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Quan, He Chun,Lee, Byung Gul 대한공간정보학회 2015 대한공간정보학회지 Vol.23 No.3
This paper mainly introduces the methods of extracting landslide information using ALOS(Advanced Land Observing Satellite) images and GIS(Geographical Information System) technology. In this study, we classified images using three different methods which are the unsupervised、the supervised and the PCA(Principal Components Analysis) for extracting landslide information based on characteristics of ALOS image. From the image classification results, we found out that the quality of classified image extracted with PCA supervised method was superior than the other images extracted with the other methods. But the accuracy of landslide information extracted from this image classification was still very low as the pixels were very similar between the landslide and safety regions. It means that it is really difficult to distinguish those areas with an image classification method alone because the values of pixels between the landslide and other areas were similar, particularly in a region where the landslide and other areas coexist. To solve this problem, we used the LSM(Landslide Susceptibility Map) created with ArcView software through weighted overlay GIS method in the areas. Finally, the developed LSM was applied to the image classification process using the ALOS images. The accuracy of the extracted landslide information was improved after adopting the PCA and LSM methods. Finally, we found that the landslide region in the study area can be calculated and the accuracy can also be improved with the LSM and PCA image classification methods using GIS tools.
He-Chun Quan,이병걸 대한토목학회 2012 KSCE Journal of Civil Engineering Vol.16 No.7
This paper presents a landslide susceptibility analysis in Jeju Island, South Korea using AHP (Analytic Hierarchy Process) and ANN (Artificial Neural Network) methods. To assess the landslide susceptibility, seven factors which affect the landslide occurrence were selected as: slope, aspect, soil type, geological type, rainfall intensity, forest and land cover. According to the relation between the above factors and landslide distribution, the weight value and rating value of each factor were calculated using AHP and ANN. Finally, we get two susceptibility maps using AcrView software through weighted overlay GIS (Geographic Information System)method. The comparative analysis reveals that the slope, rainfall intensity, soil and forest play important roles in landslide occurrence. From the results, we also found that AHP and ANN methods can be used to analyze landslide susceptibility using the data from the different area and the ANN method was more suitable and effective than AHP method. This paper presents a landslide susceptibility analysis in Jeju Island, South Korea using AHP (Analytic Hierarchy Process) and ANN (Artificial Neural Network) methods. To assess the landslide susceptibility, seven factors which affect the landslide occurrence were selected as: slope, aspect, soil type, geological type, rainfall intensity, forest and land cover. According to the relation between the above factors and landslide distribution, the weight value and rating value of each factor were calculated using AHP and ANN. Finally, we get two susceptibility maps using AcrView software through weighted overlay GIS (Geographic Information System)method. The comparative analysis reveals that the slope, rainfall intensity, soil and forest play important roles in landslide occurrence. From the results, we also found that AHP and ANN methods can be used to analyze landslide susceptibility using the data from the different area and the ANN method was more suitable and effective than AHP method.
Xiao-Quan Xu,Sheng Liu,Qing-Quan Zu,Lin-Bo Zhao,Jin-Guo Xia,Chun-Gao Zhou,Wei-Zhong Zhou,Hai-Bin Shi 대한신경과학회 2013 Journal of Clinical Neurology Vol.9 No.2
Background and Purpose This study evaluated the clinical value of detachable-balloon embolization for traumatic carotid-cavernous fistula (TCCF), focusing on the frequency, risk factors, and retreatment of recurrence. Methods Fifty-eight patients with TCCF underwent transarterial detachable-balloon embolization between October 2004 and March 2011. The clinical follow-up was performed every 3months until up to 3 years postprocedure. Each patient was placed in either the recurrence group or the nonrecurrence group according to whether a recurrence developed after the first procedure. The relevant factors including gender, fistula location, interval between trauma and the interventional procedure, blood flow in the carotid-cavernous fistula, number of balloons, and whether the internal carotid artery (ICA) was sacrificed were evaluated. Results All 58 TCCFs were successfully treated with transarterial balloon embolization, including 7 patients with ICA sacrifice. Recurrent fistulas occurred in seven patients during the follow-up period. Univariate analysis indicated that the interval between trauma and the interventional procedure (p=0.006) might be the main factor related to the recurrence of TCCF. The second treatments involved ICA sacrifice in two patients, fistula embolization with balloons in four patients, and placement of a covered stent in one patient. Conclusions Detachable balloons can still serve as the first-line treatment for TCCFs and recurrent TCCFs despite having a nonnegligible recurrence rate. Shortening the interval between trauma and the interventional procedure may reduce the risk of recurrence.