic Information System (EGIS) in 2001 classified using Landsat images. Uncertainty of paddy fields classification was analyzed about the elevation and slope from the 30m resolution Digital Elevation Model (DEM) provided from EGIS. As a result of paddy classification, user's accuracy was about 41.5% and producer's accuracy was 57.6%. About 95.6% extracted paddy fields distributed through elevation Ⅰ, Ⅱ, Ⅲ and slope A, B region. As a result of application of spatial reasoning method, paddy fields area of study area represented about 388㎢ showing the area is 74 % of statistical yearbook.
김도식(Do-Sik Kim),김형의(Hyoung-Eui Kim),윤성한(Sung-Han Yoon),강이석(E-Sok Kang) 대한기계학회 2010 大韓機械學會論文集A Vol.34 No.3
본 논문은 교정가속수명시험법을 이용하여 액슬구동축의 피로수명을 예측하는 법을 제안한다. 교정가속 수명시험법은 수명예측, 시험시간 절감, 신뢰성 정량화시에 매우 효과적이다. 피로시험은 두 개의 고 부하 수준과 한 개의 저 부하 수준에서 수행되고, 외삽법을 사용하여 사용수준에서의 수명시간을 예측하게 된다. 본 논문에서는 수행시험 결과로부터 획득한 수명시간, 가속지수, 형상모수, 척도모수등과 같은 주요 신뢰성 인자들을 보여주고 있다. 액슬구동축의 수명예측은 부하스펙트럼 데이터와 시험데이터와의 비교 연구를 수행하여 검증하였다. 교정가속수명시험법을 사용한 수명예측법은 짧은 시간내에 수명을 예측하는데 매우 효과적인 방법임을 확인하였다. In this paper, a method to predict the fatigue life of an axle drive shaft by the calibrated accelerated life test (CALT) method is proposed. The CALT method is very effective for predicting lifetimes, significantly reducing test time, and quantifying reliability. The fatigue test is performed by considering two high stress and one low stress levels, and the lifetime at the normal stress level is predicted by extrapolation. In addition, in this study, the major reliability parameters such as the lifetime, accelerated power index, shape parameter, and scale parameter are determined by conducting various experiments. The lifetime prediction of the axle drive shaft is verified by comparing the experimental results with load spectrum data. The results confirm that the CALT method is effective for lifetime prediction and requires a short test time.